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.gitattributes

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+tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+assets/DMDR.webp filter=lfs diff=lfs merge=lfs -text
+assets/architecture.webp filter=lfs diff=lfs merge=lfs -text
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+assets/showcase.jpg filter=lfs diff=lfs merge=lfs -text
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+assets/showcase_realistic.png filter=lfs diff=lfs merge=lfs -text
+assets/showcase_rendering.png filter=lfs diff=lfs merge=lfs -text
+assets/Z-Image-Gallery.pdf filter=lfs diff=lfs merge=lfs -text
+assets/leaderboard.png filter=lfs diff=lfs merge=lfs -text
+env/bin/python filter=lfs diff=lfs merge=lfs -text
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+env/bin/python3 filter=lfs diff=lfs merge=lfs -text
+env/lib/python3.13/site-packages/yaml/_yaml.cpython-313-x86_64-linux-gnu.so filter=lfs diff=lfs merge=lfs -text
+env/lib/python3.13/site-packages/hf_xet/hf_xet.abi3.so filter=lfs diff=lfs merge=lfs -text
+env/lib/python3.13/site-packages/__pycache__/typing_extensions.cpython-313.pyc filter=lfs diff=lfs merge=lfs -text
+env/lib/python3.13/site-packages/huggingface_hub/__pycache__/hf_api.cpython-313.pyc filter=lfs diff=lfs merge=lfs -text
+env/lib/python3.13/site-packages/idna/__pycache__/uts46data.cpython-313.pyc filter=lfs diff=lfs merge=lfs -text
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+env/lib/python3.13/site-packages/pip/_vendor/__pycache__/typing_extensions.cpython-313.pyc filter=lfs diff=lfs merge=lfs -text
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README.md

@@ -0,0 +1,197 @@
+---
+license: apache-2.0
+language:
+- en
+pipeline_tag: text-to-image
+library_name: diffusers
+---
+
+
+<h1 align="center">⚡️- Image<br><sub><sup>An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer</sup></sub></h1>
+
+<div align="center">
+
+[![Official Site](https://img.shields.io/badge/Official%20Site-333399.svg?logo=homepage)](https://tongyi-mai.github.io/Z-Image-blog/)&#160;
+[![GitHub](https://img.shields.io/badge/GitHub-Z--Image-181717?logo=github&logoColor=white)](https://github.com/Tongyi-MAI/Z-Image)&#160;
+[![Hugging Face](https://img.shields.io/badge/%F0%9F%A4%97%20Checkpoint-Z--Image--Turbo-yellow)](https://huggingface.co/Tongyi-MAI/Z-Image-Turbo)&#160;
+[![Hugging Face](https://img.shields.io/badge/%F0%9F%A4%97%20Online_Demo-Z--Image--Turbo-blue)](https://huggingface.co/spaces/Tongyi-MAI/Z-Image-Turbo)&#160;
+[![Hugging Face](https://img.shields.io/badge/%F0%9F%A4%97%20Mobile_Demo-Z--Image--Turbo-red)](https://huggingface.co/spaces/akhaliq/Z-Image-Turbo)&#160;
+[![ModelScope Model](https://img.shields.io/badge/🤖%20Checkpoint-Z--Image--Turbo-624aff)](https://www.modelscope.cn/models/Tongyi-MAI/Z-Image-Turbo)&#160;
+[![ModelScope Space](https://img.shields.io/badge/🤖%20Online_Demo-Z--Image--Turbo-17c7a7)](https://www.modelscope.cn/aigc/imageGeneration?tab=advanced&versionId=469191&modelType=Checkpoint&sdVersion=Z_IMAGE_TURBO&modelUrl=modelscope%253A%252F%252FTongyi-MAI%252FZ-Image-Turbo%253Frevision%253Dmaster%7D%7BOnline)&#160;
+[![Art Gallery PDF](https://img.shields.io/badge/%F0%9F%96%BC%20Art_Gallery-PDF-ff69b4)](assets/Z-Image-Gallery.pdf)&#160;
+[![Web Art Gallery](https://img.shields.io/badge/%F0%9F%8C%90%20Web_Art_Gallery-online-00bfff)](https://modelscope.cn/studios/Tongyi-MAI/Z-Image-Gallery/summary)&#160;
+<a href="https://arxiv.org/abs/2511.22699" target="_blank"><img src="https://img.shields.io/badge/Report-b5212f.svg?logo=arxiv" height="21px"></a>
+
+
+Welcome to the official repository for the Z-Image（造相）project!
+
+</div>
+
+
+
+## ✨ Z-Image
+
+Z-Image is a powerful and highly efficient image generation model with **6B** parameters. Currently there are three variants:
+
+- 🚀 **Z-Image-Turbo** – A distilled version of Z-Image that matches or exceeds leading competitors with only **8 NFEs** (Number of Function Evaluations). It offers **⚡️sub-second inference latency⚡️** on enterprise-grade H800 GPUs and fits comfortably within **16G VRAM consumer devices**. It excels in photorealistic image generation, bilingual text rendering (English & Chinese), and robust instruction adherence.
+
+- 🧱 **Z-Image-Base** – The non-distilled foundation model. By releasing this checkpoint, we aim to unlock the full potential for community-driven fine-tuning and custom development.
+
+- ✍️ **Z-Image-Edit** – A variant fine-tuned on Z-Image specifically for image editing tasks. It supports creative image-to-image generation with impressive instruction-following capabilities, allowing for precise edits based on natural language prompts.
+
+### 📥 Model Zoo
+
+| Model | Hugging Face                                                                                                                                                                                                                                                                                                              | ModelScope                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |
+| :--- |:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| **Z-Image-Turbo** | [![Hugging Face](https://img.shields.io/badge/%F0%9F%A4%97%20Checkpoint%20-Z--Image--Turbo-yellow)](https://huggingface.co/Tongyi-MAI/Z-Image-Turbo) <br> [![Hugging Face Space](https://img.shields.io/badge/%F0%9F%A4%97%20Online%20Demo-Z--Image--Turbo-blue)](https://huggingface.co/spaces/Tongyi-MAI/Z-Image-Turbo) | [![ModelScope Model](https://img.shields.io/badge/🤖%20%20Checkpoint-Z--Image--Turbo-624aff)](https://www.modelscope.cn/models/Tongyi-MAI/Z-Image-Turbo) <br> [![ModelScope Space](https://img.shields.io/badge/%F0%9F%A4%96%20Online%20Demo-Z--Image--Turbo-17c7a7)](https://www.modelscope.cn/aigc/imageGeneration?tab=advanced&versionId=469191&modelType=Checkpoint&sdVersion=Z_IMAGE_TURBO&modelUrl=modelscope%3A%2F%2FTongyi-MAI%2FZ-Image-Turbo%3Frevision%3Dmaster) |
+| **Z-Image-Base** | *To be released*                                                                                                                                                                                                                                                                                                          | *To be released*                                                                                                                                                                                                                                                                                                                                                                                                                                                            |
+| **Z-Image-Edit** | *To be released*                                                                                                                                                                                                                                                                                                          | *To be released*                                                                                                                                                                                                                                                                                                                                                                                                                                                            |
+
+### 🖼️ Showcase
+
+📸 **Photorealistic Quality**: **Z-Image-Turbo** delivers strong photorealistic image generation while maintaining excellent aesthetic quality.
+
+![Showcase of Z-Image on Photo-realistic image Generation](assets/showcase_realistic.png)
+
+📖 **Accurate Bilingual Text Rendering**: **Z-Image-Turbo** excels at accurately rendering complex Chinese and English text.
+
+![Showcase of Z-Image on Bilingual Text Rendering](assets/showcase_rendering.png)
+
+💡  **Prompt Enhancing & Reasoning**: Prompt Enhancer empowers the model with reasoning capabilities, enabling it to transcend surface-level descriptions and tap into underlying world knowledge.
+
+![reasoning.jpg](assets/reasoning.png)
+
+🧠 **Creative Image Editing**: **Z-Image-Edit** shows a strong understanding of bilingual editing instructions, enabling imaginative and flexible image transformations.
+
+![Showcase of Z-Image-Edit on Image Editing](assets/showcase_editing.png)
+
+### 🏗️ Model Architecture
+We adopt a **Scalable Single-Stream DiT** (S3-DiT) architecture. In this setup, text, visual semantic tokens, and image VAE tokens are concatenated at the sequence level to serve as a unified input stream, maximizing parameter efficiency compared to dual-stream approaches.
+
+![Architecture of Z-Image and Z-Image-Edit](assets/architecture.webp)
+
+### 📈 Performance
+According to the Elo-based Human Preference Evaluation (on [*Alibaba AI Arena*](https://aiarena.alibaba-inc.com/corpora/arena/leaderboard?arenaType=T2I)), Z-Image-Turbo shows highly competitive performance against other leading models, while achieving state-of-the-art results among open-source models.
+
+<p align="center">
+  <a href="https://aiarena.alibaba-inc.com/corpora/arena/leaderboard?arenaType=T2I">
+    <img src="assets/leaderboard.png" alt="Z-Image Elo Rating on AI Arena"/><br />
+    <span style="font-size:1.05em; cursor:pointer; text-decoration:underline;"> Click to view the full leaderboard</span>
+  </a>
+</p>
+
+### 🚀 Quick Start
+Install the latest version of diffusers, use the following command:
+<details>
+  <summary><sup>Click here for details for why you need to install diffusers from source</sup></summary>
+
+  We have submitted two pull requests ([#12703](https://github.com/huggingface/diffusers/pull/12703) and [#12715](https://github.com/huggingface/diffusers/pull/12704)) to the 🤗 diffusers repository to add support for Z-Image. Both PRs have been merged into the latest official diffusers release.
+  Therefore, you need to install diffusers from source for the latest features and Z-Image support.
+
+</details>
+
+```bash
+pip install git+https://github.com/huggingface/diffusers
+```
+
+```python
+import torch
+from diffusers import ZImagePipeline
+
+# 1. Load the pipeline
+# Use bfloat16 for optimal performance on supported GPUs
+pipe = ZImagePipeline.from_pretrained(
+    "Tongyi-MAI/Z-Image-Turbo",
+    torch_dtype=torch.bfloat16,
+    low_cpu_mem_usage=False,
+)
+pipe.to("cuda")
+
+# [Optional] Attention Backend
+# Diffusers uses SDPA by default. Switch to Flash Attention for better efficiency if supported:
+# pipe.transformer.set_attention_backend("flash")    # Enable Flash-Attention-2
+# pipe.transformer.set_attention_backend("_flash_3") # Enable Flash-Attention-3
+
+# [Optional] Model Compilation
+# Compiling the DiT model accelerates inference, but the first run will take longer to compile.
+# pipe.transformer.compile()
+
+# [Optional] CPU Offloading
+# Enable CPU offloading for memory-constrained devices.
+# pipe.enable_model_cpu_offload()
+
+prompt = "Young Chinese woman in red Hanfu, intricate embroidery. Impeccable makeup, red floral forehead pattern. Elaborate high bun, golden phoenix headdress, red flowers, beads. Holds round folding fan with lady, trees, bird. Neon lightning-bolt lamp (⚡️), bright yellow glow, above extended left palm. Soft-lit outdoor night background, silhouetted tiered pagoda (西安大雁塔), blurred colorful distant lights."
+
+# 2. Generate Image
+image = pipe(
+    prompt=prompt,
+    height=1024,
+    width=1024,
+    num_inference_steps=9,  # This actually results in 8 DiT forwards
+    guidance_scale=0.0,     # Guidance should be 0 for the Turbo models
+    generator=torch.Generator("cuda").manual_seed(42),
+).images[0]
+
+image.save("example.png")
+```
+
+## 🔬 Decoupled-DMD: The Acceleration Magic Behind Z-Image
+
+[![arXiv](https://img.shields.io/badge/arXiv-2511.22677-b31b1b.svg)](https://arxiv.org/abs/2511.22677)
+
+Decoupled-DMD is the core few-step distillation algorithm that empowers the 8-step Z-Image model.
+
+Our core insight in Decoupled-DMD  is that the success of existing DMD (Distributaion Matching Distillation) methods is the result of two independent, collaborating mechanisms:
+
+-   **CFG Augmentation (CA)**: The primary **engine** 🚀 driving the distillation process, a factor largely overlooked in previous work.
+-   **Distribution Matching (DM)**: Acts more as a **regularizer** ⚖️, ensuring the stability and quality of the generated output.
+
+By recognizing and decoupling these two mechanisms, we were able to study and optimize them in isolation. This ultimately motivated us to develop an improved distillation process that significantly enhances the performance of few-step generation.
+
+![Diagram of Decoupled-DMD](assets/decoupled-dmd.webp)
+
+## 🤖 DMDR: Fusing DMD with Reinforcement Learning
+
+[![arXiv](https://img.shields.io/badge/arXiv-2511.13649-b31b1b.svg)](https://arxiv.org/abs/2511.13649)
+
+Building upon the strong foundation of Decoupled-DMD, our 8-step Z-Image model has already demonstrated exceptional capabilities. To achieve further improvements in terms of semantic alignment, aesthetic quality, and structural coherence—while producing images with richer high-frequency details—we present **DMDR**.
+
+Our core insight behind DMDR is that Reinforcement Learning (RL) and Distribution Matching Distillation (DMD) can be synergistically integrated during the post-training of few-step models. We demonstrate that:
+
+-   **RL Unlocks the Performance of DMD** 🚀
+-   **DMD Effectively Regularizes RL** ⚖️
+
+![Diagram of DMDR](assets/DMDR.webp)
+
+## ⏬ Download
+```bash
+pip install -U huggingface_hub
+HF_XET_HIGH_PERFORMANCE=1 hf download Tongyi-MAI/Z-Image-Turbo
+```
+
+## 📜 Citation
+
+If you find our work useful in your research, please consider citing:
+
+```bibtex
+@article{team2025zimage,
+  title={Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer},
+  author={Z-Image Team},
+  journal={arXiv preprint arXiv:2511.22699},
+  year={2025}
+}
+
+@article{liu2025decoupled,
+  title={Decoupled DMD: CFG Augmentation as the Spear, Distribution Matching as the Shield},
+  author={Dongyang Liu and Peng Gao and David Liu and Ruoyi Du and Zhen Li and Qilong Wu and Xin Jin and Sihan Cao and Shifeng Zhang and Hongsheng Li and Steven Hoi},
+  journal={arXiv preprint arXiv:2511.22677},
+  year={2025}
+}
+
+@article{jiang2025distribution,
+  title={Distribution Matching Distillation Meets Reinforcement Learning},
+  author={Jiang, Dengyang and Liu, Dongyang and Wang, Zanyi and Wu, Qilong and Jin, Xin and Liu, David and Li, Zhen and Wang, Mengmeng and Gao, Peng and Yang, Harry},
+  journal={arXiv preprint arXiv:2511.13649},
+  year={2025}
+}
+```

env/bin/Activate.ps1

@@ -0,0 +1,248 @@
+<#
+.Synopsis
+Activate a Python virtual environment for the current PowerShell session.
+
+.Description
+Pushes the python executable for a virtual environment to the front of the
+$Env:PATH environment variable and sets the prompt to signify that you are
+in a Python virtual environment. Makes use of the command line switches as
+well as the `pyvenv.cfg` file values present in the virtual environment.
+
+.Parameter VenvDir
+Path to the directory that contains the virtual environment to activate. The
+default value for this is the parent of the directory that the Activate.ps1
+script is located within.
+
+.Parameter Prompt
+The prompt prefix to display when this virtual environment is activated. By
+default, this prompt is the name of the virtual environment folder (VenvDir)
+surrounded by parentheses and followed by a single space (ie. '(.venv) ').
+
+.Example
+Activate.ps1
+Activates the Python virtual environment that contains the Activate.ps1 script.
+
+.Example
+Activate.ps1 -Verbose
+Activates the Python virtual environment that contains the Activate.ps1 script,
+and shows extra information about the activation as it executes.
+
+.Example
+Activate.ps1 -VenvDir C:\Users\MyUser\Common\.venv
+Activates the Python virtual environment located in the specified location.
+
+.Example
+Activate.ps1 -Prompt "MyPython"
+Activates the Python virtual environment that contains the Activate.ps1 script,
+and prefixes the current prompt with the specified string (surrounded in
+parentheses) while the virtual environment is active.
+
+.Notes
+On Windows, it may be required to enable this Activate.ps1 script by setting the
+execution policy for the user. You can do this by issuing the following PowerShell
+command:
+
+PS C:\> Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser
+
+For more information on Execution Policies: 
+https://go.microsoft.com/fwlink/?LinkID=135170
+
+#>
+Param(
+    [Parameter(Mandatory = $false)]
+    [String]
+    $VenvDir,
+    [Parameter(Mandatory = $false)]
+    [String]
+    $Prompt
+)
+
+<# Function declarations --------------------------------------------------- #>
+
+<#
+.Synopsis
+Remove all shell session elements added by the Activate script, including the
+addition of the virtual environment's Python executable from the beginning of
+the PATH variable.
+
+.Parameter NonDestructive
+If present, do not remove this function from the global namespace for the
+session.
+
+#>
+function global:deactivate ([switch]$NonDestructive) {
+    # Revert to original values
+
+    # The prior prompt:
+    if (Test-Path -Path Function:_OLD_VIRTUAL_PROMPT) {
+        Copy-Item -Path Function:_OLD_VIRTUAL_PROMPT -Destination Function:prompt
+        Remove-Item -Path Function:_OLD_VIRTUAL_PROMPT
+    }
+
+    # The prior PYTHONHOME:
+    if (Test-Path -Path Env:_OLD_VIRTUAL_PYTHONHOME) {
+        Copy-Item -Path Env:_OLD_VIRTUAL_PYTHONHOME -Destination Env:PYTHONHOME
+        Remove-Item -Path Env:_OLD_VIRTUAL_PYTHONHOME
+    }
+
+    # The prior PATH:
+    if (Test-Path -Path Env:_OLD_VIRTUAL_PATH) {
+        Copy-Item -Path Env:_OLD_VIRTUAL_PATH -Destination Env:PATH
+        Remove-Item -Path Env:_OLD_VIRTUAL_PATH
+    }
+
+    # Just remove the VIRTUAL_ENV altogether:
+    if (Test-Path -Path Env:VIRTUAL_ENV) {
+        Remove-Item -Path env:VIRTUAL_ENV
+    }
+
+    # Just remove VIRTUAL_ENV_PROMPT altogether.
+    if (Test-Path -Path Env:VIRTUAL_ENV_PROMPT) {
+        Remove-Item -Path env:VIRTUAL_ENV_PROMPT
+    }
+
+    # Just remove the _PYTHON_VENV_PROMPT_PREFIX altogether:
+    if (Get-Variable -Name "_PYTHON_VENV_PROMPT_PREFIX" -ErrorAction SilentlyContinue) {
+        Remove-Variable -Name _PYTHON_VENV_PROMPT_PREFIX -Scope Global -Force
+    }
+
+    # Leave deactivate function in the global namespace if requested:
+    if (-not $NonDestructive) {
+        Remove-Item -Path function:deactivate
+    }
+}
+
+<#
+.Description
+Get-PyVenvConfig parses the values from the pyvenv.cfg file located in the
+given folder, and returns them in a map.
+
+For each line in the pyvenv.cfg file, if that line can be parsed into exactly
+two strings separated by `=` (with any amount of whitespace surrounding the =)
+then it is considered a `key = value` line. The left hand string is the key,
+the right hand is the value.
+
+If the value starts with a `'` or a `"` then the first and last character is
+stripped from the value before being captured.
+
+.Parameter ConfigDir
+Path to the directory that contains the `pyvenv.cfg` file.
+#>
+function Get-PyVenvConfig(
+    [String]
+    $ConfigDir
+) {
+    Write-Verbose "Given ConfigDir=$ConfigDir, obtain values in pyvenv.cfg"
+
+    # Ensure the file exists, and issue a warning if it doesn't (but still allow the function to continue).
+    $pyvenvConfigPath = Join-Path -Resolve -Path $ConfigDir -ChildPath 'pyvenv.cfg' -ErrorAction Continue
+
+    # An empty map will be returned if no config file is found.
+    $pyvenvConfig = @{ }
+
+    if ($pyvenvConfigPath) {
+
+        Write-Verbose "File exists, parse `key = value` lines"
+        $pyvenvConfigContent = Get-Content -Path $pyvenvConfigPath
+
+        $pyvenvConfigContent | ForEach-Object {
+            $keyval = $PSItem -split "\s*=\s*", 2
+            if ($keyval[0] -and $keyval[1]) {
+                $val = $keyval[1]
+
+                # Remove extraneous quotations around a string value.
+                if ("'""".Contains($val.Substring(0, 1))) {
+                    $val = $val.Substring(1, $val.Length - 2)
+                }
+
+                $pyvenvConfig[$keyval[0]] = $val
+                Write-Verbose "Adding Key: '$($keyval[0])'='$val'"
+            }
+        }
+    }
+    return $pyvenvConfig
+}
+
+
+<# Begin Activate script --------------------------------------------------- #>
+
+# Determine the containing directory of this script
+$VenvExecPath = Split-Path -Parent $MyInvocation.MyCommand.Definition
+$VenvExecDir = Get-Item -Path $VenvExecPath
+
+Write-Verbose "Activation script is located in path: '$VenvExecPath'"
+Write-Verbose "VenvExecDir Fullname: '$($VenvExecDir.FullName)"
+Write-Verbose "VenvExecDir Name: '$($VenvExecDir.Name)"
+
+# Set values required in priority: CmdLine, ConfigFile, Default
+# First, get the location of the virtual environment, it might not be
+# VenvExecDir if specified on the command line.
+if ($VenvDir) {
+    Write-Verbose "VenvDir given as parameter, using '$VenvDir' to determine values"
+}
+else {
+    Write-Verbose "VenvDir not given as a parameter, using parent directory name as VenvDir."
+    $VenvDir = $VenvExecDir.Parent.FullName.TrimEnd("\\/")
+    Write-Verbose "VenvDir=$VenvDir"
+}
+
+# Next, read the `pyvenv.cfg` file to determine any required value such
+# as `prompt`.
+$pyvenvCfg = Get-PyVenvConfig -ConfigDir $VenvDir
+
+# Next, set the prompt from the command line, or the config file, or
+# just use the name of the virtual environment folder.
+if ($Prompt) {
+    Write-Verbose "Prompt specified as argument, using '$Prompt'"
+}
+else {
+    Write-Verbose "Prompt not specified as argument to script, checking pyvenv.cfg value"
+    if ($pyvenvCfg -and $pyvenvCfg['prompt']) {
+        Write-Verbose "  Setting based on value in pyvenv.cfg='$($pyvenvCfg['prompt'])'"
+        $Prompt = $pyvenvCfg['prompt'];
+    }
+    else {
+        Write-Verbose "  Setting prompt based on parent's directory's name. (Is the directory name passed to venv module when creating the virtual environment)"
+        Write-Verbose "  Got leaf-name of $VenvDir='$(Split-Path -Path $venvDir -Leaf)'"
+        $Prompt = Split-Path -Path $venvDir -Leaf
+    }
+}
+
+Write-Verbose "Prompt = '$Prompt'"
+Write-Verbose "VenvDir='$VenvDir'"
+
+# Deactivate any currently active virtual environment, but leave the
+# deactivate function in place.
+deactivate -nondestructive
+
+# Now set the environment variable VIRTUAL_ENV, used by many tools to determine
+# that there is an activated venv.
+$env:VIRTUAL_ENV = $VenvDir
+
+$env:VIRTUAL_ENV_PROMPT = $Prompt
+
+if (-not $Env:VIRTUAL_ENV_DISABLE_PROMPT) {
+
+    Write-Verbose "Setting prompt to '$Prompt'"
+
+    # Set the prompt to include the env name
+    # Make sure _OLD_VIRTUAL_PROMPT is global
+    function global:_OLD_VIRTUAL_PROMPT { "" }
+    Copy-Item -Path function:prompt -Destination function:_OLD_VIRTUAL_PROMPT
+    New-Variable -Name _PYTHON_VENV_PROMPT_PREFIX -Description "Python virtual environment prompt prefix" -Scope Global -Option ReadOnly -Visibility Public -Value $Prompt
+
+    function global:prompt {
+        Write-Host -NoNewline -ForegroundColor Green "($_PYTHON_VENV_PROMPT_PREFIX) "
+        _OLD_VIRTUAL_PROMPT
+    }
+}
+
+# Clear PYTHONHOME
+if (Test-Path -Path Env:PYTHONHOME) {
+    Copy-Item -Path Env:PYTHONHOME -Destination Env:_OLD_VIRTUAL_PYTHONHOME
+    Remove-Item -Path Env:PYTHONHOME
+}
+
+# Add the venv to the PATH
+Copy-Item -Path Env:PATH -Destination Env:_OLD_VIRTUAL_PATH
+$Env:PATH = "$VenvExecDir$([System.IO.Path]::PathSeparator)$Env:PATH"

env/bin/httpx

@@ -0,0 +1,8 @@
+#!/home/jxngrx/Work/MINE_DEMO_PROECTS/Z-Image-Turbo/env/bin/python3
+# -*- coding: utf-8 -*-
+import re
+import sys
+from httpx import main
+if __name__ == '__main__':
+    sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
+    sys.exit(main())

env/bin/pip3

@@ -0,0 +1,8 @@
+#!/home/jxngrx/Work/MINE_DEMO_PROECTS/Z-Image-Turbo/env/bin/python3
+# -*- coding: utf-8 -*-
+import re
+import sys
+from pip._internal.cli.main import main
+if __name__ == '__main__':
+    sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
+    sys.exit(main())

env/bin/pip3.13

@@ -0,0 +1,8 @@
+#!/home/jxngrx/Work/MINE_DEMO_PROECTS/Z-Image-Turbo/env/bin/python3
+# -*- coding: utf-8 -*-
+import re
+import sys
+from pip._internal.cli.main import main
+if __name__ == '__main__':
+    sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
+    sys.exit(main())

env/bin/python

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+version https://git-lfs.github.com/spec/v1
+oid sha256:921d6dc8134821fd0d168885ddd33f3e5d23b75a1391e4fc526da43e7fb6ada5
+size 6894448

env/bin/python3

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:921d6dc8134821fd0d168885ddd33f3e5d23b75a1391e4fc526da43e7fb6ada5
+size 6894448

env/bin/python3.13

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:921d6dc8134821fd0d168885ddd33f3e5d23b75a1391e4fc526da43e7fb6ada5
+size 6894448

env/bin/tiny-agents

@@ -0,0 +1,8 @@
+#!/home/jxngrx/Work/MINE_DEMO_PROECTS/Z-Image-Turbo/env/bin/python3
+# -*- coding: utf-8 -*-
+import re
+import sys
+from huggingface_hub.inference._mcp.cli import app
+if __name__ == '__main__':
+    sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
+    sys.exit(app())

env/bin/tqdm

@@ -0,0 +1,8 @@
+#!/home/jxngrx/Work/MINE_DEMO_PROECTS/Z-Image-Turbo/env/bin/python3
+# -*- coding: utf-8 -*-
+import re
+import sys
+from tqdm.cli import main
+if __name__ == '__main__':
+    sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
+    sys.exit(main())

env/lib/python3.13/site-packages/__pycache__/typing_extensions.cpython-313.pyc

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2ec19822f6c74485e66e334ce5f4161b76fb0b14df715336002517e183121f2f
+size 162884

env/lib/python3.13/site-packages/anyio/_backends/__pycache__/_asyncio.cpython-313.pyc

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+oid sha256:55feed06d92dc31c6df812f11347b4a183734a8156a9dbf0e1886d859486464d
+size 144139

env/lib/python3.13/site-packages/click/__pycache__/core.cpython-313.pyc

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b41d0926233de8301b3bdfc5a5ef9dd2c523700627f282e4cf036884d41b7eea
+size 132892

env/lib/python3.13/site-packages/git_lfs/__init__.py

@@ -0,0 +1,249 @@
+from __future__ import division, print_function, unicode_literals
+
+import json
+import os
+import pprint
+from subprocess import CalledProcessError, check_output, PIPE, Popen, STDOUT
+try:
+    from urllib.parse import urlsplit, urlunsplit
+    from urllib.request import Request, urlopen
+    from urllib.error import HTTPError
+except ImportError:
+    from urllib2 import Request, urlopen
+    from urllib2 import HTTPError
+    from urlparse import urlsplit, urlunsplit
+
+from .utils import force_link, ignore_missing_file, in_dir, TempDir, TempFile
+
+
+MEDIA_TYPE = 'application/vnd.git-lfs+json'
+POST_HEADERS = {'Accept': MEDIA_TYPE, 'Content-Type': MEDIA_TYPE}
+
+
+def git_show(git_repo, p):
+    with in_dir(git_repo):
+        return check_output(['git', 'show', 'HEAD:'+p])
+
+
+def get_cache_dir(git_dir, oid):
+    return git_dir+'/lfs/objects/'+oid[:2]+'/'+oid[2:4]
+
+
+def get_lfs_endpoint_url(git_repo, checkout_dir):
+    try:
+        with in_dir(checkout_dir):
+            url = check_output(
+                'git config -f .lfsconfig --get lfs.url'.split()
+            ).strip().decode('utf8')
+    except CalledProcessError:
+        with in_dir(git_repo):
+            url = check_output(
+                'git config --get remote.origin.url'.split()
+            ).strip().decode('utf8')
+    if url.endswith('/'):
+        url = url[:-1]
+    if not url.endswith('/info/lfs'):
+        url += '/info/lfs' if url.endswith('.git') else '.git/info/lfs'
+    url_split = urlsplit(url)
+    host, path = url_split.hostname, url_split.path
+    if url_split.scheme != 'https':
+        if not url_split.scheme:
+            # SSH format: git@example.org:repo.git
+            host, path = url_split.path.split('@', 1)[1].split(':', 1)
+        url = urlunsplit(('https', host, path, '', ''))
+    del url_split
+
+    # need to get GHE auth token if available. issue cmd like this to get:
+    # ssh git@git-server.com git-lfs-authenticate foo/bar.git download
+    if path.endswith('/info/lfs'):
+        path = path[:-len('/info/lfs')]
+    auth_header = get_lfs_api_token(host, path)
+    return url, auth_header
+
+
+def get_lfs_api_token(host, path):
+    """ gets an authorization token to use to do further introspection on the
+        LFS info in the repository.   See documentation here for description of
+        the ssh command and response:
+        https://github.com/git-lfs/git-lfs/blob/master/docs/api/server-discovery.md
+    """
+    header_info = {}
+    query_cmd = 'ssh git@'+host+' git-lfs-authenticate '+path+' download'
+    output = check_output(query_cmd.split()).strip().decode('utf8')
+    if output:
+        query_resp = json.loads(output)
+        header_info = query_resp['header']
+
+    return header_info
+
+
+def find_lfs_files(checkout_dir):
+    """Yields the paths of the files managed by Git LFS
+    """
+    with in_dir(checkout_dir):
+        repo_files = Popen('git ls-files -z'.split(), stdout=PIPE)
+        repo_files_attrs = check_output(
+            'git check-attr --cached --stdin -z diff filter'.split(),
+            stdin=repo_files.stdout
+        )
+    # In old versions of git, check-attr's `-z` flag only applied to input
+    sep = b'\0' if b'\0' in repo_files_attrs else b'\n'
+    i = iter(repo_files_attrs.strip(sep).split(sep))
+    paths = set()
+    while True:
+        try:
+            if sep == b'\0':
+                path, attr, value = next(i), next(i), next(i)
+            else:
+                path, attr, value = next(i).rsplit(': ', 2)
+            attr  # shut up pyflakes
+        except StopIteration:
+            break
+        if value != b'lfs':
+            continue
+        if path in paths:
+            continue
+        paths.add(path)
+        yield path.decode('ascii')
+
+
+def read_lfs_metadata(checkout_dir):
+    """Yields (path, oid, size) tuples for all files managed by Git LFS
+    """
+    for path in find_lfs_files(checkout_dir):
+        meta = git_show(checkout_dir, path).decode('utf8').strip().split('\n')
+        assert meta[0] == 'version https://git-lfs.github.com/spec/v1', meta
+        d = dict(line.split(' ', 1) for line in meta[1:])
+        oid = d['oid']
+        oid = oid[7:] if oid.startswith('sha256:') else oid
+        size = int(d['size'])
+        yield (path, oid, size)
+
+
+def fetch_urls(lfs_url, lfs_auth_info, oid_list):
+    """Fetch the URLs of the files from the Git LFS endpoint
+    """
+    objects = []
+    data = json.dumps({'operation': 'download', 'objects': oid_list})
+    headers = dict(POST_HEADERS)
+    headers.update(lfs_auth_info)
+    req = Request(lfs_url+'/objects/batch', data.encode('ascii'), headers)
+
+    try:
+        resp = json.loads(urlopen(req).read().decode('ascii'))
+        assert 'objects' in resp, resp
+        objects.extend(resp['objects'])
+
+    except HTTPError as err:
+        if err.code != 413:
+            raise
+
+        # It is possible for remote server to respond with 413 Request Entity
+        # Too Large. If that happens try to request for two sets of oids so
+        # request is smaller.
+        objects.extend(
+            fetch_urls(lfs_url, lfs_auth_info, oid_list[:len(oid_list) // 2])
+        )
+        objects.extend(
+            fetch_urls(lfs_url, lfs_auth_info, oid_list[len(oid_list) // 2:])
+        )
+
+    return objects
+
+
+def fetch(git_repo, checkout_dir=None, verbose=0):
+    """Download all the files managed by Git LFS
+    """
+    git_dir = git_repo+'/.git' if os.path.isdir(git_repo+'/.git') else git_repo
+    checkout_dir = checkout_dir or git_repo
+    if checkout_dir == git_dir:
+        print('Can\'t checkout into a bare repo, please provide a valid '
+              'checkout_dir')
+        raise SystemExit(1)
+    checkout_git_dir = checkout_dir+'/.git'
+    if not os.path.isdir(checkout_git_dir):
+        with TempDir(dir=checkout_dir) as d:
+            check_output(['git', 'clone', '-ns', git_repo, d], stderr=STDOUT)
+            os.rename(d+'/.git', checkout_git_dir)
+            with in_dir(checkout_dir):
+                check_output(['git', 'reset', 'HEAD'])
+
+    # Read the LFS metadata
+    found = False
+    oid_list, lfs_files = [], {}
+    for path, oid, size in read_lfs_metadata(checkout_dir):
+        found = True
+        dst = checkout_dir+'/'+path
+
+        # Skip the file if it looks like it's already there
+        with ignore_missing_file():
+            if os.stat(dst).st_size == size:
+                if verbose > 1:
+                    print('Skipping', path, '(already present)')
+                continue
+
+        # If we have the file in the cache, link to it
+        with ignore_missing_file():
+            cached = get_cache_dir(git_dir, oid)+'/'+oid
+            if os.stat(cached).st_size == size:
+                force_link(cached, dst)
+                if verbose > 0:
+                    print('Linked', path, 'from the cache')
+                continue
+
+        oid_list.append(dict(oid=oid, size=size))
+        lfs_files[(oid, size)] = path
+
+    if not found:
+        print('This repository does not seem to use LFS.')
+        return
+
+    if not oid_list:
+        if verbose > 0:
+            print('Nothing to fetch.')
+        return
+
+    # Fetch the URLs of the files from the Git LFS endpoint
+    lfs_url, lfs_auth_info = get_lfs_endpoint_url(git_repo, checkout_dir)
+
+    if verbose > 0:
+        print('Fetching URLs from %s ...' % lfs_url)
+    if verbose > 1:
+        print('Authorization info for URL: %s' % lfs_auth_info)
+        print('oid_list: %s' % pprint.pformat(oid_list))
+    objects = fetch_urls(lfs_url, lfs_auth_info, oid_list)
+
+    # Download the files
+    tmp_dir = git_dir+'/lfs/tmp'
+    if not os.path.exists(tmp_dir):
+        os.makedirs(tmp_dir)
+    for obj in objects:
+        oid, size = (obj['oid'], obj['size'])
+        path = lfs_files[(oid, size)]
+        cache_dir = get_cache_dir(git_dir, oid)
+
+        # Download into tmp_dir
+        with TempFile(dir=tmp_dir) as f:
+            url = obj['actions']['download']['href']
+            head = obj['actions']['download']['header']
+            print('Downloading %s (%s bytes) from %s...' %
+                  (path, size, url if verbose > 0 else url[:40]))
+            h = urlopen(Request(url, headers=head))
+            while True:
+                buf = h.read(10240)
+                if not buf:
+                    break
+                f.write(buf)
+
+            # Move to cache_dir
+            dst1 = cache_dir+'/'+oid
+            if not os.path.exists(cache_dir):
+                os.makedirs(cache_dir)
+            if verbose > 1:
+                print('temp download file: ' + f.name)
+                print('cache file name: ' + dst1)
+            os.rename(f.name, dst1)
+
+        # Copy into checkout_dir
+        dst2 = checkout_dir+'/'+path
+        force_link(dst1, dst2)

env/lib/python3.13/site-packages/git_lfs/__main__.py

@@ -0,0 +1,14 @@
+from __future__ import division, print_function, unicode_literals
+
+import argparse
+
+from . import fetch
+
+p = argparse.ArgumentParser()
+p.add_argument('git_repo', nargs='?', default='.',
+               help="if it's bare you need to provide a checkout_dir")
+p.add_argument('checkout_dir', nargs='?')
+p.add_argument('-v', '--verbose', action='count', default=0)
+args = p.parse_args()
+
+fetch(args.git_repo, args.checkout_dir, args.verbose)

env/lib/python3.13/site-packages/git_lfs/utils.py

@@ -0,0 +1,57 @@
+from __future__ import division, print_function, unicode_literals
+
+from contextlib import contextmanager
+import os
+import shutil
+from tempfile import mkdtemp, NamedTemporaryFile
+
+
+@contextmanager
+def ignore_missing_file(filename=None):
+    try:
+        yield
+    except OSError as e:
+        if e.errno != 2 or filename and e.filename != filename:
+            raise
+
+
+@contextmanager
+def in_dir(dirpath):
+    # WARNING not thread-safe
+    prev = os.path.abspath(os.getcwd())
+    os.chdir(dirpath)
+    try:
+        yield
+    finally:
+        os.chdir(prev)
+
+
+@contextmanager
+def TempDir(**kw):
+    """mkdtemp wrapper that automatically deletes the directory
+    """
+    d = mkdtemp(**kw)
+    try:
+        yield d
+    finally:
+        with ignore_missing_file(d):
+            shutil.rmtree(d)
+
+
+@contextmanager
+def TempFile(**kw):
+    """NamedTemporaryFile wrapper that doesn't fail if you (re)move the file
+    """
+    f = NamedTemporaryFile(**kw)
+    try:
+        yield f
+    finally:
+        with ignore_missing_file():
+            f.__exit__(None, None, None)
+
+
+def force_link(source, link_name):
+    # WARNING not atomic
+    with ignore_missing_file():
+        os.remove(link_name)
+    os.link(source, link_name)

env/lib/python3.13/site-packages/hf_xet/hf_xet.abi3.so

@@ -0,0 +1,3 @@
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+oid sha256:bdd7544701ee404522257b90966d4d678ee4396e5c939dca15d0f7dacda60e66
+size 8310504

env/lib/python3.13/site-packages/huggingface_hub/__pycache__/hf_api.cpython-313.pyc

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+oid sha256:fde41b3aebdb56ad5e4407b2dbee9efc18b76f12f53c2ecb10c420564883c35b
+size 461316

env/lib/python3.13/site-packages/huggingface_hub/inference/__pycache__/_client.cpython-313.pyc

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+oid sha256:d273ef960f2c7532cd8e2210b176161c278ee176f13d1e90939d7179717c05bd
+size 141861

env/lib/python3.13/site-packages/huggingface_hub/inference/_generated/__pycache__/_async_client.cpython-313.pyc

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+oid sha256:48a66091d13caecc53436350de9dea233877c2e8bf45303671d3246546ab70b4
+size 147527

env/lib/python3.13/site-packages/idna-3.11.dist-info/licenses/LICENSE.md

@@ -0,0 +1,31 @@
+BSD 3-Clause License
+
+Copyright (c) 2013-2025, Kim Davies and contributors.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are
+met:
+
+1. Redistributions of source code must retain the above copyright
+   notice, this list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright
+   notice, this list of conditions and the following disclaimer in the
+   documentation and/or other materials provided with the distribution.
+
+3. Neither the name of the copyright holder nor the names of its
+   contributors may be used to endorse or promote products derived from
+   this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED
+TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

env/lib/python3.13/site-packages/idna/__pycache__/idnadata.cpython-313.pyc

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e8914670e4b3200b04ddfe27d41ef8b187d45c48bc1e7045fcb87adadca9b095
+size 100923

env/lib/python3.13/site-packages/idna/__pycache__/uts46data.cpython-313.pyc

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+oid sha256:0ba051beb24a42367b378373eb2239a3955b8acd9983bd4f6a5e293f9bbc21f4
+size 162021

env/lib/python3.13/site-packages/pip-25.1.1.dist-info/licenses/AUTHORS.txt

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+@Switch01
+A_Rog
+Aakanksha Agrawal
+Abhinav Sagar
+ABHYUDAY PRATAP SINGH
+abs51295
+AceGentile
+Adam Chainz
+Adam Tse
+Adam Turner
+Adam Wentz
+admin
+Adolfo Ochagavía
+Adrien Morison
+Agus
+ahayrapetyan
+Ahilya
+AinsworthK
+Akash Srivastava
+Alan Yee
+Albert Tugushev
+Albert-Guan
+albertg
+Alberto Sottile
+Aleks Bunin
+Ales Erjavec
+Alethea Flowers
+Alex Gaynor
+Alex Grönholm
+Alex Hedges
+Alex Loosley
+Alex Morega
+Alex Stachowiak
+Alexander Regueiro
+Alexander Shtyrov
+Alexandre Conrad
+Alexey Popravka
+Aleš Erjavec
+Alli
+Ami Fischman
+Ananya Maiti
+Anatoly Techtonik
+Anders Kaseorg
+Andre Aguiar
+Andreas Lutro
+Andrei Geacar
+Andrew Gaul
+Andrew Shymanel
+Andrey Bienkowski
+Andrey Bulgakov
+Andrés Delfino
+Andy Freeland
+Andy Kluger
+Ani Hayrapetyan
+Aniruddha Basak
+Anish Tambe
+Anrs Hu
+Anthony Sottile
+Antoine Musso
+Anton Ovchinnikov
+Anton Patrushev
+Anton Zelenov
+Antonio Alvarado Hernandez
+Antony Lee
+Antti Kaihola
+Anubhav Patel
+Anudit Nagar
+Anuj Godase
+AQNOUCH Mohammed
+AraHaan
+arena
+arenasys
+Arindam Choudhury
+Armin Ronacher
+Arnon Yaari
+Artem
+Arun Babu Neelicattu
+Ashley Manton
+Ashwin Ramaswami
+atse
+Atsushi Odagiri
+Avinash Karhana
+Avner Cohen
+Awit (Ah-Wit) Ghirmai
+Baptiste Mispelon
+Barney Gale
+barneygale
+Bartek Ogryczak
+Bastian Venthur
+Ben Bodenmiller
+Ben Darnell
+Ben Hoyt
+Ben Mares
+Ben Rosser
+Bence Nagy
+Benjamin Peterson
+Benjamin VanEvery
+Benoit Pierre
+Berker Peksag
+Bernard
+Bernard Tyers
+Bernardo B. Marques
+Bernhard M. Wiedemann
+Bertil Hatt
+Bhavam Vidyarthi
+Blazej Michalik
+Bogdan Opanchuk
+BorisZZZ
+Brad Erickson
+Bradley Ayers
+Bradley Reynolds
+Branch Vincent
+Brandon L. Reiss
+Brandt Bucher
+Brannon Dorsey
+Brett Randall
+Brett Rosen
+Brian Cristante
+Brian Rosner
+briantracy
+BrownTruck
+Bruno Oliveira
+Bruno Renié
+Bruno S
+Bstrdsmkr
+Buck Golemon
+burrows
+Bussonnier Matthias
+bwoodsend
+c22
+Caleb Brown
+Caleb Martinez
+Calvin Smith
+Carl Meyer
+Carlos Liam
+Carol Willing
+Carter Thayer
+Cass
+Chandrasekhar Atina
+Charlie Marsh
+charwick
+Chih-Hsuan Yen
+Chris Brinker
+Chris Hunt
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+Chris Kuehl
+Chris Markiewicz
+Chris McDonough
+Chris Pawley
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+Christopher Hunt
+Christopher Snyder
+chrysle
+cjc7373
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+Claudio Jolowicz
+Clay McClure
+Cody
+Cody Soyland
+Colin Watson
+Collin Anderson
+Connor Osborn
+Cooper Lees
+Cooper Ry Lees
+Cory Benfield
+Cory Wright
+Craig Kerstiens
+Cristian Sorinel
+Cristina
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