xiaozaa commited on
Commit
96426c9
1 Parent(s): f610e83

fix misc bug

Browse files
Files changed (4) hide show
  1. README.md +6 -0
  2. example/github.jpg +0 -0
  3. requirements.txt +1 -1
  4. tryon_inference.py +0 -2
README.md CHANGED
@@ -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
@@ -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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+
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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
example/github.jpg ADDED
requirements.txt CHANGED
@@ -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
@@ -97,4 +96,5 @@ bitsandbytes==0.44.1
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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
tryon_inference.py CHANGED
@@ -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,