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+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/bottle/adapter_config.json b/checkpoints/sd_lora/bottle/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
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+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
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+version https://git-lfs.github.com/spec/v1
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+size 8285640
diff --git a/checkpoints/sd_lora/bottle/checkpoint-500/README.md b/checkpoints/sd_lora/bottle/checkpoint-500/README.md
new file mode 100644
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@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/bottle/checkpoint-500/adapter_config.json b/checkpoints/sd_lora/bottle/checkpoint-500/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
+++ b/checkpoints/sd_lora/bottle/checkpoint-500/adapter_config.json
@@ -0,0 +1,48 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/bottle/checkpoint-500/adapter_model.safetensors b/checkpoints/sd_lora/bottle/checkpoint-500/adapter_model.safetensors
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+version https://git-lfs.github.com/spec/v1
+oid sha256:9a5aff801a35a240071b2f8dd37263cd4ecfc6cb5aab32c960557ed4d5e29c1c
+size 8285640
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+version https://git-lfs.github.com/spec/v1
+oid sha256:b5763b17f0226530be3201aa285392575cec75cbbc19bcbd9c97e1cbdfa02486
+size 7688
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+++ b/checkpoints/sd_lora/bottle/training_meta.json
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+{
+  "category": "bottle",
+  "n_triplets": 63,
+  "total_steps": 945,
+  "final_loss": 0.07812,
+  "best_loss": 0.000773,
+  "mean_loss_last_100": 0.085407,
+  "config": {
+    "rank": 8,
+    "alpha": 16,
+    "dropout": 0.05,
+    "target_modules": [
+      "to_q",
+      "to_k",
+      "to_v",
+      "to_out.0",
+      "proj_in",
+      "proj_out"
+    ],
+    "learning_rate": 0.0001,
+    "weight_decay": 0.01,
+    "max_steps_per_category": 1500,
+    "min_steps_per_category": 400,
+    "steps_per_sample": 15,
+    "batch_size": 1,
+    "grad_accum": 4,
+    "warmup_ratio": 0.1,
+    "save_every": 500,
+    "resolution": 512,
+    "mixed_precision": true
+  },
+  "base_model": "sd2-community/stable-diffusion-2-inpainting",
+  "timestamp": "2026-04-09T06:41:27.107306"
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/cable/.done b/checkpoints/sd_lora/cable/.done
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/checkpoints/sd_lora/cable/README.md b/checkpoints/sd_lora/cable/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..5e09672414386a3861dff632bcb7570dedbf01b6
--- /dev/null
+++ b/checkpoints/sd_lora/cable/README.md
@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/cable/adapter_config.json b/checkpoints/sd_lora/cable/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
+++ b/checkpoints/sd_lora/cable/adapter_config.json
@@ -0,0 +1,48 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
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@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d04e0e844b25171269f4eaf6a3d35162611a799917dc5b07f460e030b19f012a
+size 8285640
diff --git a/checkpoints/sd_lora/cable/checkpoint-1000/README.md b/checkpoints/sd_lora/cable/checkpoint-1000/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..5e09672414386a3861dff632bcb7570dedbf01b6
--- /dev/null
+++ b/checkpoints/sd_lora/cable/checkpoint-1000/README.md
@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/cable/checkpoint-1000/adapter_config.json b/checkpoints/sd_lora/cable/checkpoint-1000/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
+++ b/checkpoints/sd_lora/cable/checkpoint-1000/adapter_config.json
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+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/cable/checkpoint-1000/adapter_model.safetensors b/checkpoints/sd_lora/cable/checkpoint-1000/adapter_model.safetensors
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diff --git a/checkpoints/sd_lora/cable/checkpoint-500/README.md b/checkpoints/sd_lora/cable/checkpoint-500/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..5e09672414386a3861dff632bcb7570dedbf01b6
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@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/cable/checkpoint-500/adapter_config.json b/checkpoints/sd_lora/cable/checkpoint-500/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
+++ b/checkpoints/sd_lora/cable/checkpoint-500/adapter_config.json
@@ -0,0 +1,48 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/cable/checkpoint-500/adapter_model.safetensors b/checkpoints/sd_lora/cable/checkpoint-500/adapter_model.safetensors
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+version https://git-lfs.github.com/spec/v1
+oid sha256:c7fa8caed45cc6a39a962b2cbfb610adffb1bdfb306f64f3a1fa48a33acf2354
+size 8285640
diff --git a/checkpoints/sd_lora/cable/loss_curve.npy b/checkpoints/sd_lora/cable/loss_curve.npy
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+version https://git-lfs.github.com/spec/v1
+oid sha256:4799c28e37fba7339afa7044cb453e56fdb84895e1f8d84cc5345195cb3d491a
+size 11168
diff --git a/checkpoints/sd_lora/cable/training_meta.json b/checkpoints/sd_lora/cable/training_meta.json
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+++ b/checkpoints/sd_lora/cable/training_meta.json
@@ -0,0 +1,34 @@
+{
+  "category": "cable",
+  "n_triplets": 92,
+  "total_steps": 1380,
+  "final_loss": 0.010519,
+  "best_loss": 0.00207,
+  "mean_loss_last_100": 0.176273,
+  "config": {
+    "rank": 8,
+    "alpha": 16,
+    "dropout": 0.05,
+    "target_modules": [
+      "to_q",
+      "to_k",
+      "to_v",
+      "to_out.0",
+      "proj_in",
+      "proj_out"
+    ],
+    "learning_rate": 0.0001,
+    "weight_decay": 0.01,
+    "max_steps_per_category": 1500,
+    "min_steps_per_category": 400,
+    "steps_per_sample": 15,
+    "batch_size": 1,
+    "grad_accum": 4,
+    "warmup_ratio": 0.1,
+    "save_every": 500,
+    "resolution": 512,
+    "mixed_precision": true
+  },
+  "base_model": "sd2-community/stable-diffusion-2-inpainting",
+  "timestamp": "2026-04-09T06:44:25.943816"
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/capsule/.done b/checkpoints/sd_lora/capsule/.done
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/checkpoints/sd_lora/capsule/README.md b/checkpoints/sd_lora/capsule/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..5e09672414386a3861dff632bcb7570dedbf01b6
--- /dev/null
+++ b/checkpoints/sd_lora/capsule/README.md
@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/capsule/adapter_config.json b/checkpoints/sd_lora/capsule/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
+++ b/checkpoints/sd_lora/capsule/adapter_config.json
@@ -0,0 +1,48 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/capsule/adapter_model.safetensors b/checkpoints/sd_lora/capsule/adapter_model.safetensors
new file mode 100644
index 0000000000000000000000000000000000000000..fb8f8fc4bd350a31d2aff11a316862940a770c58
--- /dev/null
+++ b/checkpoints/sd_lora/capsule/adapter_model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ee501f4669c41dcbadb7cf3270f713efd3518c60cd8566b491d89791a5998ee7
+size 8285640
diff --git a/checkpoints/sd_lora/capsule/checkpoint-1000/README.md b/checkpoints/sd_lora/capsule/checkpoint-1000/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..5e09672414386a3861dff632bcb7570dedbf01b6
--- /dev/null
+++ b/checkpoints/sd_lora/capsule/checkpoint-1000/README.md
@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/capsule/checkpoint-1000/adapter_config.json b/checkpoints/sd_lora/capsule/checkpoint-1000/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
+++ b/checkpoints/sd_lora/capsule/checkpoint-1000/adapter_config.json
@@ -0,0 +1,48 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/capsule/checkpoint-1000/adapter_model.safetensors b/checkpoints/sd_lora/capsule/checkpoint-1000/adapter_model.safetensors
new file mode 100644
index 0000000000000000000000000000000000000000..aeb6d4f198bf740b4dfb188e4721eb6c08bd7aef
--- /dev/null
+++ b/checkpoints/sd_lora/capsule/checkpoint-1000/adapter_model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e0cc6439e738e306587c9e767ff480cc4ada884775d0e0e80e5713f71de03856
+size 8285640
diff --git a/checkpoints/sd_lora/capsule/checkpoint-1500/README.md b/checkpoints/sd_lora/capsule/checkpoint-1500/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..5e09672414386a3861dff632bcb7570dedbf01b6
--- /dev/null
+++ b/checkpoints/sd_lora/capsule/checkpoint-1500/README.md
@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/capsule/checkpoint-1500/adapter_config.json b/checkpoints/sd_lora/capsule/checkpoint-1500/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
+++ b/checkpoints/sd_lora/capsule/checkpoint-1500/adapter_config.json
@@ -0,0 +1,48 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/capsule/checkpoint-1500/adapter_model.safetensors b/checkpoints/sd_lora/capsule/checkpoint-1500/adapter_model.safetensors
new file mode 100644
index 0000000000000000000000000000000000000000..fb8f8fc4bd350a31d2aff11a316862940a770c58
--- /dev/null
+++ b/checkpoints/sd_lora/capsule/checkpoint-1500/adapter_model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ee501f4669c41dcbadb7cf3270f713efd3518c60cd8566b491d89791a5998ee7
+size 8285640
diff --git a/checkpoints/sd_lora/capsule/checkpoint-500/README.md b/checkpoints/sd_lora/capsule/checkpoint-500/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..5e09672414386a3861dff632bcb7570dedbf01b6
--- /dev/null
+++ b/checkpoints/sd_lora/capsule/checkpoint-500/README.md
@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/capsule/checkpoint-500/adapter_config.json b/checkpoints/sd_lora/capsule/checkpoint-500/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
+++ b/checkpoints/sd_lora/capsule/checkpoint-500/adapter_config.json
@@ -0,0 +1,48 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
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+  "layers_to_transform": null,
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+{
+  "category": "capsule",
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+  "total_steps": 1500,
+  "final_loss": 0.008136,
+  "best_loss": 0.00068,
+  "mean_loss_last_100": 0.093895,
+  "config": {
+    "rank": 8,
+    "alpha": 16,
+    "dropout": 0.05,
+    "target_modules": [
+      "to_q",
+      "to_k",
+      "to_v",
+      "to_out.0",
+      "proj_in",
+      "proj_out"
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+    "grad_accum": 4,
+    "warmup_ratio": 0.1,
+    "save_every": 500,
+    "resolution": 512,
+    "mixed_precision": true
+  },
+  "base_model": "sd2-community/stable-diffusion-2-inpainting",
+  "timestamp": "2026-04-09T06:47:39.697206"
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/carpet/.done b/checkpoints/sd_lora/carpet/.done
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diff --git a/checkpoints/sd_lora/carpet/README.md b/checkpoints/sd_lora/carpet/README.md
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@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/carpet/adapter_config.json b/checkpoints/sd_lora/carpet/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
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+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
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+version https://git-lfs.github.com/spec/v1
+oid sha256:e61f8d711a75af315160734bd8c9d098d9d7a72d4fe889bfa3bb452a7ead6804
+size 8285640
diff --git a/checkpoints/sd_lora/carpet/checkpoint-1000/README.md b/checkpoints/sd_lora/carpet/checkpoint-1000/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..5e09672414386a3861dff632bcb7570dedbf01b6
--- /dev/null
+++ b/checkpoints/sd_lora/carpet/checkpoint-1000/README.md
@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/carpet/checkpoint-1000/adapter_config.json b/checkpoints/sd_lora/carpet/checkpoint-1000/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
+++ b/checkpoints/sd_lora/carpet/checkpoint-1000/adapter_config.json
@@ -0,0 +1,48 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
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+version https://git-lfs.github.com/spec/v1
+oid sha256:e717454fa6515c7a61b96bea57e20cc4794c7c7d2141dceb54a7cf9f51e2eda7
+size 8285640
diff --git a/checkpoints/sd_lora/carpet/checkpoint-500/README.md b/checkpoints/sd_lora/carpet/checkpoint-500/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..5e09672414386a3861dff632bcb7570dedbf01b6
--- /dev/null
+++ b/checkpoints/sd_lora/carpet/checkpoint-500/README.md
@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/carpet/checkpoint-500/adapter_config.json b/checkpoints/sd_lora/carpet/checkpoint-500/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
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+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
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+  "bias": "none",
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+  "peft_type": "LORA",
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+  "r": 8,
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+  "target_modules": [
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+}
\ No newline at end of file
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+{
+  "category": "carpet",
+  "n_triplets": 89,
+  "total_steps": 1335,
+  "final_loss": 0.156088,
+  "best_loss": 0.002349,
+  "mean_loss_last_100": 0.133757,
+  "config": {
+    "rank": 8,
+    "alpha": 16,
+    "dropout": 0.05,
+    "target_modules": [
+      "to_q",
+      "to_k",
+      "to_v",
+      "to_out.0",
+      "proj_in",
+      "proj_out"
+    ],
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+    "weight_decay": 0.01,
+    "max_steps_per_category": 1500,
+    "min_steps_per_category": 400,
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+    "grad_accum": 4,
+    "warmup_ratio": 0.1,
+    "save_every": 500,
+    "resolution": 512,
+    "mixed_precision": true
+  },
+  "base_model": "sd2-community/stable-diffusion-2-inpainting",
+  "timestamp": "2026-04-09T06:50:34.001729"
+}
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diff --git a/checkpoints/sd_lora/grid/.done b/checkpoints/sd_lora/grid/.done
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diff --git a/checkpoints/sd_lora/grid/README.md b/checkpoints/sd_lora/grid/README.md
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+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/grid/adapter_config.json b/checkpoints/sd_lora/grid/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
+++ b/checkpoints/sd_lora/grid/adapter_config.json
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+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
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+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
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+oid sha256:a8a8f94db5b9875cfe00655647e1c1f7969a34062cfc45e2ddda50150fb54e6f
+size 8285640
diff --git a/checkpoints/sd_lora/grid/checkpoint-500/README.md b/checkpoints/sd_lora/grid/checkpoint-500/README.md
new file mode 100644
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+++ b/checkpoints/sd_lora/grid/checkpoint-500/README.md
@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
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+  "use_rslora": false
+}
\ No newline at end of file
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+    "dropout": 0.05,
+    "target_modules": [
+      "to_q",
+      "to_k",
+      "to_v",
+      "to_out.0",
+      "proj_in",
+      "proj_out"
+    ],
+    "learning_rate": 0.0001,
+    "weight_decay": 0.01,
+    "max_steps_per_category": 1500,
+    "min_steps_per_category": 400,
+    "steps_per_sample": 15,
+    "batch_size": 1,
+    "grad_accum": 4,
+    "warmup_ratio": 0.1,
+    "save_every": 500,
+    "resolution": 512,
+    "mixed_precision": true
+  },
+  "base_model": "sd2-community/stable-diffusion-2-inpainting",
+  "timestamp": "2026-04-09T06:52:27.337030"
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/hazelnut/.done b/checkpoints/sd_lora/hazelnut/.done
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/checkpoints/sd_lora/hazelnut/README.md b/checkpoints/sd_lora/hazelnut/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..5e09672414386a3861dff632bcb7570dedbf01b6
--- /dev/null
+++ b/checkpoints/sd_lora/hazelnut/README.md
@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/hazelnut/adapter_config.json b/checkpoints/sd_lora/hazelnut/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
+++ b/checkpoints/sd_lora/hazelnut/adapter_config.json
@@ -0,0 +1,48 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/hazelnut/adapter_model.safetensors b/checkpoints/sd_lora/hazelnut/adapter_model.safetensors
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+version https://git-lfs.github.com/spec/v1
+oid sha256:c52e1f9b90d0ef625d080db2cbcc2e469a081145fd99b3ec74493eb2e76f26fa
+size 8285640
diff --git a/checkpoints/sd_lora/hazelnut/checkpoint-1000/README.md b/checkpoints/sd_lora/hazelnut/checkpoint-1000/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..5e09672414386a3861dff632bcb7570dedbf01b6
--- /dev/null
+++ b/checkpoints/sd_lora/hazelnut/checkpoint-1000/README.md
@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/hazelnut/checkpoint-1000/adapter_config.json b/checkpoints/sd_lora/hazelnut/checkpoint-1000/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
+++ b/checkpoints/sd_lora/hazelnut/checkpoint-1000/adapter_config.json
@@ -0,0 +1,48 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/hazelnut/checkpoint-1000/adapter_model.safetensors b/checkpoints/sd_lora/hazelnut/checkpoint-1000/adapter_model.safetensors
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+version https://git-lfs.github.com/spec/v1
+oid sha256:e7da726ab8bf93aa14ce9382c2991b4a392e0a0314b301178b4d0c29579a600f
+size 8285640
diff --git a/checkpoints/sd_lora/hazelnut/checkpoint-500/README.md b/checkpoints/sd_lora/hazelnut/checkpoint-500/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..5e09672414386a3861dff632bcb7570dedbf01b6
--- /dev/null
+++ b/checkpoints/sd_lora/hazelnut/checkpoint-500/README.md
@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/hazelnut/checkpoint-500/adapter_config.json b/checkpoints/sd_lora/hazelnut/checkpoint-500/adapter_config.json
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+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
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+  "total_steps": 1050,
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+  "config": {
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+    "alpha": 16,
+    "dropout": 0.05,
+    "target_modules": [
+      "to_q",
+      "to_k",
+      "to_v",
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+    "grad_accum": 4,
+    "warmup_ratio": 0.1,
+    "save_every": 500,
+    "resolution": 512,
+    "mixed_precision": true
+  },
+  "base_model": "sd2-community/stable-diffusion-2-inpainting",
+  "timestamp": "2026-04-09T06:54:45.903876"
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/leather/.done b/checkpoints/sd_lora/leather/.done
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@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/leather/adapter_config.json b/checkpoints/sd_lora/leather/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
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+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/leather/adapter_model.safetensors b/checkpoints/sd_lora/leather/adapter_model.safetensors
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+version https://git-lfs.github.com/spec/v1
+oid sha256:0a529ebd54d01210b863ce656ead858b91df101bf06c51e24851c694b9361705
+size 8285640
diff --git a/checkpoints/sd_lora/leather/checkpoint-1000/README.md b/checkpoints/sd_lora/leather/checkpoint-1000/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..5e09672414386a3861dff632bcb7570dedbf01b6
--- /dev/null
+++ b/checkpoints/sd_lora/leather/checkpoint-1000/README.md
@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/leather/checkpoint-1000/adapter_config.json b/checkpoints/sd_lora/leather/checkpoint-1000/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
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+++ b/checkpoints/sd_lora/leather/checkpoint-1000/adapter_config.json
@@ -0,0 +1,48 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
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+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
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+version https://git-lfs.github.com/spec/v1
+oid sha256:af7606250aff152a67e2b16783b968782b18ac33bfc94c4a1a87859abf69c4c0
+size 8285640
diff --git a/checkpoints/sd_lora/leather/checkpoint-500/README.md b/checkpoints/sd_lora/leather/checkpoint-500/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..5e09672414386a3861dff632bcb7570dedbf01b6
--- /dev/null
+++ b/checkpoints/sd_lora/leather/checkpoint-500/README.md
@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/leather/checkpoint-500/adapter_config.json b/checkpoints/sd_lora/leather/checkpoint-500/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
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+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
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+  "bias": "none",
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+  "ensure_weight_tying": false,
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+  "init_lora_weights": "gaussian",
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+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
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+  "revision": null,
+  "target_modules": [
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+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
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+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
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+  "use_rslora": false
+}
\ No newline at end of file
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+{
+  "category": "leather",
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+  "total_steps": 1350,
+  "final_loss": 0.003564,
+  "best_loss": 0.001768,
+  "mean_loss_last_100": 0.167218,
+  "config": {
+    "rank": 8,
+    "alpha": 16,
+    "dropout": 0.05,
+    "target_modules": [
+      "to_q",
+      "to_k",
+      "to_v",
+      "to_out.0",
+      "proj_in",
+      "proj_out"
+    ],
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+    "weight_decay": 0.01,
+    "max_steps_per_category": 1500,
+    "min_steps_per_category": 400,
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+    "grad_accum": 4,
+    "warmup_ratio": 0.1,
+    "save_every": 500,
+    "resolution": 512,
+    "mixed_precision": true
+  },
+  "base_model": "sd2-community/stable-diffusion-2-inpainting",
+  "timestamp": "2026-04-09T06:57:43.391101"
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/metal_nut/.done b/checkpoints/sd_lora/metal_nut/.done
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diff --git a/checkpoints/sd_lora/metal_nut/README.md b/checkpoints/sd_lora/metal_nut/README.md
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@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/metal_nut/adapter_config.json b/checkpoints/sd_lora/metal_nut/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
+++ b/checkpoints/sd_lora/metal_nut/adapter_config.json
@@ -0,0 +1,48 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/metal_nut/adapter_model.safetensors b/checkpoints/sd_lora/metal_nut/adapter_model.safetensors
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+++ b/checkpoints/sd_lora/metal_nut/adapter_model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d0fc87426161378dbfcef147c72de8765243fbcff591688e527c6291d35bd606
+size 8285640
diff --git a/checkpoints/sd_lora/metal_nut/checkpoint-1000/README.md b/checkpoints/sd_lora/metal_nut/checkpoint-1000/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..5e09672414386a3861dff632bcb7570dedbf01b6
--- /dev/null
+++ b/checkpoints/sd_lora/metal_nut/checkpoint-1000/README.md
@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/metal_nut/checkpoint-1000/adapter_config.json b/checkpoints/sd_lora/metal_nut/checkpoint-1000/adapter_config.json
new file mode 100644
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+++ b/checkpoints/sd_lora/metal_nut/checkpoint-1000/adapter_config.json
@@ -0,0 +1,48 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
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+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
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+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
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+version https://git-lfs.github.com/spec/v1
+oid sha256:98f4f43ae9a934e401d5f83d62037b58a789f5843e9bcccd5c6d2af50884cd5b
+size 8285640
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new file mode 100644
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--- /dev/null
+++ b/checkpoints/sd_lora/metal_nut/checkpoint-500/README.md
@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/metal_nut/checkpoint-500/adapter_config.json b/checkpoints/sd_lora/metal_nut/checkpoint-500/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
+++ b/checkpoints/sd_lora/metal_nut/checkpoint-500/adapter_config.json
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+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/metal_nut/checkpoint-500/adapter_model.safetensors b/checkpoints/sd_lora/metal_nut/checkpoint-500/adapter_model.safetensors
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+oid sha256:4cb84c02857b04ab796cdbd5d4cab2d8f3b9e293db48f40b3d883e9453e9e7ef
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diff --git a/checkpoints/sd_lora/metal_nut/training_meta.json b/checkpoints/sd_lora/metal_nut/training_meta.json
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+++ b/checkpoints/sd_lora/metal_nut/training_meta.json
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+{
+  "category": "metal_nut",
+  "n_triplets": 93,
+  "total_steps": 1395,
+  "final_loss": 0.012971,
+  "best_loss": 0.001537,
+  "mean_loss_last_100": 0.134701,
+  "config": {
+    "rank": 8,
+    "alpha": 16,
+    "dropout": 0.05,
+    "target_modules": [
+      "to_q",
+      "to_k",
+      "to_v",
+      "to_out.0",
+      "proj_in",
+      "proj_out"
+    ],
+    "learning_rate": 0.0001,
+    "weight_decay": 0.01,
+    "max_steps_per_category": 1500,
+    "min_steps_per_category": 400,
+    "steps_per_sample": 15,
+    "batch_size": 1,
+    "grad_accum": 4,
+    "warmup_ratio": 0.1,
+    "save_every": 500,
+    "resolution": 512,
+    "mixed_precision": true
+  },
+  "base_model": "sd2-community/stable-diffusion-2-inpainting",
+  "timestamp": "2026-04-09T07:00:44.192155"
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/pill/.done b/checkpoints/sd_lora/pill/.done
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/checkpoints/sd_lora/pill/README.md b/checkpoints/sd_lora/pill/README.md
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index 0000000000000000000000000000000000000000..5e09672414386a3861dff632bcb7570dedbf01b6
--- /dev/null
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@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/pill/adapter_config.json b/checkpoints/sd_lora/pill/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
+++ b/checkpoints/sd_lora/pill/adapter_config.json
@@ -0,0 +1,48 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/pill/adapter_model.safetensors b/checkpoints/sd_lora/pill/adapter_model.safetensors
new file mode 100644
index 0000000000000000000000000000000000000000..8a0be085b37a6b569e752042ff60880d632b8e6a
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+++ b/checkpoints/sd_lora/pill/adapter_model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3493b8ea6a20c844220405dc211bd6b58a55525bf3d861c890ca230f97e93373
+size 8285640
diff --git a/checkpoints/sd_lora/pill/checkpoint-1000/README.md b/checkpoints/sd_lora/pill/checkpoint-1000/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..5e09672414386a3861dff632bcb7570dedbf01b6
--- /dev/null
+++ b/checkpoints/sd_lora/pill/checkpoint-1000/README.md
@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/pill/checkpoint-1000/adapter_config.json b/checkpoints/sd_lora/pill/checkpoint-1000/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
+++ b/checkpoints/sd_lora/pill/checkpoint-1000/adapter_config.json
@@ -0,0 +1,48 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
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+  "loftq_config": {},
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+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
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+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/pill/checkpoint-1000/adapter_model.safetensors b/checkpoints/sd_lora/pill/checkpoint-1000/adapter_model.safetensors
new file mode 100644
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+version https://git-lfs.github.com/spec/v1
+oid sha256:869603145efd42fb8d4f3e6f4324e30e04e32d703cd9091b4edb0491b9fb18a1
+size 8285640
diff --git a/checkpoints/sd_lora/pill/checkpoint-1500/README.md b/checkpoints/sd_lora/pill/checkpoint-1500/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..5e09672414386a3861dff632bcb7570dedbf01b6
--- /dev/null
+++ b/checkpoints/sd_lora/pill/checkpoint-1500/README.md
@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/pill/checkpoint-1500/adapter_config.json b/checkpoints/sd_lora/pill/checkpoint-1500/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
+++ b/checkpoints/sd_lora/pill/checkpoint-1500/adapter_config.json
@@ -0,0 +1,48 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/pill/checkpoint-1500/adapter_model.safetensors b/checkpoints/sd_lora/pill/checkpoint-1500/adapter_model.safetensors
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@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3493b8ea6a20c844220405dc211bd6b58a55525bf3d861c890ca230f97e93373
+size 8285640
diff --git a/checkpoints/sd_lora/pill/checkpoint-500/README.md b/checkpoints/sd_lora/pill/checkpoint-500/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..5e09672414386a3861dff632bcb7570dedbf01b6
--- /dev/null
+++ b/checkpoints/sd_lora/pill/checkpoint-500/README.md
@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/pill/checkpoint-500/adapter_config.json b/checkpoints/sd_lora/pill/checkpoint-500/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
+++ b/checkpoints/sd_lora/pill/checkpoint-500/adapter_config.json
@@ -0,0 +1,48 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/pill/checkpoint-500/adapter_model.safetensors b/checkpoints/sd_lora/pill/checkpoint-500/adapter_model.safetensors
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+++ b/checkpoints/sd_lora/pill/checkpoint-500/adapter_model.safetensors
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+version https://git-lfs.github.com/spec/v1
+oid sha256:e0cf85a5f4ddd0068266b7cd2c2fb93bef6052d2bd875b677c38f7bb6c72350e
+size 8285640
diff --git a/checkpoints/sd_lora/pill/loss_curve.npy b/checkpoints/sd_lora/pill/loss_curve.npy
new file mode 100644
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+version https://git-lfs.github.com/spec/v1
+oid sha256:b9ac1f3b93f12676159b16f7a199d54c975e1de9a8733073af3660ae225e2df7
+size 12128
diff --git a/checkpoints/sd_lora/pill/training_meta.json b/checkpoints/sd_lora/pill/training_meta.json
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+++ b/checkpoints/sd_lora/pill/training_meta.json
@@ -0,0 +1,34 @@
+{
+  "category": "pill",
+  "n_triplets": 134,
+  "total_steps": 1500,
+  "final_loss": 0.053801,
+  "best_loss": 0.000655,
+  "mean_loss_last_100": 0.129634,
+  "config": {
+    "rank": 8,
+    "alpha": 16,
+    "dropout": 0.05,
+    "target_modules": [
+      "to_q",
+      "to_k",
+      "to_v",
+      "to_out.0",
+      "proj_in",
+      "proj_out"
+    ],
+    "learning_rate": 0.0001,
+    "weight_decay": 0.01,
+    "max_steps_per_category": 1500,
+    "min_steps_per_category": 400,
+    "steps_per_sample": 15,
+    "batch_size": 1,
+    "grad_accum": 4,
+    "warmup_ratio": 0.1,
+    "save_every": 500,
+    "resolution": 512,
+    "mixed_precision": true
+  },
+  "base_model": "sd2-community/stable-diffusion-2-inpainting",
+  "timestamp": "2026-04-09T07:03:59.036197"
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/screw/.done b/checkpoints/sd_lora/screw/.done
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/checkpoints/sd_lora/screw/README.md b/checkpoints/sd_lora/screw/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..5e09672414386a3861dff632bcb7570dedbf01b6
--- /dev/null
+++ b/checkpoints/sd_lora/screw/README.md
@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/screw/adapter_config.json b/checkpoints/sd_lora/screw/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
+++ b/checkpoints/sd_lora/screw/adapter_config.json
@@ -0,0 +1,48 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/screw/adapter_model.safetensors b/checkpoints/sd_lora/screw/adapter_model.safetensors
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+version https://git-lfs.github.com/spec/v1
+oid sha256:372227c660e8dcbfc2ef86ee99c5fee293cb150d551a8df31c1bb3642c867c13
+size 8285640
diff --git a/checkpoints/sd_lora/screw/checkpoint-1000/README.md b/checkpoints/sd_lora/screw/checkpoint-1000/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..5e09672414386a3861dff632bcb7570dedbf01b6
--- /dev/null
+++ b/checkpoints/sd_lora/screw/checkpoint-1000/README.md
@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/screw/checkpoint-1000/adapter_config.json b/checkpoints/sd_lora/screw/checkpoint-1000/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
+++ b/checkpoints/sd_lora/screw/checkpoint-1000/adapter_config.json
@@ -0,0 +1,48 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/screw/checkpoint-1000/adapter_model.safetensors b/checkpoints/sd_lora/screw/checkpoint-1000/adapter_model.safetensors
new file mode 100644
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@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9ecef413b2e929a80b95058230184254a02ab4a365c496f94e030a7300dd91da
+size 8285640
diff --git a/checkpoints/sd_lora/screw/checkpoint-1500/README.md b/checkpoints/sd_lora/screw/checkpoint-1500/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..5e09672414386a3861dff632bcb7570dedbf01b6
--- /dev/null
+++ b/checkpoints/sd_lora/screw/checkpoint-1500/README.md
@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/screw/checkpoint-1500/adapter_config.json b/checkpoints/sd_lora/screw/checkpoint-1500/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
+++ b/checkpoints/sd_lora/screw/checkpoint-1500/adapter_config.json
@@ -0,0 +1,48 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/screw/checkpoint-1500/adapter_model.safetensors b/checkpoints/sd_lora/screw/checkpoint-1500/adapter_model.safetensors
new file mode 100644
index 0000000000000000000000000000000000000000..b12bfff78c7f2f5f161c9e231893a3f411af98d2
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+++ b/checkpoints/sd_lora/screw/checkpoint-1500/adapter_model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:372227c660e8dcbfc2ef86ee99c5fee293cb150d551a8df31c1bb3642c867c13
+size 8285640
diff --git a/checkpoints/sd_lora/screw/checkpoint-500/README.md b/checkpoints/sd_lora/screw/checkpoint-500/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..5e09672414386a3861dff632bcb7570dedbf01b6
--- /dev/null
+++ b/checkpoints/sd_lora/screw/checkpoint-500/README.md
@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/screw/checkpoint-500/adapter_config.json b/checkpoints/sd_lora/screw/checkpoint-500/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
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+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
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+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
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+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
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+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
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+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
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+{
+  "category": "screw",
+  "n_triplets": 118,
+  "total_steps": 1500,
+  "final_loss": 0.001636,
+  "best_loss": 0.000904,
+  "mean_loss_last_100": 0.094318,
+  "config": {
+    "rank": 8,
+    "alpha": 16,
+    "dropout": 0.05,
+    "target_modules": [
+      "to_q",
+      "to_k",
+      "to_v",
+      "to_out.0",
+      "proj_in",
+      "proj_out"
+    ],
+    "learning_rate": 0.0001,
+    "weight_decay": 0.01,
+    "max_steps_per_category": 1500,
+    "min_steps_per_category": 400,
+    "steps_per_sample": 15,
+    "batch_size": 1,
+    "grad_accum": 4,
+    "warmup_ratio": 0.1,
+    "save_every": 500,
+    "resolution": 512,
+    "mixed_precision": true
+  },
+  "base_model": "sd2-community/stable-diffusion-2-inpainting",
+  "timestamp": "2026-04-09T07:07:11.137824"
+}
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diff --git a/checkpoints/sd_lora/tile/.done b/checkpoints/sd_lora/tile/.done
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diff --git a/checkpoints/sd_lora/tile/README.md b/checkpoints/sd_lora/tile/README.md
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@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/tile/adapter_config.json b/checkpoints/sd_lora/tile/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
+++ b/checkpoints/sd_lora/tile/adapter_config.json
@@ -0,0 +1,48 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/tile/adapter_model.safetensors b/checkpoints/sd_lora/tile/adapter_model.safetensors
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+version https://git-lfs.github.com/spec/v1
+oid sha256:48d187d0ee1a66383f0dd0a20b0ab8c98cea2ebcae5b440bb1eea2e1025487fd
+size 8285640
diff --git a/checkpoints/sd_lora/tile/checkpoint-1000/README.md b/checkpoints/sd_lora/tile/checkpoint-1000/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..5e09672414386a3861dff632bcb7570dedbf01b6
--- /dev/null
+++ b/checkpoints/sd_lora/tile/checkpoint-1000/README.md
@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/tile/checkpoint-1000/adapter_config.json b/checkpoints/sd_lora/tile/checkpoint-1000/adapter_config.json
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+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
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+  "ensure_weight_tying": false,
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+  "init_lora_weights": "gaussian",
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+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
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+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
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+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
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+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
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+oid sha256:ff9dba2ef5a87f788ae0b65b6d7b611605bc4968655b1a9f6e065ec8d9aae36b
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@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/tile/checkpoint-500/adapter_config.json b/checkpoints/sd_lora/tile/checkpoint-500/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
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+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
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+oid sha256:6741b2082eca479e329d1e35aa24d01d115036725be2c812110ebf47585e0df2
+size 8285640
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+size 10208
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@@ -0,0 +1,34 @@
+{
+  "category": "tile",
+  "n_triplets": 84,
+  "total_steps": 1260,
+  "final_loss": 0.0121,
+  "best_loss": 0.00184,
+  "mean_loss_last_100": 0.204293,
+  "config": {
+    "rank": 8,
+    "alpha": 16,
+    "dropout": 0.05,
+    "target_modules": [
+      "to_q",
+      "to_k",
+      "to_v",
+      "to_out.0",
+      "proj_in",
+      "proj_out"
+    ],
+    "learning_rate": 0.0001,
+    "weight_decay": 0.01,
+    "max_steps_per_category": 1500,
+    "min_steps_per_category": 400,
+    "steps_per_sample": 15,
+    "batch_size": 1,
+    "grad_accum": 4,
+    "warmup_ratio": 0.1,
+    "save_every": 500,
+    "resolution": 512,
+    "mixed_precision": true
+  },
+  "base_model": "sd2-community/stable-diffusion-2-inpainting",
+  "timestamp": "2026-04-09T07:09:58.146334"
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/toothbrush/.done b/checkpoints/sd_lora/toothbrush/.done
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@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/toothbrush/adapter_config.json b/checkpoints/sd_lora/toothbrush/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
+++ b/checkpoints/sd_lora/toothbrush/adapter_config.json
@@ -0,0 +1,48 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
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+version https://git-lfs.github.com/spec/v1
+oid sha256:ed7db1b1c8fa9c94f424c524a8f257cb9329c39660e89a924ff73d3cfdfccefc
+size 8285640
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+{
+  "category": "toothbrush",
+  "n_triplets": 30,
+  "total_steps": 450,
+  "final_loss": 0.331739,
+  "best_loss": 0.000693,
+  "mean_loss_last_100": 0.136986,
+  "config": {
+    "rank": 8,
+    "alpha": 16,
+    "dropout": 0.05,
+    "target_modules": [
+      "to_q",
+      "to_k",
+      "to_v",
+      "to_out.0",
+      "proj_in",
+      "proj_out"
+    ],
+    "learning_rate": 0.0001,
+    "weight_decay": 0.01,
+    "max_steps_per_category": 1500,
+    "min_steps_per_category": 400,
+    "steps_per_sample": 15,
+    "batch_size": 1,
+    "grad_accum": 4,
+    "warmup_ratio": 0.1,
+    "save_every": 500,
+    "resolution": 512,
+    "mixed_precision": true
+  },
+  "base_model": "sd2-community/stable-diffusion-2-inpainting",
+  "timestamp": "2026-04-09T07:11:03.366558"
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/training_report.json b/checkpoints/sd_lora/training_report.json
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+{
+  "bottle": "trained",
+  "cable": "trained",
+  "capsule": "trained",
+  "carpet": "trained",
+  "grid": "trained",
+  "hazelnut": "trained",
+  "leather": "trained",
+  "metal_nut": "trained",
+  "pill": "trained",
+  "screw": "trained",
+  "tile": "trained",
+  "toothbrush": "trained",
+  "transistor": "trained",
+  "wood": "trained",
+  "zipper": "trained"
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/transistor/.done b/checkpoints/sd_lora/transistor/.done
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diff --git a/checkpoints/sd_lora/transistor/README.md b/checkpoints/sd_lora/transistor/README.md
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+++ b/checkpoints/sd_lora/transistor/README.md
@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/transistor/adapter_config.json b/checkpoints/sd_lora/transistor/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
+++ b/checkpoints/sd_lora/transistor/adapter_config.json
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+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
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+version https://git-lfs.github.com/spec/v1
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diff --git a/checkpoints/sd_lora/transistor/checkpoint-500/README.md b/checkpoints/sd_lora/transistor/checkpoint-500/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..5e09672414386a3861dff632bcb7570dedbf01b6
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@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/transistor/checkpoint-500/adapter_config.json b/checkpoints/sd_lora/transistor/checkpoint-500/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
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+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
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+oid sha256:00779a60d68c306c9bec1247f58d18c0b94ab2f9562674c8516437d3e29b59e9
+size 8285640
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+oid sha256:e759a52465f4f84333f9003e820b5c1958aef1f4445009357f6f57f79a21ef4e
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diff --git a/checkpoints/sd_lora/transistor/training_meta.json b/checkpoints/sd_lora/transistor/training_meta.json
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@@ -0,0 +1,34 @@
+{
+  "category": "transistor",
+  "n_triplets": 40,
+  "total_steps": 600,
+  "final_loss": 0.060955,
+  "best_loss": 0.001744,
+  "mean_loss_last_100": 0.126456,
+  "config": {
+    "rank": 8,
+    "alpha": 16,
+    "dropout": 0.05,
+    "target_modules": [
+      "to_q",
+      "to_k",
+      "to_v",
+      "to_out.0",
+      "proj_in",
+      "proj_out"
+    ],
+    "learning_rate": 0.0001,
+    "weight_decay": 0.01,
+    "max_steps_per_category": 1500,
+    "min_steps_per_category": 400,
+    "steps_per_sample": 15,
+    "batch_size": 1,
+    "grad_accum": 4,
+    "warmup_ratio": 0.1,
+    "save_every": 500,
+    "resolution": 512,
+    "mixed_precision": true
+  },
+  "base_model": "sd2-community/stable-diffusion-2-inpainting",
+  "timestamp": "2026-04-09T07:12:27.096275"
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/wood/.done b/checkpoints/sd_lora/wood/.done
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diff --git a/checkpoints/sd_lora/wood/README.md b/checkpoints/sd_lora/wood/README.md
new file mode 100644
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+++ b/checkpoints/sd_lora/wood/README.md
@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
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+  "alpha_pattern": {},
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+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
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+  "bias": "none",
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+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
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+    "to_k"
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+  "use_rslora": false
+}
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@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/wood/checkpoint-500/adapter_config.json b/checkpoints/sd_lora/wood/checkpoint-500/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
+++ b/checkpoints/sd_lora/wood/checkpoint-500/adapter_config.json
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+{
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+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
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+oid sha256:787160910500e792014e3eadcc427b2cf01fe6e0580330a5d19c590ae5951e95
+size 8285640
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+oid sha256:39e956a7ee982e928c090f76183f38d18a98cf89c565655e26ebc9fd070d82fd
+size 7328
diff --git a/checkpoints/sd_lora/wood/training_meta.json b/checkpoints/sd_lora/wood/training_meta.json
new file mode 100644
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+++ b/checkpoints/sd_lora/wood/training_meta.json
@@ -0,0 +1,34 @@
+{
+  "category": "wood",
+  "n_triplets": 60,
+  "total_steps": 900,
+  "final_loss": 0.018239,
+  "best_loss": 0.001712,
+  "mean_loss_last_100": 0.167811,
+  "config": {
+    "rank": 8,
+    "alpha": 16,
+    "dropout": 0.05,
+    "target_modules": [
+      "to_q",
+      "to_k",
+      "to_v",
+      "to_out.0",
+      "proj_in",
+      "proj_out"
+    ],
+    "learning_rate": 0.0001,
+    "weight_decay": 0.01,
+    "max_steps_per_category": 1500,
+    "min_steps_per_category": 400,
+    "steps_per_sample": 15,
+    "batch_size": 1,
+    "grad_accum": 4,
+    "warmup_ratio": 0.1,
+    "save_every": 500,
+    "resolution": 512,
+    "mixed_precision": true
+  },
+  "base_model": "sd2-community/stable-diffusion-2-inpainting",
+  "timestamp": "2026-04-09T07:14:30.341403"
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/zipper/.done b/checkpoints/sd_lora/zipper/.done
new file mode 100644
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diff --git a/checkpoints/sd_lora/zipper/README.md b/checkpoints/sd_lora/zipper/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..5e09672414386a3861dff632bcb7570dedbf01b6
--- /dev/null
+++ b/checkpoints/sd_lora/zipper/README.md
@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/zipper/adapter_config.json b/checkpoints/sd_lora/zipper/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
+++ b/checkpoints/sd_lora/zipper/adapter_config.json
@@ -0,0 +1,48 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/zipper/adapter_model.safetensors b/checkpoints/sd_lora/zipper/adapter_model.safetensors
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+version https://git-lfs.github.com/spec/v1
+oid sha256:c68d70cbc3a687818c6940a83ba216ab4d19a00a8ff825c9ddfe42169e001634
+size 8285640
diff --git a/checkpoints/sd_lora/zipper/checkpoint-1000/README.md b/checkpoints/sd_lora/zipper/checkpoint-1000/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..5e09672414386a3861dff632bcb7570dedbf01b6
--- /dev/null
+++ b/checkpoints/sd_lora/zipper/checkpoint-1000/README.md
@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/zipper/checkpoint-1000/adapter_config.json b/checkpoints/sd_lora/zipper/checkpoint-1000/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
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@@ -0,0 +1,48 @@
+{
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+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
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+  "bias": "none",
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+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
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+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
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+  "qalora_group_size": 16,
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+  "revision": null,
+  "target_modules": [
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+    "to_v",
+    "to_q",
+    "proj_in",
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+  ],
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+  "task_type": null,
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+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
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+version https://git-lfs.github.com/spec/v1
+oid sha256:203f375f6861153074cc460ff207aaa1abe93e84fbe44356989d1e0bbeb4e571
+size 8285640
diff --git a/checkpoints/sd_lora/zipper/checkpoint-1500/README.md b/checkpoints/sd_lora/zipper/checkpoint-1500/README.md
new file mode 100644
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--- /dev/null
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@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/zipper/checkpoint-1500/adapter_config.json b/checkpoints/sd_lora/zipper/checkpoint-1500/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..07e1486cd330d95b6a1f0cb51163d25f933a47ac
--- /dev/null
+++ b/checkpoints/sd_lora/zipper/checkpoint-1500/adapter_config.json
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+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
+  "target_parameters": null,
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
diff --git a/checkpoints/sd_lora/zipper/checkpoint-1500/adapter_model.safetensors b/checkpoints/sd_lora/zipper/checkpoint-1500/adapter_model.safetensors
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+version https://git-lfs.github.com/spec/v1
+oid sha256:c68d70cbc3a687818c6940a83ba216ab4d19a00a8ff825c9ddfe42169e001634
+size 8285640
diff --git a/checkpoints/sd_lora/zipper/checkpoint-500/README.md b/checkpoints/sd_lora/zipper/checkpoint-500/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..5e09672414386a3861dff632bcb7570dedbf01b6
--- /dev/null
+++ b/checkpoints/sd_lora/zipper/checkpoint-500/README.md
@@ -0,0 +1,204 @@
+---
+base_model: sd2-community/stable-diffusion-2-inpainting
+library_name: peft
+tags:
+- lora
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.1
\ No newline at end of file
diff --git a/checkpoints/sd_lora/zipper/checkpoint-500/adapter_config.json b/checkpoints/sd_lora/zipper/checkpoint-500/adapter_config.json
new file mode 100644
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+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "UNet2DConditionModel",
+    "parent_library": "diffusers.models.unets.unet_2d_condition"
+  },
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
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+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "proj_out",
+    "to_v",
+    "to_q",
+    "proj_in",
+    "to_out.0",
+    "to_k"
+  ],
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+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}
\ No newline at end of file
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+oid sha256:02d9559893f046103614c0dc2b171afd14d78da4fc97de983e97d523864c06a9
+size 8285640
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+{
+  "category": "zipper",
+  "n_triplets": 119,
+  "total_steps": 1500,
+  "final_loss": 0.022756,
+  "best_loss": 0.001325,
+  "mean_loss_last_100": 0.099424,
+  "config": {
+    "rank": 8,
+    "alpha": 16,
+    "dropout": 0.05,
+    "target_modules": [
+      "to_q",
+      "to_k",
+      "to_v",
+      "to_out.0",
+      "proj_in",
+      "proj_out"
+    ],
+    "learning_rate": 0.0001,
+    "weight_decay": 0.01,
+    "max_steps_per_category": 1500,
+    "min_steps_per_category": 400,
+    "steps_per_sample": 15,
+    "batch_size": 1,
+    "grad_accum": 4,
+    "warmup_ratio": 0.1,
+    "save_every": 500,
+    "resolution": 512,
+    "mixed_precision": true
+  },
+  "base_model": "sd2-community/stable-diffusion-2-inpainting",
+  "timestamp": "2026-04-09T07:17:43.904032"
+}
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+++ b/configs/defect_taxonomy.json
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+{
+  "mvtec_ad": {
+    "bottle": {
+      "material": "glass",
+      "process": "glass molding and filling",
+      "defects": {
+        "broken_large": {
+          "mechanism": "thermal_shock",
+          "visual": "large crack or missing chunk",
+          "severity": "critical"
+        },
+        "broken_small": {
+          "mechanism": "mechanical_impact",
+          "visual": "small chip or hairline crack",
+          "severity": "moderate"
+        },
+        "contamination": {
+          "mechanism": "foreign_material",
+          "visual": "dark spots or particles on surface",
+          "severity": "minor"
+        }
+      }
+    },
+    "cable": {
+      "material": "copper_wire_pvc_insulation",
+      "process": "wire extrusion and assembly",
+      "defects": {
+        "bent_wire": {
+          "mechanism": "mechanical_stress",
+          "visual": "wire bent at abnormal angle",
+          "severity": "moderate"
+        },
+        "cable_swap": {
+          "mechanism": "assembly_error",
+          "visual": "cables in wrong positions",
+          "severity": "critical"
+        },
+        "cut_inner_insulation": {
+          "mechanism": "tool_damage",
+          "visual": "cut through inner insulation layer",
+          "severity": "critical"
+        },
+        "cut_outer_insulation": {
+          "mechanism": "tool_damage",
+          "visual": "cut through outer insulation",
+          "severity": "moderate"
+        },
+        "missing_cable": {
+          "mechanism": "assembly_omission",
+          "visual": "cable absent from expected position",
+          "severity": "critical"
+        },
+        "missing_wire": {
+          "mechanism": "assembly_omission",
+          "visual": "individual wire missing",
+          "severity": "critical"
+        },
+        "poke_insulation": {
+          "mechanism": "puncture",
+          "visual": "small hole in insulation",
+          "severity": "moderate"
+        }
+      }
+    },
+    "capsule": {
+      "material": "gelatin",
+      "process": "capsule filling and sealing",
+      "defects": {
+        "crack": {
+          "mechanism": "drying_stress",
+          "visual": "linear crack on capsule surface",
+          "severity": "critical"
+        },
+        "faulty_imprint": {
+          "mechanism": "printing_error",
+          "visual": "missing or distorted text imprint",
+          "severity": "minor"
+        },
+        "poke": {
+          "mechanism": "mechanical_puncture",
+          "visual": "small hole in capsule wall",
+          "severity": "critical"
+        },
+        "scratch": {
+          "mechanism": "surface_abrasion",
+          "visual": "linear surface mark",
+          "severity": "minor"
+        },
+        "squeeze": {
+          "mechanism": "compression",
+          "visual": "deformed capsule shape",
+          "severity": "moderate"
+        }
+      }
+    },
+    "carpet": {
+      "material": "textile_fiber",
+      "process": "weaving and dyeing",
+      "defects": {
+        "color": {
+          "mechanism": "dye_inconsistency",
+          "visual": "color variation or staining",
+          "severity": "minor"
+        },
+        "cut": {
+          "mechanism": "mechanical_cut",
+          "visual": "cut fibers",
+          "severity": "moderate"
+        },
+        "hole": {
+          "mechanism": "fiber_loss",
+          "visual": "missing fiber area",
+          "severity": "critical"
+        },
+        "metal_contamination": {
+          "mechanism": "foreign_material",
+          "visual": "metallic particle embedded",
+          "severity": "moderate"
+        },
+        "thread": {
+          "mechanism": "weaving_fault",
+          "visual": "loose or misaligned thread",
+          "severity": "minor"
+        }
+      }
+    },
+    "grid": {
+      "material": "metal",
+      "process": "stamping or etching",
+      "defects": {
+        "bent": {
+          "mechanism": "mechanical_deformation",
+          "visual": "bent grid element",
+          "severity": "moderate"
+        },
+        "broken": {
+          "mechanism": "fracture",
+          "visual": "broken grid connection",
+          "severity": "critical"
+        },
+        "glue": {
+          "mechanism": "adhesive_contamination",
+          "visual": "excess glue on surface",
+          "severity": "minor"
+        },
+        "metal_contamination": {
+          "mechanism": "foreign_material",
+          "visual": "foreign metal particle",
+          "severity": "moderate"
+        },
+        "thread": {
+          "mechanism": "threading_fault",
+          "visual": "loose thread or fiber",
+          "severity": "minor"
+        }
+      }
+    },
+    "hazelnut": {
+      "material": "organic_nut",
+      "process": "sorting and roasting",
+      "defects": {
+        "crack": {
+          "mechanism": "thermal_stress",
+          "visual": "crack in shell",
+          "severity": "moderate"
+        },
+        "cut": {
+          "mechanism": "mechanical_damage",
+          "visual": "cut mark on surface",
+          "severity": "moderate"
+        },
+        "hole": {
+          "mechanism": "insect_damage",
+          "visual": "hole in shell",
+          "severity": "critical"
+        },
+        "print": {
+          "mechanism": "surface_marking",
+          "visual": "printed mark or stain",
+          "severity": "minor"
+        }
+      }
+    },
+    "leather": {
+      "material": "animal_hide",
+      "process": "tanning and finishing",
+      "defects": {
+        "color": {
+          "mechanism": "dye_fault",
+          "visual": "color inconsistency",
+          "severity": "minor"
+        },
+        "cut": {
+          "mechanism": "mechanical_cut",
+          "visual": "cut in leather surface",
+          "severity": "critical"
+        },
+        "fold": {
+          "mechanism": "handling_damage",
+          "visual": "crease or fold mark",
+          "severity": "moderate"
+        },
+        "glue": {
+          "mechanism": "adhesive_contamination",
+          "visual": "glue residue on surface",
+          "severity": "minor"
+        },
+        "poke": {
+          "mechanism": "puncture",
+          "visual": "small hole or puncture",
+          "severity": "moderate"
+        }
+      }
+    },
+    "metal_nut": {
+      "material": "steel",
+      "process": "cold heading and threading",
+      "defects": {
+        "bent": {
+          "mechanism": "mechanical_deformation",
+          "visual": "deformed nut shape",
+          "severity": "critical"
+        },
+        "color": {
+          "mechanism": "heat_treatment_fault",
+          "visual": "discoloration on surface",
+          "severity": "minor"
+        },
+        "flip": {
+          "mechanism": "orientation_error",
+          "visual": "nut flipped upside down",
+          "severity": "critical"
+        },
+        "scratch": {
+          "mechanism": "tool_wear",
+          "visual": "linear scratch marks",
+          "severity": "moderate"
+        }
+      }
+    },
+    "pill": {
+      "material": "compressed_powder",
+      "process": "tablet compression and coating",
+      "defects": {
+        "color": {
+          "mechanism": "coating_fault",
+          "visual": "color deviation",
+          "severity": "minor"
+        },
+        "combined": {
+          "mechanism": "multiple_faults",
+          "visual": "multiple defect types present",
+          "severity": "critical"
+        },
+        "contamination": {
+          "mechanism": "foreign_material",
+          "visual": "particle on surface",
+          "severity": "critical"
+        },
+        "crack": {
+          "mechanism": "compression_fault",
+          "visual": "crack in tablet",
+          "severity": "critical"
+        },
+        "faulty_imprint": {
+          "mechanism": "stamping_error",
+          "visual": "missing or blurred imprint",
+          "severity": "moderate"
+        },
+        "pill_type": {
+          "mechanism": "sorting_error",
+          "visual": "wrong pill type",
+          "severity": "critical"
+        },
+        "scratch": {
+          "mechanism": "surface_abrasion",
+          "visual": "scratch on coating",
+          "severity": "minor"
+        }
+      }
+    },
+    "screw": {
+      "material": "steel",
+      "process": "cold heading and thread rolling",
+      "defects": {
+        "manipulated_front": {
+          "mechanism": "intentional_damage",
+          "visual": "damaged screw head front",
+          "severity": "critical"
+        },
+        "scratch_head": {
+          "mechanism": "tool_wear",
+          "visual": "scratch on screw head",
+          "severity": "moderate"
+        },
+        "scratch_neck": {
+          "mechanism": "tool_wear",
+          "visual": "scratch on screw neck",
+          "severity": "moderate"
+        },
+        "thread_side": {
+          "mechanism": "forming_defect",
+          "visual": "thread damage on side",
+          "severity": "critical"
+        },
+        "thread_top": {
+          "mechanism": "forming_defect",
+          "visual": "thread damage on top",
+          "severity": "critical"
+        }
+      }
+    },
+    "tile": {
+      "material": "ceramic",
+      "process": "pressing and kiln firing",
+      "defects": {
+        "crack": {
+          "mechanism": "thermal_stress",
+          "visual": "crack in tile surface",
+          "severity": "critical"
+        },
+        "glue_strip": {
+          "mechanism": "adhesive_contamination",
+          "visual": "glue strip on surface",
+          "severity": "minor"
+        },
+        "gray_stroke": {
+          "mechanism": "glaze_fault",
+          "visual": "gray discoloration stroke",
+          "severity": "moderate"
+        },
+        "oil": {
+          "mechanism": "contamination",
+          "visual": "oil stain on surface",
+          "severity": "moderate"
+        },
+        "rough": {
+          "mechanism": "surface_fault",
+          "visual": "rough texture area",
+          "severity": "minor"
+        }
+      }
+    },
+    "toothbrush": {
+      "material": "plastic_nylon",
+      "process": "injection molding and tufting",
+      "defects": {
+        "defective": {
+          "mechanism": "molding_or_tufting_fault",
+          "visual": "visible manufacturing defect",
+          "severity": "moderate"
+        }
+      }
+    },
+    "transistor": {
+      "material": "silicon_epoxy_metal_leads",
+      "process": "semiconductor packaging",
+      "defects": {
+        "bent_lead": {
+          "mechanism": "handling_damage",
+          "visual": "bent component lead",
+          "severity": "critical"
+        },
+        "cut_lead": {
+          "mechanism": "trimming_error",
+          "visual": "lead cut too short",
+          "severity": "critical"
+        },
+        "damaged_case": {
+          "mechanism": "mechanical_damage",
+          "visual": "cracked or chipped case",
+          "severity": "critical"
+        },
+        "misplaced": {
+          "mechanism": "placement_error",
+          "visual": "component in wrong position",
+          "severity": "critical"
+        }
+      }
+    },
+    "wood": {
+      "material": "natural_wood",
+      "process": "sawing and surface finishing",
+      "defects": {
+        "color": {
+          "mechanism": "staining_or_fungal",
+          "visual": "color variation or stain",
+          "severity": "minor"
+        },
+        "combined": {
+          "mechanism": "multiple_faults",
+          "visual": "multiple defect types",
+          "severity": "critical"
+        },
+        "hole": {
+          "mechanism": "knot_or_insect",
+          "visual": "hole in wood surface",
+          "severity": "moderate"
+        },
+        "liquid": {
+          "mechanism": "spill_contamination",
+          "visual": "liquid stain",
+          "severity": "moderate"
+        },
+        "scratch": {
+          "mechanism": "surface_abrasion",
+          "visual": "scratch mark on surface",
+          "severity": "minor"
+        }
+      }
+    },
+    "zipper": {
+      "material": "metal_teeth_fabric_tape",
+      "process": "teeth stamping and tape assembly",
+      "defects": {
+        "broken_teeth": {
+          "mechanism": "stamping_fault",
+          "visual": "missing or broken teeth",
+          "severity": "critical"
+        },
+        "combined": {
+          "mechanism": "multiple_faults",
+          "visual": "multiple defect types",
+          "severity": "critical"
+        },
+        "fabric_border": {
+          "mechanism": "sewing_fault",
+          "visual": "fabric edge defect",
+          "severity": "moderate"
+        },
+        "fabric_interior": {
+          "mechanism": "weaving_fault",
+          "visual": "fabric interior defect",
+          "severity": "moderate"
+        },
+        "split_teeth": {
+          "mechanism": "alignment_fault",
+          "visual": "teeth separated from tape",
+          "severity": "critical"
+        },
+        "squeezed_teeth": {
+          "mechanism": "compression_damage",
+          "visual": "teeth compressed together",
+          "severity": "moderate"
+        }
+      }
+    }
+  }
+}
\ No newline at end of file
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--- /dev/null
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+Attribution-NonCommercial-ShareAlike 4.0 International
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+Section 6 -- Term and Termination.
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diff --git a/datasets/mvtec_ad/bottle/readme.txt b/datasets/mvtec_ad/bottle/readme.txt
new file mode 100644
index 0000000000000000000000000000000000000000..14ad2c0fd619a88a94d7cb616ff0aa7c056a35bf
--- /dev/null
+++ b/datasets/mvtec_ad/bottle/readme.txt
@@ -0,0 +1,28 @@
+Attribution
+-----------
+If you use the dataset in scientific work, please cite:
+
+Paul Bergmann, Michael Fauser, David Sattlegger, and Carsten Steger,
+"A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection",
+IEEE Conference on Computer Vision and Pattern Recognition, 2019
+
+
+License
+-------
+Copyright 2019 MVTec Software GmbH
+
+This work is licensed under a Creative Commons 
+Attribution-NonCommercial-ShareAlike 4.0 International License.
+
+You should have received a copy of the license along with this work.
+If not, see <http://creativecommons.org/licenses/by-nc-sa/4.0/>.
+
+For using the data in a way that falls under the commercial use clause
+of the license, please contact us.
+
+
+Contact
+-------
+If you have any questions or comments about the dataset, feel free to
+contact us via: paul.bergmann@mvtec.com, fauser@mvtec.com,
+sattlegger@mvtec.com, steger@mvtec.com
\ No newline at end of file
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diff --git a/datasets/mvtec_ad/cable/readme.txt b/datasets/mvtec_ad/cable/readme.txt
new file mode 100644
index 0000000000000000000000000000000000000000..14ad2c0fd619a88a94d7cb616ff0aa7c056a35bf
--- /dev/null
+++ b/datasets/mvtec_ad/cable/readme.txt
@@ -0,0 +1,28 @@
+Attribution
+-----------
+If you use the dataset in scientific work, please cite:
+
+Paul Bergmann, Michael Fauser, David Sattlegger, and Carsten Steger,
+"A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection",
+IEEE Conference on Computer Vision and Pattern Recognition, 2019
+
+
+License
+-------
+Copyright 2019 MVTec Software GmbH
+
+This work is licensed under a Creative Commons 
+Attribution-NonCommercial-ShareAlike 4.0 International License.
+
+You should have received a copy of the license along with this work.
+If not, see <http://creativecommons.org/licenses/by-nc-sa/4.0/>.
+
+For using the data in a way that falls under the commercial use clause
+of the license, please contact us.
+
+
+Contact
+-------
+If you have any questions or comments about the dataset, feel free to
+contact us via: paul.bergmann@mvtec.com, fauser@mvtec.com,
+sattlegger@mvtec.com, steger@mvtec.com
\ No newline at end of file
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--- /dev/null
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+Attribution-NonCommercial-ShareAlike 4.0 International
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+Section 6 -- Term and Termination.
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+  d. Sections 1, 5, 6, 7, and 8 survive termination of this Public
+     License.
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+Section 7 -- Other Terms and Conditions.
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+     Licensed Material not stated herein are separate from and
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+Section 8 -- Interpretation.
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+     conditions.
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+     failure to comply consented to unless expressly agreed to by the
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+     as a limitation upon, or waiver of, any privileges and immunities
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+=======================================================================
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diff --git a/datasets/mvtec_ad/capsule/readme.txt b/datasets/mvtec_ad/capsule/readme.txt
new file mode 100644
index 0000000000000000000000000000000000000000..14ad2c0fd619a88a94d7cb616ff0aa7c056a35bf
--- /dev/null
+++ b/datasets/mvtec_ad/capsule/readme.txt
@@ -0,0 +1,28 @@
+Attribution
+-----------
+If you use the dataset in scientific work, please cite:
+
+Paul Bergmann, Michael Fauser, David Sattlegger, and Carsten Steger,
+"A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection",
+IEEE Conference on Computer Vision and Pattern Recognition, 2019
+
+
+License
+-------
+Copyright 2019 MVTec Software GmbH
+
+This work is licensed under a Creative Commons 
+Attribution-NonCommercial-ShareAlike 4.0 International License.
+
+You should have received a copy of the license along with this work.
+If not, see <http://creativecommons.org/licenses/by-nc-sa/4.0/>.
+
+For using the data in a way that falls under the commercial use clause
+of the license, please contact us.
+
+
+Contact
+-------
+If you have any questions or comments about the dataset, feel free to
+contact us via: paul.bergmann@mvtec.com, fauser@mvtec.com,
+sattlegger@mvtec.com, steger@mvtec.com
\ No newline at end of file
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diff --git a/datasets/mvtec_ad/carpet/readme.txt b/datasets/mvtec_ad/carpet/readme.txt
new file mode 100644
index 0000000000000000000000000000000000000000..14ad2c0fd619a88a94d7cb616ff0aa7c056a35bf
--- /dev/null
+++ b/datasets/mvtec_ad/carpet/readme.txt
@@ -0,0 +1,28 @@
+Attribution
+-----------
+If you use the dataset in scientific work, please cite:
+
+Paul Bergmann, Michael Fauser, David Sattlegger, and Carsten Steger,
+"A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection",
+IEEE Conference on Computer Vision and Pattern Recognition, 2019
+
+
+License
+-------
+Copyright 2019 MVTec Software GmbH
+
+This work is licensed under a Creative Commons 
+Attribution-NonCommercial-ShareAlike 4.0 International License.
+
+You should have received a copy of the license along with this work.
+If not, see <http://creativecommons.org/licenses/by-nc-sa/4.0/>.
+
+For using the data in a way that falls under the commercial use clause
+of the license, please contact us.
+
+
+Contact
+-------
+If you have any questions or comments about the dataset, feel free to
+contact us via: paul.bergmann@mvtec.com, fauser@mvtec.com,
+sattlegger@mvtec.com, steger@mvtec.com
\ No newline at end of file
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--- /dev/null
+++ b/datasets/mvtec_ad/grid/license.txt
@@ -0,0 +1,438 @@
+Attribution-NonCommercial-ShareAlike 4.0 International
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+its public licenses to material it publishes and in those instances
+will be considered the “Licensor.” The text of the Creative Commons
+public licenses is dedicated to the public domain under the CC0 Public
+Domain Dedication. Except for the limited purpose of indicating that
+material is shared under a Creative Commons public license or as
+otherwise permitted by the Creative Commons policies published at
+creativecommons.org/policies, Creative Commons does not authorize the
+use of the trademark "Creative Commons" or any other trademark or logo
+of Creative Commons without its prior written consent including,
+without limitation, in connection with any unauthorized modifications
+to any of its public licenses or any other arrangements,
+understandings, or agreements concerning use of licensed material. For
+the avoidance of doubt, this paragraph does not form part of the
+public licenses.
+
+Creative Commons may be contacted at creativecommons.org.
+
diff --git a/datasets/mvtec_ad/grid/readme.txt b/datasets/mvtec_ad/grid/readme.txt
new file mode 100644
index 0000000000000000000000000000000000000000..14ad2c0fd619a88a94d7cb616ff0aa7c056a35bf
--- /dev/null
+++ b/datasets/mvtec_ad/grid/readme.txt
@@ -0,0 +1,28 @@
+Attribution
+-----------
+If you use the dataset in scientific work, please cite:
+
+Paul Bergmann, Michael Fauser, David Sattlegger, and Carsten Steger,
+"A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection",
+IEEE Conference on Computer Vision and Pattern Recognition, 2019
+
+
+License
+-------
+Copyright 2019 MVTec Software GmbH
+
+This work is licensed under a Creative Commons 
+Attribution-NonCommercial-ShareAlike 4.0 International License.
+
+You should have received a copy of the license along with this work.
+If not, see <http://creativecommons.org/licenses/by-nc-sa/4.0/>.
+
+For using the data in a way that falls under the commercial use clause
+of the license, please contact us.
+
+
+Contact
+-------
+If you have any questions or comments about the dataset, feel free to
+contact us via: paul.bergmann@mvtec.com, fauser@mvtec.com,
+sattlegger@mvtec.com, steger@mvtec.com
\ No newline at end of file
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+creativecommons.org/policies, Creative Commons does not authorize the
+use of the trademark "Creative Commons" or any other trademark or logo
+of Creative Commons without its prior written consent including,
+without limitation, in connection with any unauthorized modifications
+to any of its public licenses or any other arrangements,
+understandings, or agreements concerning use of licensed material. For
+the avoidance of doubt, this paragraph does not form part of the
+public licenses.
+
+Creative Commons may be contacted at creativecommons.org.
+
diff --git a/datasets/mvtec_ad/hazelnut/readme.txt b/datasets/mvtec_ad/hazelnut/readme.txt
new file mode 100644
index 0000000000000000000000000000000000000000..14ad2c0fd619a88a94d7cb616ff0aa7c056a35bf
--- /dev/null
+++ b/datasets/mvtec_ad/hazelnut/readme.txt
@@ -0,0 +1,28 @@
+Attribution
+-----------
+If you use the dataset in scientific work, please cite:
+
+Paul Bergmann, Michael Fauser, David Sattlegger, and Carsten Steger,
+"A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection",
+IEEE Conference on Computer Vision and Pattern Recognition, 2019
+
+
+License
+-------
+Copyright 2019 MVTec Software GmbH
+
+This work is licensed under a Creative Commons 
+Attribution-NonCommercial-ShareAlike 4.0 International License.
+
+You should have received a copy of the license along with this work.
+If not, see <http://creativecommons.org/licenses/by-nc-sa/4.0/>.
+
+For using the data in a way that falls under the commercial use clause
+of the license, please contact us.
+
+
+Contact
+-------
+If you have any questions or comments about the dataset, feel free to
+contact us via: paul.bergmann@mvtec.com, fauser@mvtec.com,
+sattlegger@mvtec.com, steger@mvtec.com
\ No newline at end of file
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+=======================================================================
+
+Creative Commons Corporation ("Creative Commons") is not a law firm and
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diff --git a/datasets/mvtec_ad/leather/readme.txt b/datasets/mvtec_ad/leather/readme.txt
new file mode 100644
index 0000000000000000000000000000000000000000..14ad2c0fd619a88a94d7cb616ff0aa7c056a35bf
--- /dev/null
+++ b/datasets/mvtec_ad/leather/readme.txt
@@ -0,0 +1,28 @@
+Attribution
+-----------
+If you use the dataset in scientific work, please cite:
+
+Paul Bergmann, Michael Fauser, David Sattlegger, and Carsten Steger,
+"A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection",
+IEEE Conference on Computer Vision and Pattern Recognition, 2019
+
+
+License
+-------
+Copyright 2019 MVTec Software GmbH
+
+This work is licensed under a Creative Commons 
+Attribution-NonCommercial-ShareAlike 4.0 International License.
+
+You should have received a copy of the license along with this work.
+If not, see <http://creativecommons.org/licenses/by-nc-sa/4.0/>.
+
+For using the data in a way that falls under the commercial use clause
+of the license, please contact us.
+
+
+Contact
+-------
+If you have any questions or comments about the dataset, feel free to
+contact us via: paul.bergmann@mvtec.com, fauser@mvtec.com,
+sattlegger@mvtec.com, steger@mvtec.com
\ No newline at end of file
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+Attribution-NonCommercial-ShareAlike 4.0 International
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+Attribution-NonCommercial-ShareAlike 4.0 International
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diff --git a/datasets/mvtec_ad/metal_nut/readme.txt b/datasets/mvtec_ad/metal_nut/readme.txt
new file mode 100644
index 0000000000000000000000000000000000000000..14ad2c0fd619a88a94d7cb616ff0aa7c056a35bf
--- /dev/null
+++ b/datasets/mvtec_ad/metal_nut/readme.txt
@@ -0,0 +1,28 @@
+Attribution
+-----------
+If you use the dataset in scientific work, please cite:
+
+Paul Bergmann, Michael Fauser, David Sattlegger, and Carsten Steger,
+"A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection",
+IEEE Conference on Computer Vision and Pattern Recognition, 2019
+
+
+License
+-------
+Copyright 2019 MVTec Software GmbH
+
+This work is licensed under a Creative Commons 
+Attribution-NonCommercial-ShareAlike 4.0 International License.
+
+You should have received a copy of the license along with this work.
+If not, see <http://creativecommons.org/licenses/by-nc-sa/4.0/>.
+
+For using the data in a way that falls under the commercial use clause
+of the license, please contact us.
+
+
+Contact
+-------
+If you have any questions or comments about the dataset, feel free to
+contact us via: paul.bergmann@mvtec.com, fauser@mvtec.com,
+sattlegger@mvtec.com, steger@mvtec.com
\ No newline at end of file
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+
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diff --git a/datasets/mvtec_ad/pill/readme.txt b/datasets/mvtec_ad/pill/readme.txt
new file mode 100644
index 0000000000000000000000000000000000000000..14ad2c0fd619a88a94d7cb616ff0aa7c056a35bf
--- /dev/null
+++ b/datasets/mvtec_ad/pill/readme.txt
@@ -0,0 +1,28 @@
+Attribution
+-----------
+If you use the dataset in scientific work, please cite:
+
+Paul Bergmann, Michael Fauser, David Sattlegger, and Carsten Steger,
+"A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection",
+IEEE Conference on Computer Vision and Pattern Recognition, 2019
+
+
+License
+-------
+Copyright 2019 MVTec Software GmbH
+
+This work is licensed under a Creative Commons 
+Attribution-NonCommercial-ShareAlike 4.0 International License.
+
+You should have received a copy of the license along with this work.
+If not, see <http://creativecommons.org/licenses/by-nc-sa/4.0/>.
+
+For using the data in a way that falls under the commercial use clause
+of the license, please contact us.
+
+
+Contact
+-------
+If you have any questions or comments about the dataset, feel free to
+contact us via: paul.bergmann@mvtec.com, fauser@mvtec.com,
+sattlegger@mvtec.com, steger@mvtec.com
\ No newline at end of file
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diff --git a/datasets/mvtec_ad/readme.txt b/datasets/mvtec_ad/readme.txt
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+Attribution
+-----------
+If you use the dataset in scientific work, please cite:
+
+Paul Bergmann, Michael Fauser, David Sattlegger, and Carsten Steger,
+"A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection",
+IEEE Conference on Computer Vision and Pattern Recognition, 2019
+
+
+License
+-------
+Copyright 2019 MVTec Software GmbH
+
+This work is licensed under a Creative Commons 
+Attribution-NonCommercial-ShareAlike 4.0 International License.
+
+You should have received a copy of the license along with this work.
+If not, see <http://creativecommons.org/licenses/by-nc-sa/4.0/>.
+
+For using the data in a way that falls under the commercial use clause
+of the license, please contact us.
+
+
+Contact
+-------
+If you have any questions or comments about the dataset, feel free to
+contact us via: paul.bergmann@mvtec.com, fauser@mvtec.com,
+sattlegger@mvtec.com, steger@mvtec.com
\ No newline at end of file
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diff --git a/datasets/mvtec_ad/screw/readme.txt b/datasets/mvtec_ad/screw/readme.txt
new file mode 100644
index 0000000000000000000000000000000000000000..14ad2c0fd619a88a94d7cb616ff0aa7c056a35bf
--- /dev/null
+++ b/datasets/mvtec_ad/screw/readme.txt
@@ -0,0 +1,28 @@
+Attribution
+-----------
+If you use the dataset in scientific work, please cite:
+
+Paul Bergmann, Michael Fauser, David Sattlegger, and Carsten Steger,
+"A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection",
+IEEE Conference on Computer Vision and Pattern Recognition, 2019
+
+
+License
+-------
+Copyright 2019 MVTec Software GmbH
+
+This work is licensed under a Creative Commons 
+Attribution-NonCommercial-ShareAlike 4.0 International License.
+
+You should have received a copy of the license along with this work.
+If not, see <http://creativecommons.org/licenses/by-nc-sa/4.0/>.
+
+For using the data in a way that falls under the commercial use clause
+of the license, please contact us.
+
+
+Contact
+-------
+If you have any questions or comments about the dataset, feel free to
+contact us via: paul.bergmann@mvtec.com, fauser@mvtec.com,
+sattlegger@mvtec.com, steger@mvtec.com
\ No newline at end of file
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diff --git a/datasets/mvtec_ad/tile/readme.txt b/datasets/mvtec_ad/tile/readme.txt
new file mode 100644
index 0000000000000000000000000000000000000000..14ad2c0fd619a88a94d7cb616ff0aa7c056a35bf
--- /dev/null
+++ b/datasets/mvtec_ad/tile/readme.txt
@@ -0,0 +1,28 @@
+Attribution
+-----------
+If you use the dataset in scientific work, please cite:
+
+Paul Bergmann, Michael Fauser, David Sattlegger, and Carsten Steger,
+"A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection",
+IEEE Conference on Computer Vision and Pattern Recognition, 2019
+
+
+License
+-------
+Copyright 2019 MVTec Software GmbH
+
+This work is licensed under a Creative Commons 
+Attribution-NonCommercial-ShareAlike 4.0 International License.
+
+You should have received a copy of the license along with this work.
+If not, see <http://creativecommons.org/licenses/by-nc-sa/4.0/>.
+
+For using the data in a way that falls under the commercial use clause
+of the license, please contact us.
+
+
+Contact
+-------
+If you have any questions or comments about the dataset, feel free to
+contact us via: paul.bergmann@mvtec.com, fauser@mvtec.com,
+sattlegger@mvtec.com, steger@mvtec.com
\ No newline at end of file
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+Attribution-NonCommercial-ShareAlike 4.0 International
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+     deemed unenforceable, it shall be automatically reformed to the
+     minimum extent necessary to make it enforceable. If the provision
+     cannot be reformed, it shall be severed from this Public License
+     without affecting the enforceability of the remaining terms and
+     conditions.
+
+  c. No term or condition of this Public License will be waived and no
+     failure to comply consented to unless expressly agreed to by the
+     Licensor.
+
+  d. Nothing in this Public License constitutes or may be interpreted
+     as a limitation upon, or waiver of, any privileges and immunities
+     that apply to the Licensor or You, including from the legal
+     processes of any jurisdiction or authority.
+
+=======================================================================
+
+Creative Commons is not a party to its public
+licenses. Notwithstanding, Creative Commons may elect to apply one of
+its public licenses to material it publishes and in those instances
+will be considered the “Licensor.” The text of the Creative Commons
+public licenses is dedicated to the public domain under the CC0 Public
+Domain Dedication. Except for the limited purpose of indicating that
+material is shared under a Creative Commons public license or as
+otherwise permitted by the Creative Commons policies published at
+creativecommons.org/policies, Creative Commons does not authorize the
+use of the trademark "Creative Commons" or any other trademark or logo
+of Creative Commons without its prior written consent including,
+without limitation, in connection with any unauthorized modifications
+to any of its public licenses or any other arrangements,
+understandings, or agreements concerning use of licensed material. For
+the avoidance of doubt, this paragraph does not form part of the
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+
+Creative Commons may be contacted at creativecommons.org.
+
diff --git a/datasets/mvtec_ad/toothbrush/readme.txt b/datasets/mvtec_ad/toothbrush/readme.txt
new file mode 100644
index 0000000000000000000000000000000000000000..14ad2c0fd619a88a94d7cb616ff0aa7c056a35bf
--- /dev/null
+++ b/datasets/mvtec_ad/toothbrush/readme.txt
@@ -0,0 +1,28 @@
+Attribution
+-----------
+If you use the dataset in scientific work, please cite:
+
+Paul Bergmann, Michael Fauser, David Sattlegger, and Carsten Steger,
+"A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection",
+IEEE Conference on Computer Vision and Pattern Recognition, 2019
+
+
+License
+-------
+Copyright 2019 MVTec Software GmbH
+
+This work is licensed under a Creative Commons 
+Attribution-NonCommercial-ShareAlike 4.0 International License.
+
+You should have received a copy of the license along with this work.
+If not, see <http://creativecommons.org/licenses/by-nc-sa/4.0/>.
+
+For using the data in a way that falls under the commercial use clause
+of the license, please contact us.
+
+
+Contact
+-------
+If you have any questions or comments about the dataset, feel free to
+contact us via: paul.bergmann@mvtec.com, fauser@mvtec.com,
+sattlegger@mvtec.com, steger@mvtec.com
\ No newline at end of file
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--- /dev/null
+++ b/datasets/mvtec_ad/transistor/license.txt
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diff --git a/datasets/mvtec_ad/transistor/readme.txt b/datasets/mvtec_ad/transistor/readme.txt
new file mode 100644
index 0000000000000000000000000000000000000000..14ad2c0fd619a88a94d7cb616ff0aa7c056a35bf
--- /dev/null
+++ b/datasets/mvtec_ad/transistor/readme.txt
@@ -0,0 +1,28 @@
+Attribution
+-----------
+If you use the dataset in scientific work, please cite:
+
+Paul Bergmann, Michael Fauser, David Sattlegger, and Carsten Steger,
+"A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection",
+IEEE Conference on Computer Vision and Pattern Recognition, 2019
+
+
+License
+-------
+Copyright 2019 MVTec Software GmbH
+
+This work is licensed under a Creative Commons 
+Attribution-NonCommercial-ShareAlike 4.0 International License.
+
+You should have received a copy of the license along with this work.
+If not, see <http://creativecommons.org/licenses/by-nc-sa/4.0/>.
+
+For using the data in a way that falls under the commercial use clause
+of the license, please contact us.
+
+
+Contact
+-------
+If you have any questions or comments about the dataset, feel free to
+contact us via: paul.bergmann@mvtec.com, fauser@mvtec.com,
+sattlegger@mvtec.com, steger@mvtec.com
\ No newline at end of file
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--- /dev/null
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+Attribution-NonCommercial-ShareAlike 4.0 International
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diff --git a/datasets/mvtec_ad/wood/readme.txt b/datasets/mvtec_ad/wood/readme.txt
new file mode 100644
index 0000000000000000000000000000000000000000..14ad2c0fd619a88a94d7cb616ff0aa7c056a35bf
--- /dev/null
+++ b/datasets/mvtec_ad/wood/readme.txt
@@ -0,0 +1,28 @@
+Attribution
+-----------
+If you use the dataset in scientific work, please cite:
+
+Paul Bergmann, Michael Fauser, David Sattlegger, and Carsten Steger,
+"A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection",
+IEEE Conference on Computer Vision and Pattern Recognition, 2019
+
+
+License
+-------
+Copyright 2019 MVTec Software GmbH
+
+This work is licensed under a Creative Commons 
+Attribution-NonCommercial-ShareAlike 4.0 International License.
+
+You should have received a copy of the license along with this work.
+If not, see <http://creativecommons.org/licenses/by-nc-sa/4.0/>.
+
+For using the data in a way that falls under the commercial use clause
+of the license, please contact us.
+
+
+Contact
+-------
+If you have any questions or comments about the dataset, feel free to
+contact us via: paul.bergmann@mvtec.com, fauser@mvtec.com,
+sattlegger@mvtec.com, steger@mvtec.com
\ No newline at end of file
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+
+=======================================================================
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diff --git a/datasets/mvtec_ad/zipper/readme.txt b/datasets/mvtec_ad/zipper/readme.txt
new file mode 100644
index 0000000000000000000000000000000000000000..14ad2c0fd619a88a94d7cb616ff0aa7c056a35bf
--- /dev/null
+++ b/datasets/mvtec_ad/zipper/readme.txt
@@ -0,0 +1,28 @@
+Attribution
+-----------
+If you use the dataset in scientific work, please cite:
+
+Paul Bergmann, Michael Fauser, David Sattlegger, and Carsten Steger,
+"A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection",
+IEEE Conference on Computer Vision and Pattern Recognition, 2019
+
+
+License
+-------
+Copyright 2019 MVTec Software GmbH
+
+This work is licensed under a Creative Commons 
+Attribution-NonCommercial-ShareAlike 4.0 International License.
+
+You should have received a copy of the license along with this work.
+If not, see <http://creativecommons.org/licenses/by-nc-sa/4.0/>.
+
+For using the data in a way that falls under the commercial use clause
+of the license, please contact us.
+
+
+Contact
+-------
+If you have any questions or comments about the dataset, feel free to
+contact us via: paul.bergmann@mvtec.com, fauser@mvtec.com,
+sattlegger@mvtec.com, steger@mvtec.com
\ No newline at end of file
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+      "defect_image": "/root/project/datasets/mvtec_ad/bottle/test/contamination/020.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/bottle/ground_truth/contamination/020_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/bottle/train/good/046.png",
+      "category": "bottle",
+      "defect_type": "contamination",
+      "similarity": 0.9525,
+      "defect_ratio": 0.1499
+    }
+  ]
+}
\ No newline at end of file
diff --git a/training_triplets/cable/manifest.json b/training_triplets/cable/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..d3e613bc6ea541e989bc112dda03f1b452efdf80
--- /dev/null
+++ b/training_triplets/cable/manifest.json
@@ -0,0 +1,846 @@
+{
+  "category": "cable",
+  "n_triplets": 92,
+  "n_defect_types": 8,
+  "defect_types": [
+    "bent_wire",
+    "cable_swap",
+    "combined",
+    "cut_inner_insulation",
+    "cut_outer_insulation",
+    "missing_cable",
+    "missing_wire",
+    "poke_insulation"
+  ],
+  "created": "2026-04-09T06:31:19.928427",
+  "triplets": [
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/bent_wire/000.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/bent_wire/000_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/165.png",
+      "category": "cable",
+      "defect_type": "bent_wire",
+      "similarity": 0.896,
+      "defect_ratio": 0.0221
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/bent_wire/001.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/bent_wire/001_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/181.png",
+      "category": "cable",
+      "defect_type": "bent_wire",
+      "similarity": 0.9083,
+      "defect_ratio": 0.0145
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/bent_wire/002.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/bent_wire/002_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/182.png",
+      "category": "cable",
+      "defect_type": "bent_wire",
+      "similarity": 0.8623,
+      "defect_ratio": 0.0354
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/bent_wire/003.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/bent_wire/003_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/115.png",
+      "category": "cable",
+      "defect_type": "bent_wire",
+      "similarity": 0.8988,
+      "defect_ratio": 0.0123
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/bent_wire/004.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/bent_wire/004_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/152.png",
+      "category": "cable",
+      "defect_type": "bent_wire",
+      "similarity": 0.8345,
+      "defect_ratio": 0.0313
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/bent_wire/005.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/bent_wire/005_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/182.png",
+      "category": "cable",
+      "defect_type": "bent_wire",
+      "similarity": 0.8234,
+      "defect_ratio": 0.036
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/bent_wire/006.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/bent_wire/006_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/098.png",
+      "category": "cable",
+      "defect_type": "bent_wire",
+      "similarity": 0.8946,
+      "defect_ratio": 0.0389
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/bent_wire/007.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/bent_wire/007_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/110.png",
+      "category": "cable",
+      "defect_type": "bent_wire",
+      "similarity": 0.8657,
+      "defect_ratio": 0.0368
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/bent_wire/008.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/bent_wire/008_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/011.png",
+      "category": "cable",
+      "defect_type": "bent_wire",
+      "similarity": 0.9295,
+      "defect_ratio": 0.0187
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/bent_wire/009.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/bent_wire/009_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/182.png",
+      "category": "cable",
+      "defect_type": "bent_wire",
+      "similarity": 0.8747,
+      "defect_ratio": 0.0364
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/bent_wire/010.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/bent_wire/010_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/115.png",
+      "category": "cable",
+      "defect_type": "bent_wire",
+      "similarity": 0.8707,
+      "defect_ratio": 0.0363
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/bent_wire/011.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/bent_wire/011_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/216.png",
+      "category": "cable",
+      "defect_type": "bent_wire",
+      "similarity": 0.6544,
+      "defect_ratio": 0.1137
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/bent_wire/012.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/bent_wire/012_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/182.png",
+      "category": "cable",
+      "defect_type": "bent_wire",
+      "similarity": 0.7972,
+      "defect_ratio": 0.069
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/cable_swap/000.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/cable_swap/000_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/134.png",
+      "category": "cable",
+      "defect_type": "cable_swap",
+      "similarity": 0.9487,
+      "defect_ratio": 0.064
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/cable_swap/001.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/cable_swap/001_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/125.png",
+      "category": "cable",
+      "defect_type": "cable_swap",
+      "similarity": 0.9178,
+      "defect_ratio": 0.0587
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/cable_swap/002.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/cable_swap/002_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/122.png",
+      "category": "cable",
+      "defect_type": "cable_swap",
+      "similarity": 0.9427,
+      "defect_ratio": 0.0545
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/cable_swap/003.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/cable_swap/003_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/186.png",
+      "category": "cable",
+      "defect_type": "cable_swap",
+      "similarity": 0.9541,
+      "defect_ratio": 0.0563
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/cable_swap/004.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/cable_swap/004_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/091.png",
+      "category": "cable",
+      "defect_type": "cable_swap",
+      "similarity": 0.9553,
+      "defect_ratio": 0.0525
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/cable_swap/005.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/cable_swap/005_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/125.png",
+      "category": "cable",
+      "defect_type": "cable_swap",
+      "similarity": 0.9353,
+      "defect_ratio": 0.0624
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/cable_swap/006.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/cable_swap/006_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/215.png",
+      "category": "cable",
+      "defect_type": "cable_swap",
+      "similarity": 0.9451,
+      "defect_ratio": 0.0647
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/cable_swap/007.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/cable_swap/007_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/093.png",
+      "category": "cable",
+      "defect_type": "cable_swap",
+      "similarity": 0.9289,
+      "defect_ratio": 0.0608
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/cable_swap/008.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/cable_swap/008_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/023.png",
+      "category": "cable",
+      "defect_type": "cable_swap",
+      "similarity": 0.9236,
+      "defect_ratio": 0.0588
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/cable_swap/009.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/cable_swap/009_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/135.png",
+      "category": "cable",
+      "defect_type": "cable_swap",
+      "similarity": 0.951,
+      "defect_ratio": 0.0555
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/cable_swap/010.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/cable_swap/010_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/083.png",
+      "category": "cable",
+      "defect_type": "cable_swap",
+      "similarity": 0.943,
+      "defect_ratio": 0.0577
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/cable_swap/011.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/cable_swap/011_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/215.png",
+      "category": "cable",
+      "defect_type": "cable_swap",
+      "similarity": 0.9435,
+      "defect_ratio": 0.0495
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/combined/000.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/combined/000_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/115.png",
+      "category": "cable",
+      "defect_type": "combined",
+      "similarity": 0.8859,
+      "defect_ratio": 0.0404
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/combined/001.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/combined/001_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/155.png",
+      "category": "cable",
+      "defect_type": "combined",
+      "similarity": 0.8943,
+      "defect_ratio": 0.0394
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/combined/002.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/combined/002_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/159.png",
+      "category": "cable",
+      "defect_type": "combined",
+      "similarity": 0.9533,
+      "defect_ratio": 0.0228
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/combined/003.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/combined/003_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/109.png",
+      "category": "cable",
+      "defect_type": "combined",
+      "similarity": 0.919,
+      "defect_ratio": 0.0313
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/combined/004.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/combined/004_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/185.png",
+      "category": "cable",
+      "defect_type": "combined",
+      "similarity": 0.9488,
+      "defect_ratio": 0.0477
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/combined/005.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/combined/005_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/110.png",
+      "category": "cable",
+      "defect_type": "combined",
+      "similarity": 0.764,
+      "defect_ratio": 0.1417
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/combined/006.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/combined/006_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/023.png",
+      "category": "cable",
+      "defect_type": "combined",
+      "similarity": 0.7378,
+      "defect_ratio": 0.0897
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/combined/007.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/combined/007_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/085.png",
+      "category": "cable",
+      "defect_type": "combined",
+      "similarity": 0.9212,
+      "defect_ratio": 0.0743
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/combined/008.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/combined/008_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/182.png",
+      "category": "cable",
+      "defect_type": "combined",
+      "similarity": 0.8449,
+      "defect_ratio": 0.0463
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/combined/009.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/combined/009_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/114.png",
+      "category": "cable",
+      "defect_type": "combined",
+      "similarity": 0.8952,
+      "defect_ratio": 0.0886
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/combined/010.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/combined/010_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/149.png",
+      "category": "cable",
+      "defect_type": "combined",
+      "similarity": 0.8898,
+      "defect_ratio": 0.0746
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/cut_inner_insulation/000.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/cut_inner_insulation/000_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/011.png",
+      "category": "cable",
+      "defect_type": "cut_inner_insulation",
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+      "defect_ratio": 0.0318
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/cut_inner_insulation/001.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/cut_inner_insulation/001_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/069.png",
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+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/cut_inner_insulation/002.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/cut_inner_insulation/002_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/007.png",
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+      "defect_ratio": 0.0257
+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/cut_inner_insulation/003_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/190.png",
+      "category": "cable",
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+      "defect_ratio": 0.06
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/cut_inner_insulation/004.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/cut_inner_insulation/004_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/087.png",
+      "category": "cable",
+      "defect_type": "cut_inner_insulation",
+      "similarity": 0.9001,
+      "defect_ratio": 0.0423
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/cut_inner_insulation/005.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/cut_inner_insulation/005_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/011.png",
+      "category": "cable",
+      "defect_type": "cut_inner_insulation",
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+      "defect_ratio": 0.0261
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/cut_inner_insulation/006.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/cut_inner_insulation/006_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/215.png",
+      "category": "cable",
+      "defect_type": "cut_inner_insulation",
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+      "defect_ratio": 0.0189
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/cut_inner_insulation/007.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/cut_inner_insulation/007_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/122.png",
+      "category": "cable",
+      "defect_type": "cut_inner_insulation",
+      "similarity": 0.9005,
+      "defect_ratio": 0.0392
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/cut_inner_insulation/008.png",
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+      "similarity": 0.92,
+      "defect_ratio": 0.0397
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/cable/test/poke_insulation/009.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/cable/ground_truth/poke_insulation/009_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/cable/train/good/155.png",
+      "category": "cable",
+      "defect_type": "poke_insulation",
+      "similarity": 0.9555,
+      "defect_ratio": 0.0353
+    }
+  ]
+}
\ No newline at end of file
diff --git a/training_triplets/capsule/manifest.json b/training_triplets/capsule/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..3bcf7ba6df2ac309bfec8ab8d76cdc6ccfbb48ac
--- /dev/null
+++ b/training_triplets/capsule/manifest.json
@@ -0,0 +1,933 @@
+{
+  "category": "capsule",
+  "n_triplets": 102,
+  "n_defect_types": 5,
+  "defect_types": [
+    "crack",
+    "faulty_imprint",
+    "poke",
+    "scratch",
+    "squeeze"
+  ],
+  "created": "2026-04-09T06:31:35.005373",
+  "triplets": [
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/capsule/ground_truth/crack/000_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/capsule/train/good/025.png",
+      "category": "capsule",
+      "defect_type": "crack",
+      "similarity": 0.9898,
+      "defect_ratio": 0.0025
+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/capsule/ground_truth/crack/001_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/capsule/train/good/126.png",
+      "category": "capsule",
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+      "similarity": 0.9344,
+      "defect_ratio": 0.0233
+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/capsule/ground_truth/crack/002_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/capsule/train/good/111.png",
+      "category": "capsule",
+      "defect_type": "crack",
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+      "defect_ratio": 0.0021
+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/capsule/ground_truth/crack/003_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/capsule/train/good/201.png",
+      "category": "capsule",
+      "defect_type": "crack",
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+      "defect_ratio": 0.0035
+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/capsule/ground_truth/crack/004_mask.png",
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+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/capsule/ground_truth/crack/005_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/capsule/train/good/194.png",
+      "category": "capsule",
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+      "defect_ratio": 0.0044
+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/capsule/ground_truth/crack/006_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/capsule/train/good/109.png",
+      "category": "capsule",
+      "defect_type": "crack",
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+      "defect_ratio": 0.0052
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/capsule/test/crack/007.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/capsule/ground_truth/crack/007_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/capsule/train/good/198.png",
+      "category": "capsule",
+      "defect_type": "crack",
+      "similarity": 0.976,
+      "defect_ratio": 0.0048
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/capsule/test/crack/008.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/capsule/ground_truth/crack/008_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/capsule/train/good/068.png",
+      "category": "capsule",
+      "defect_type": "crack",
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+      "defect_ratio": 0.0028
+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/capsule/ground_truth/crack/009_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/capsule/train/good/109.png",
+      "category": "capsule",
+      "defect_type": "crack",
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+      "defect_ratio": 0.0054
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/capsule/test/crack/010.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/capsule/ground_truth/crack/010_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/capsule/train/good/128.png",
+      "category": "capsule",
+      "defect_type": "crack",
+      "similarity": 0.9686,
+      "defect_ratio": 0.018
+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/capsule/ground_truth/crack/011_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/capsule/train/good/116.png",
+      "category": "capsule",
+      "defect_type": "crack",
+      "similarity": 0.9794,
+      "defect_ratio": 0.0054
+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/capsule/ground_truth/crack/012_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/capsule/train/good/130.png",
+      "category": "capsule",
+      "defect_type": "crack",
+      "similarity": 0.9659,
+      "defect_ratio": 0.0034
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/capsule/test/crack/015.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/capsule/ground_truth/crack/015_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/capsule/train/good/137.png",
+      "category": "capsule",
+      "defect_type": "crack",
+      "similarity": 0.9683,
+      "defect_ratio": 0.0116
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/capsule/test/crack/016.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/capsule/ground_truth/crack/016_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/capsule/train/good/128.png",
+      "category": "capsule",
+      "defect_type": "crack",
+      "similarity": 0.9904,
+      "defect_ratio": 0.002
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/capsule/test/crack/017.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/capsule/ground_truth/crack/017_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/capsule/train/good/125.png",
+      "category": "capsule",
+      "defect_type": "crack",
+      "similarity": 0.9784,
+      "defect_ratio": 0.0048
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/capsule/test/crack/018.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/capsule/ground_truth/crack/018_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/capsule/train/good/137.png",
+      "category": "capsule",
+      "defect_type": "crack",
+      "similarity": 0.9871,
+      "defect_ratio": 0.0028
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/capsule/test/crack/019.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/capsule/ground_truth/crack/019_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/capsule/train/good/137.png",
+      "category": "capsule",
+      "defect_type": "crack",
+      "similarity": 0.9749,
+      "defect_ratio": 0.0028
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/capsule/test/faulty_imprint/000.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/capsule/ground_truth/faulty_imprint/000_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/capsule/train/good/117.png",
+      "category": "capsule",
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+      "defect_ratio": 0.0027
+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/capsule/ground_truth/faulty_imprint/001_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/capsule/train/good/059.png",
+      "category": "capsule",
+      "defect_type": "faulty_imprint",
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+      "defect_ratio": 0.0023
+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/capsule/ground_truth/faulty_imprint/002_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/capsule/train/good/181.png",
+      "category": "capsule",
+      "defect_type": "faulty_imprint",
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+      "defect_ratio": 0.0028
+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/capsule/ground_truth/faulty_imprint/003_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/capsule/train/good/005.png",
+      "category": "capsule",
+      "defect_type": "faulty_imprint",
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+      "defect_ratio": 0.002
+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/capsule/ground_truth/faulty_imprint/004_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/capsule/train/good/145.png",
+      "category": "capsule",
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+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/capsule/ground_truth/faulty_imprint/005_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/capsule/train/good/022.png",
+      "category": "capsule",
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+      "defect_ratio": 0.0392
+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/capsule/ground_truth/faulty_imprint/006_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/capsule/train/good/184.png",
+      "category": "capsule",
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+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/capsule/ground_truth/faulty_imprint/007_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/capsule/train/good/059.png",
+      "category": "capsule",
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+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/capsule/ground_truth/faulty_imprint/008_mask.png",
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+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/capsule/ground_truth/faulty_imprint/009_mask.png",
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+      "category": "capsule",
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+      "mask_image": "/root/project/datasets/mvtec_ad/capsule/ground_truth/faulty_imprint/010_mask.png",
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+      "category": "capsule",
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+    },
+    {
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+      "category": "capsule",
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+    },
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+      "mask_image": "/root/project/datasets/mvtec_ad/capsule/ground_truth/faulty_imprint/012_mask.png",
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+      "category": "capsule",
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+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/capsule/ground_truth/faulty_imprint/013_mask.png",
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+      "category": "capsule",
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+    },
+    {
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+      "defect_ratio": 0.002
+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/capsule/ground_truth/faulty_imprint/016_mask.png",
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+    },
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+    {
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+}
\ No newline at end of file
diff --git a/training_triplets/carpet/manifest.json b/training_triplets/carpet/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..24de89b81b9e8e1fbae59a3c37bb82336c235212
--- /dev/null
+++ b/training_triplets/carpet/manifest.json
@@ -0,0 +1,816 @@
+{
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+  "n_defect_types": 5,
+  "defect_types": [
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+    "hole",
+    "metal_contamination",
+    "thread"
+  ],
+  "created": "2026-04-09T06:31:51.550457",
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+}
\ No newline at end of file
diff --git a/training_triplets/grid/manifest.json b/training_triplets/grid/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..87fd8794b68268403719944ee31e80a283dad891
--- /dev/null
+++ b/training_triplets/grid/manifest.json
@@ -0,0 +1,528 @@
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+}
\ No newline at end of file
diff --git a/training_triplets/hazelnut/manifest.json b/training_triplets/hazelnut/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..9b9a1d4c89871b19d9f0c6f4e1e4a4cc5451f494
--- /dev/null
+++ b/training_triplets/hazelnut/manifest.json
@@ -0,0 +1,644 @@
+{
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+}
\ No newline at end of file
diff --git a/training_triplets/leather/manifest.json b/training_triplets/leather/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..3d15d16174c4ca670c3bd31e672b20d381cf092c
--- /dev/null
+++ b/training_triplets/leather/manifest.json
@@ -0,0 +1,825 @@
+{
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+    },
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+    },
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+    },
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+    },
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+      "mask_image": "/root/project/datasets/mvtec_ad/leather/ground_truth/poke/012_mask.png",
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+    },
+    {
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+      "category": "leather",
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+    },
+    {
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+      "category": "leather",
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+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/leather/ground_truth/poke/015_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/leather/train/good/099.png",
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+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/leather/ground_truth/poke/016_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/leather/train/good/099.png",
+      "category": "leather",
+      "defect_type": "poke",
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+      "defect_ratio": 0.0027
+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/leather/ground_truth/poke/017_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/leather/train/good/099.png",
+      "category": "leather",
+      "defect_type": "poke",
+      "similarity": 0.8598,
+      "defect_ratio": 0.0016
+    }
+  ]
+}
\ No newline at end of file
diff --git a/training_triplets/metal_nut/manifest.json b/training_triplets/metal_nut/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..b5df86fa5956de75b8e94d5d4c6200526424f7d2
--- /dev/null
+++ b/training_triplets/metal_nut/manifest.json
@@ -0,0 +1,851 @@
+{
+  "category": "metal_nut",
+  "n_triplets": 93,
+  "n_defect_types": 4,
+  "defect_types": [
+    "bent",
+    "color",
+    "flip",
+    "scratch"
+  ],
+  "created": "2026-04-09T06:32:45.230970",
+  "triplets": [
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/metal_nut/test/bent/000.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/metal_nut/ground_truth/bent/000_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/metal_nut/train/good/089.png",
+      "category": "metal_nut",
+      "defect_type": "bent",
+      "similarity": 0.9336,
+      "defect_ratio": 0.047
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/metal_nut/test/bent/001.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/metal_nut/ground_truth/bent/001_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/metal_nut/train/good/150.png",
+      "category": "metal_nut",
+      "defect_type": "bent",
+      "similarity": 0.9632,
+      "defect_ratio": 0.0172
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/metal_nut/test/bent/002.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/metal_nut/ground_truth/bent/002_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/metal_nut/train/good/182.png",
+      "category": "metal_nut",
+      "defect_type": "bent",
+      "similarity": 0.9584,
+      "defect_ratio": 0.0097
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/metal_nut/test/bent/003.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/metal_nut/ground_truth/bent/003_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/metal_nut/train/good/090.png",
+      "category": "metal_nut",
+      "defect_type": "bent",
+      "similarity": 0.9525,
+      "defect_ratio": 0.0186
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/metal_nut/test/bent/004.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/metal_nut/ground_truth/bent/004_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/metal_nut/train/good/117.png",
+      "category": "metal_nut",
+      "defect_type": "bent",
+      "similarity": 0.9599,
+      "defect_ratio": 0.0157
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/metal_nut/test/bent/005.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/metal_nut/ground_truth/bent/005_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/metal_nut/train/good/123.png",
+      "category": "metal_nut",
+      "defect_type": "bent",
+      "similarity": 0.929,
+      "defect_ratio": 0.0221
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/metal_nut/test/bent/006.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/metal_nut/ground_truth/bent/006_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/metal_nut/train/good/032.png",
+      "category": "metal_nut",
+      "defect_type": "bent",
+      "similarity": 0.9647,
+      "defect_ratio": 0.0139
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/metal_nut/test/bent/007.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/metal_nut/ground_truth/bent/007_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/metal_nut/train/good/016.png",
+      "category": "metal_nut",
+      "defect_type": "bent",
+      "similarity": 0.9539,
+      "defect_ratio": 0.0071
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/metal_nut/test/bent/008.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/metal_nut/ground_truth/bent/008_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/metal_nut/train/good/047.png",
+      "category": "metal_nut",
+      "defect_type": "bent",
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+      "defect_ratio": 0.0201
+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/metal_nut/ground_truth/bent/009_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/metal_nut/train/good/123.png",
+      "category": "metal_nut",
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+      "defect_ratio": 0.017
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/metal_nut/test/bent/010.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/metal_nut/ground_truth/bent/010_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/metal_nut/train/good/089.png",
+      "category": "metal_nut",
+      "defect_type": "bent",
+      "similarity": 0.8663,
+      "defect_ratio": 0.0289
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/metal_nut/test/bent/011.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/metal_nut/ground_truth/bent/011_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/metal_nut/train/good/137.png",
+      "category": "metal_nut",
+      "defect_type": "bent",
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+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/metal_nut/ground_truth/bent/012_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/metal_nut/train/good/120.png",
+      "category": "metal_nut",
+      "defect_type": "bent",
+      "similarity": 0.9415,
+      "defect_ratio": 0.024
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/metal_nut/test/bent/013.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/metal_nut/ground_truth/bent/013_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/metal_nut/train/good/060.png",
+      "category": "metal_nut",
+      "defect_type": "bent",
+      "similarity": 0.9606,
+      "defect_ratio": 0.0248
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/metal_nut/test/bent/014.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/metal_nut/ground_truth/bent/014_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/metal_nut/train/good/045.png",
+      "category": "metal_nut",
+      "defect_type": "bent",
+      "similarity": 0.9731,
+      "defect_ratio": 0.0107
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/metal_nut/test/bent/015.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/metal_nut/ground_truth/bent/015_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/metal_nut/train/good/113.png",
+      "category": "metal_nut",
+      "defect_type": "bent",
+      "similarity": 0.9333,
+      "defect_ratio": 0.0359
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/metal_nut/test/bent/016.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/metal_nut/ground_truth/bent/016_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/metal_nut/train/good/047.png",
+      "category": "metal_nut",
+      "defect_type": "bent",
+      "similarity": 0.9518,
+      "defect_ratio": 0.017
+    },
+    {
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+}
\ No newline at end of file
diff --git a/training_triplets/pill/manifest.json b/training_triplets/pill/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..8aed27fe0373546cd0beafe111ea523d299afa67
--- /dev/null
+++ b/training_triplets/pill/manifest.json
@@ -0,0 +1,1223 @@
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+    }
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+}
\ No newline at end of file
diff --git a/training_triplets/screw/manifest.json b/training_triplets/screw/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..e6e26252fb03a3b3f5142cbb4b6b8bac4cb8114d
--- /dev/null
+++ b/training_triplets/screw/manifest.json
@@ -0,0 +1,1077 @@
+{
+  "category": "screw",
+  "n_triplets": 118,
+  "n_defect_types": 5,
+  "defect_types": [
+    "manipulated_front",
+    "scratch_head",
+    "scratch_neck",
+    "thread_side",
+    "thread_top"
+  ],
+  "created": "2026-04-09T06:33:11.803804",
+  "triplets": [
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+      "mask_image": "/root/project/datasets/mvtec_ad/screw/ground_truth/manipulated_front/000_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/screw/train/good/142.png",
+      "category": "screw",
+      "defect_type": "manipulated_front",
+      "similarity": 0.9893,
+      "defect_ratio": 0.0036
+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/screw/ground_truth/manipulated_front/001_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/screw/train/good/038.png",
+      "category": "screw",
+      "defect_type": "manipulated_front",
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+      "defect_ratio": 0.0027
+    },
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+      "mask_image": "/root/project/datasets/mvtec_ad/screw/ground_truth/manipulated_front/002_mask.png",
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+    },
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+      "mask_image": "/root/project/datasets/mvtec_ad/screw/ground_truth/manipulated_front/003_mask.png",
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+      "category": "screw",
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+    },
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+      "mask_image": "/root/project/datasets/mvtec_ad/screw/ground_truth/manipulated_front/005_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/screw/train/good/183.png",
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+      "defect_ratio": 0.0032
+    },
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+      "mask_image": "/root/project/datasets/mvtec_ad/screw/ground_truth/manipulated_front/006_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/screw/train/good/028.png",
+      "category": "screw",
+      "defect_type": "manipulated_front",
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+    },
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+      "mask_image": "/root/project/datasets/mvtec_ad/screw/ground_truth/manipulated_front/007_mask.png",
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+    },
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+      "mask_image": "/root/project/datasets/mvtec_ad/screw/ground_truth/manipulated_front/010_mask.png",
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+    },
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+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/screw/ground_truth/manipulated_front/013_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/screw/train/good/148.png",
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+      "defect_ratio": 0.003
+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/screw/ground_truth/manipulated_front/015_mask.png",
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+    },
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+    },
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+    },
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+      "mask_image": "/root/project/datasets/mvtec_ad/screw/ground_truth/manipulated_front/020_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/screw/train/good/304.png",
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+    },
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+      "normal_image": "/root/project/datasets/mvtec_ad/screw/train/good/019.png",
+      "category": "screw",
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+      "defect_ratio": 0.0015
+    },
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+      "mask_image": "/root/project/datasets/mvtec_ad/screw/ground_truth/manipulated_front/022_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/screw/train/good/127.png",
+      "category": "screw",
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+      "defect_ratio": 0.0014
+    },
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+      "mask_image": "/root/project/datasets/mvtec_ad/screw/ground_truth/manipulated_front/023_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/screw/train/good/021.png",
+      "category": "screw",
+      "defect_type": "manipulated_front",
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+      "defect_ratio": 0.0024
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/screw/test/scratch_head/000.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/screw/ground_truth/scratch_head/000_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/screw/train/good/057.png",
+      "category": "screw",
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+      "defect_ratio": 0.0026
+    },
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+      "mask_image": "/root/project/datasets/mvtec_ad/screw/ground_truth/scratch_head/001_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/screw/train/good/088.png",
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+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/screw/test/scratch_head/002.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/screw/ground_truth/scratch_head/002_mask.png",
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+}
\ No newline at end of file
diff --git a/training_triplets/tile/manifest.json b/training_triplets/tile/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..abf23f01fceaca327500b55aeb1c34459c9bc4b9
--- /dev/null
+++ b/training_triplets/tile/manifest.json
@@ -0,0 +1,771 @@
+{
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+  "n_defect_types": 5,
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+  "created": "2026-04-09T06:33:23.611042",
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+}
\ No newline at end of file
diff --git a/training_triplets/toothbrush/manifest.json b/training_triplets/toothbrush/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..b1a6097bd9d8e4faa088c0d817992d0d77cc2491
--- /dev/null
+++ b/training_triplets/toothbrush/manifest.json
@@ -0,0 +1,281 @@
+{
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+  "n_defect_types": 1,
+  "defect_types": [
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+  ],
+  "created": "2026-04-09T06:33:28.071377",
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+      "defect_type": "defective",
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+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/toothbrush/ground_truth/defective/019_mask.png",
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+      "category": "toothbrush",
+      "defect_type": "defective",
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+    },
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+    },
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+      "category": "toothbrush",
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+    },
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+      "mask_image": "/root/project/datasets/mvtec_ad/toothbrush/ground_truth/defective/025_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/toothbrush/train/good/053.png",
+      "category": "toothbrush",
+      "defect_type": "defective",
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+      "defect_ratio": 0.0378
+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/toothbrush/ground_truth/defective/026_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/toothbrush/train/good/044.png",
+      "category": "toothbrush",
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+      "defect_ratio": 0.0082
+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/toothbrush/ground_truth/defective/027_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/toothbrush/train/good/044.png",
+      "category": "toothbrush",
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+    },
+    {
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+      "mask_image": "/root/project/datasets/mvtec_ad/toothbrush/ground_truth/defective/028_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/toothbrush/train/good/059.png",
+      "category": "toothbrush",
+      "defect_type": "defective",
+      "similarity": 0.9596,
+      "defect_ratio": 0.0075
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/toothbrush/test/defective/029.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/toothbrush/ground_truth/defective/029_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/toothbrush/train/good/059.png",
+      "category": "toothbrush",
+      "defect_type": "defective",
+      "similarity": 0.8822,
+      "defect_ratio": 0.0666
+    }
+  ]
+}
\ No newline at end of file
diff --git a/training_triplets/transistor/manifest.json b/training_triplets/transistor/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..1828006132a375d9c443e5ddb93af95cfb59fdd1
--- /dev/null
+++ b/training_triplets/transistor/manifest.json
@@ -0,0 +1,374 @@
+{
+  "category": "transistor",
+  "n_triplets": 40,
+  "n_defect_types": 4,
+  "defect_types": [
+    "bent_lead",
+    "cut_lead",
+    "damaged_case",
+    "misplaced"
+  ],
+  "created": "2026-04-09T06:33:41.045050",
+  "triplets": [
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/transistor/test/bent_lead/000.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/transistor/ground_truth/bent_lead/000_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/transistor/train/good/119.png",
+      "category": "transistor",
+      "defect_type": "bent_lead",
+      "similarity": 0.9798,
+      "defect_ratio": 0.0043
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/transistor/test/bent_lead/001.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/transistor/ground_truth/bent_lead/001_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/transistor/train/good/157.png",
+      "category": "transistor",
+      "defect_type": "bent_lead",
+      "similarity": 0.9775,
+      "defect_ratio": 0.0022
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/transistor/test/bent_lead/002.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/transistor/ground_truth/bent_lead/002_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/transistor/train/good/173.png",
+      "category": "transistor",
+      "defect_type": "bent_lead",
+      "similarity": 0.9763,
+      "defect_ratio": 0.0113
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/transistor/test/bent_lead/003.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/transistor/ground_truth/bent_lead/003_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/transistor/train/good/128.png",
+      "category": "transistor",
+      "defect_type": "bent_lead",
+      "similarity": 0.9462,
+      "defect_ratio": 0.0092
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/transistor/test/bent_lead/004.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/transistor/ground_truth/bent_lead/004_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/transistor/train/good/119.png",
+      "category": "transistor",
+      "defect_type": "bent_lead",
+      "similarity": 0.9684,
+      "defect_ratio": 0.0038
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/transistor/test/bent_lead/005.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/transistor/ground_truth/bent_lead/005_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/transistor/train/good/053.png",
+      "category": "transistor",
+      "defect_type": "bent_lead",
+      "similarity": 0.9551,
+      "defect_ratio": 0.0159
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/transistor/test/bent_lead/006.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/transistor/ground_truth/bent_lead/006_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/transistor/train/good/174.png",
+      "category": "transistor",
+      "defect_type": "bent_lead",
+      "similarity": 0.9407,
+      "defect_ratio": 0.0358
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/transistor/test/bent_lead/007.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/transistor/ground_truth/bent_lead/007_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/transistor/train/good/195.png",
+      "category": "transistor",
+      "defect_type": "bent_lead",
+      "similarity": 0.9571,
+      "defect_ratio": 0.0319
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/transistor/test/bent_lead/008.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/transistor/ground_truth/bent_lead/008_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/transistor/train/good/005.png",
+      "category": "transistor",
+      "defect_type": "bent_lead",
+      "similarity": 0.954,
+      "defect_ratio": 0.0365
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/transistor/test/bent_lead/009.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/transistor/ground_truth/bent_lead/009_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/transistor/train/good/119.png",
+      "category": "transistor",
+      "defect_type": "bent_lead",
+      "similarity": 0.9734,
+      "defect_ratio": 0.009
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/transistor/test/cut_lead/000.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/transistor/ground_truth/cut_lead/000_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/transistor/train/good/205.png",
+      "category": "transistor",
+      "defect_type": "cut_lead",
+      "similarity": 0.9662,
+      "defect_ratio": 0.0113
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/transistor/test/cut_lead/001.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/transistor/ground_truth/cut_lead/001_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/transistor/train/good/173.png",
+      "category": "transistor",
+      "defect_type": "cut_lead",
+      "similarity": 0.964,
+      "defect_ratio": 0.0179
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/transistor/test/cut_lead/002.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/transistor/ground_truth/cut_lead/002_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/transistor/train/good/021.png",
+      "category": "transistor",
+      "defect_type": "cut_lead",
+      "similarity": 0.9772,
+      "defect_ratio": 0.0104
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/transistor/test/cut_lead/003.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/transistor/ground_truth/cut_lead/003_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/transistor/train/good/176.png",
+      "category": "transistor",
+      "defect_type": "cut_lead",
+      "similarity": 0.963,
+      "defect_ratio": 0.0143
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/transistor/test/cut_lead/004.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/transistor/ground_truth/cut_lead/004_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/transistor/train/good/042.png",
+      "category": "transistor",
+      "defect_type": "cut_lead",
+      "similarity": 0.9459,
+      "defect_ratio": 0.0358
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/transistor/test/cut_lead/005.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/transistor/ground_truth/cut_lead/005_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/transistor/train/good/042.png",
+      "category": "transistor",
+      "defect_type": "cut_lead",
+      "similarity": 0.9777,
+      "defect_ratio": 0.0113
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/transistor/test/cut_lead/006.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/transistor/ground_truth/cut_lead/006_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/transistor/train/good/096.png",
+      "category": "transistor",
+      "defect_type": "cut_lead",
+      "similarity": 0.9716,
+      "defect_ratio": 0.0153
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/transistor/test/cut_lead/007.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/transistor/ground_truth/cut_lead/007_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/transistor/train/good/114.png",
+      "category": "transistor",
+      "defect_type": "cut_lead",
+      "similarity": 0.9665,
+      "defect_ratio": 0.0102
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/transistor/test/cut_lead/008.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/transistor/ground_truth/cut_lead/008_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/transistor/train/good/195.png",
+      "category": "transistor",
+      "defect_type": "cut_lead",
+      "similarity": 0.9608,
+      "defect_ratio": 0.0199
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/transistor/test/cut_lead/009.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/transistor/ground_truth/cut_lead/009_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/transistor/train/good/099.png",
+      "category": "transistor",
+      "defect_type": "cut_lead",
+      "similarity": 0.9609,
+      "defect_ratio": 0.0176
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/transistor/test/damaged_case/000.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/transistor/ground_truth/damaged_case/000_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/transistor/train/good/184.png",
+      "category": "transistor",
+      "defect_type": "damaged_case",
+      "similarity": 0.9803,
+      "defect_ratio": 0.0149
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/transistor/test/damaged_case/001.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/transistor/ground_truth/damaged_case/001_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/transistor/train/good/204.png",
+      "category": "transistor",
+      "defect_type": "damaged_case",
+      "similarity": 0.9552,
+      "defect_ratio": 0.0535
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/transistor/test/damaged_case/002.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/transistor/ground_truth/damaged_case/002_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/transistor/train/good/087.png",
+      "category": "transistor",
+      "defect_type": "damaged_case",
+      "similarity": 0.9769,
+      "defect_ratio": 0.0063
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/transistor/test/damaged_case/003.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/transistor/ground_truth/damaged_case/003_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/transistor/train/good/069.png",
+      "category": "transistor",
+      "defect_type": "damaged_case",
+      "similarity": 0.9762,
+      "defect_ratio": 0.0149
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/transistor/test/damaged_case/004.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/transistor/ground_truth/damaged_case/004_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/transistor/train/good/042.png",
+      "category": "transistor",
+      "defect_type": "damaged_case",
+      "similarity": 0.9507,
+      "defect_ratio": 0.0254
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/transistor/test/damaged_case/005.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/transistor/ground_truth/damaged_case/005_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/transistor/train/good/129.png",
+      "category": "transistor",
+      "defect_type": "damaged_case",
+      "similarity": 0.9817,
+      "defect_ratio": 0.0349
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/transistor/test/damaged_case/006.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/transistor/ground_truth/damaged_case/006_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/transistor/train/good/069.png",
+      "category": "transistor",
+      "defect_type": "damaged_case",
+      "similarity": 0.9727,
+      "defect_ratio": 0.0207
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/transistor/test/damaged_case/007.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/transistor/ground_truth/damaged_case/007_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/transistor/train/good/195.png",
+      "category": "transistor",
+      "defect_type": "damaged_case",
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+      "defect_ratio": 0.0129
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/transistor/test/damaged_case/008.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/transistor/ground_truth/damaged_case/008_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/transistor/train/good/017.png",
+      "category": "transistor",
+      "defect_type": "damaged_case",
+      "similarity": 0.947,
+      "defect_ratio": 0.0505
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/transistor/test/damaged_case/009.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/transistor/ground_truth/damaged_case/009_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/transistor/train/good/096.png",
+      "category": "transistor",
+      "defect_type": "damaged_case",
+      "similarity": 0.9618,
+      "defect_ratio": 0.0507
+    },
+    {
+      "defect_image": "/root/project/datasets/mvtec_ad/transistor/test/misplaced/000.png",
+      "mask_image": "/root/project/datasets/mvtec_ad/transistor/ground_truth/misplaced/000_mask.png",
+      "normal_image": "/root/project/datasets/mvtec_ad/transistor/train/good/159.png",
+      "category": "transistor",
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+}
\ No newline at end of file
diff --git a/training_triplets/wood/manifest.json b/training_triplets/wood/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..aeb55930d96d5ad5cae6913875790220e9831024
--- /dev/null
+++ b/training_triplets/wood/manifest.json
@@ -0,0 +1,555 @@
+{
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+  "defect_types": [
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+  "created": "2026-04-09T06:33:55.550276",
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+}
\ No newline at end of file
diff --git a/training_triplets/zipper/manifest.json b/training_triplets/zipper/manifest.json
new file mode 100644
index 0000000000000000000000000000000000000000..776aef96f141026ec6a398cc2e2e2fd58245abc6
--- /dev/null
+++ b/training_triplets/zipper/manifest.json
@@ -0,0 +1,1088 @@
+{
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+  "n_defect_types": 7,
+  "defect_types": [
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+    "fabric_border",
+    "fabric_interior",
+    "rough",
+    "split_teeth",
+    "squeezed_teeth"
+  ],
+  "created": "2026-04-09T06:34:05.505035",
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+}
\ No newline at end of file