Upload DDPM landscape pipeline
Browse files- README.md +31 -0
- model_index.json +12 -0
- scheduler/scheduler_config.json +19 -0
- unet/config.json +54 -0
- unet/diffusion_pytorch_model.safetensors +3 -0
README.md
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
tags:
|
| 4 |
+
- diffusers
|
| 5 |
+
- ddpm
|
| 6 |
+
- unconditional-image-generation
|
| 7 |
+
library_name: diffusers
|
| 8 |
+
pipeline_tag: unconditional-image-generation
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# ddpm-landscape
|
| 12 |
+
|
| 13 |
+
A DDPM model fine-tuned to generate 256x256 landscape images.
|
| 14 |
+
|
| 15 |
+
## Usage
|
| 16 |
+
|
| 17 |
+
```python
|
| 18 |
+
# !pip install diffusers
|
| 19 |
+
from diffusers import DDPMPipeline, DDIMPipeline, PNDMPipeline
|
| 20 |
+
|
| 21 |
+
model_id = "crab27/ddpm-landscape"
|
| 22 |
+
|
| 23 |
+
# load model and scheduler
|
| 24 |
+
ddpm = DDPMPipeline.from_pretrained(model_id) # you can replace DDPMPipeline with DDIMPipeline or PNDMPipeline for faster inference
|
| 25 |
+
|
| 26 |
+
# run pipeline in inference (sample random noise and denoise)
|
| 27 |
+
image = ddpm().images[0]
|
| 28 |
+
|
| 29 |
+
# save image
|
| 30 |
+
image.save("ddpm_generated_image.png")
|
| 31 |
+
```
|
model_index.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "DDPMPipeline",
|
| 3 |
+
"_diffusers_version": "0.38.0",
|
| 4 |
+
"scheduler": [
|
| 5 |
+
"diffusers",
|
| 6 |
+
"DDPMScheduler"
|
| 7 |
+
],
|
| 8 |
+
"unet": [
|
| 9 |
+
"diffusers",
|
| 10 |
+
"UNet2DModel"
|
| 11 |
+
]
|
| 12 |
+
}
|
scheduler/scheduler_config.json
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "DDPMScheduler",
|
| 3 |
+
"_diffusers_version": "0.38.0",
|
| 4 |
+
"beta_end": 0.02,
|
| 5 |
+
"beta_schedule": "linear",
|
| 6 |
+
"beta_start": 0.0001,
|
| 7 |
+
"clip_sample": true,
|
| 8 |
+
"clip_sample_range": 1.0,
|
| 9 |
+
"dynamic_thresholding_ratio": 0.995,
|
| 10 |
+
"num_train_timesteps": 1000,
|
| 11 |
+
"prediction_type": "epsilon",
|
| 12 |
+
"rescale_betas_zero_snr": false,
|
| 13 |
+
"sample_max_value": 1.0,
|
| 14 |
+
"steps_offset": 0,
|
| 15 |
+
"thresholding": false,
|
| 16 |
+
"timestep_spacing": "leading",
|
| 17 |
+
"trained_betas": null,
|
| 18 |
+
"variance_type": "fixed_small"
|
| 19 |
+
}
|
unet/config.json
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "UNet2DModel",
|
| 3 |
+
"_diffusers_version": "0.38.0",
|
| 4 |
+
"_name_or_path": "google/ddpm-church-256",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"add_attention": true,
|
| 7 |
+
"attention_head_dim": null,
|
| 8 |
+
"attn_norm_num_groups": null,
|
| 9 |
+
"block_out_channels": [
|
| 10 |
+
128,
|
| 11 |
+
128,
|
| 12 |
+
256,
|
| 13 |
+
256,
|
| 14 |
+
512,
|
| 15 |
+
512
|
| 16 |
+
],
|
| 17 |
+
"center_input_sample": false,
|
| 18 |
+
"class_embed_type": null,
|
| 19 |
+
"down_block_types": [
|
| 20 |
+
"DownBlock2D",
|
| 21 |
+
"DownBlock2D",
|
| 22 |
+
"DownBlock2D",
|
| 23 |
+
"DownBlock2D",
|
| 24 |
+
"AttnDownBlock2D",
|
| 25 |
+
"DownBlock2D"
|
| 26 |
+
],
|
| 27 |
+
"downsample_padding": 0,
|
| 28 |
+
"downsample_type": "conv",
|
| 29 |
+
"dropout": 0.0,
|
| 30 |
+
"flip_sin_to_cos": false,
|
| 31 |
+
"freq_shift": 1,
|
| 32 |
+
"in_channels": 3,
|
| 33 |
+
"layers_per_block": 2,
|
| 34 |
+
"mid_block_scale_factor": 1,
|
| 35 |
+
"mid_block_type": "UNetMidBlock2D",
|
| 36 |
+
"norm_eps": 1e-06,
|
| 37 |
+
"norm_num_groups": 32,
|
| 38 |
+
"num_class_embeds": null,
|
| 39 |
+
"num_train_timesteps": null,
|
| 40 |
+
"out_channels": 3,
|
| 41 |
+
"resnet_time_scale_shift": "default",
|
| 42 |
+
"sample_size": 256,
|
| 43 |
+
"time_embedding_dim": null,
|
| 44 |
+
"time_embedding_type": "positional",
|
| 45 |
+
"up_block_types": [
|
| 46 |
+
"UpBlock2D",
|
| 47 |
+
"AttnUpBlock2D",
|
| 48 |
+
"UpBlock2D",
|
| 49 |
+
"UpBlock2D",
|
| 50 |
+
"UpBlock2D",
|
| 51 |
+
"UpBlock2D"
|
| 52 |
+
],
|
| 53 |
+
"upsample_type": "conv"
|
| 54 |
+
}
|
unet/diffusion_pytorch_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5733532484c28d6c547aecd5f038515b510d1a584226da463989a78f478d8f52
|
| 3 |
+
size 454741108
|