Spaces:
Running
on
Zero
Running
on
Zero
fix misc bug
Browse files- README.md +6 -0
- example/github.jpg +0 -0
- requirements.txt +1 -1
- tryon_inference.py +0 -2
README.md
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@@ -27,11 +27,14 @@ Hugging Face: 🤗 [catvton-flux-alpha](https://huggingface.co/xiaozaa/catvton-f
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The model weights are trained on the [VITON-HD](https://github.com/shadow2496/VITON-HD) dataset.
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## Prerequisites
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```bash
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bash
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conda create -n flux python=3.10
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conda activate flux
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pip install -r requirements.txt
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```
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## Usage
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@@ -49,7 +52,10 @@ Run the following command to start a gradio demo:
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```bash
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python app.py
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```
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## TODO:
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- [x] Release the FID score
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The model weights are trained on the [VITON-HD](https://github.com/shadow2496/VITON-HD) dataset.
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## Prerequisites
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Make sure you are runing the code with VRAM >= 40GB. (I run all my experiments on a 80GB GPU, lower VRAM will cause OOM error. Will support lower VRAM in the future.)
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```bash
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bash
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conda create -n flux python=3.10
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conda activate flux
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pip install -r requirements.txt
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huggingface-cli login
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```
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## Usage
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```bash
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python app.py
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```
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Gradio demo:
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<!-- Option 2: Using a thumbnail linked to the video -->
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[![Demo](example/github.jpg)](example/github.mp4)
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## TODO:
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- [x] Release the FID score
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example/github.jpg
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requirements.txt
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@@ -24,7 +24,6 @@ fsspec==2024.6.1
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gitdb==4.0.11
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GitPython==3.1.43
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hjson==3.1.0
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huggingface-hub==0.24.5
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humanfriendly==10.0
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idna==3.7
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importlib_metadata==8.2.0
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gradio==5.6.0
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gradio_client==1.4.3
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prodigyopt
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git+https://github.com/huggingface/diffusers.git
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gitdb==4.0.11
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GitPython==3.1.43
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hjson==3.1.0
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humanfriendly==10.0
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idna==3.7
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importlib_metadata==8.2.0
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gradio==5.6.0
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gradio_client==1.4.3
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prodigyopt
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huggingface-hub
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git+https://github.com/huggingface/diffusers.git
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tryon_inference.py
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@@ -104,8 +104,6 @@ def main():
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image_path=args.image,
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mask_path=args.mask,
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garment_path=args.garment,
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output_garment_path=args.output_garment,
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output_tryon_path=args.output_tryon,
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num_steps=args.steps,
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guidance_scale=args.guidance_scale,
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seed=args.seed,
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image_path=args.image,
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mask_path=args.mask,
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garment_path=args.garment,
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num_steps=args.steps,
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guidance_scale=args.guidance_scale,
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seed=args.seed,
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