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    Magic Clothing (ACM Multimedia 2024)

    This repository is the official implementation of Magic Clothing

    Magic Clothing is a branch version of OOTDiffusion, focusing on controllable garment-driven image synthesis

    Magic Clothing: Controllable Garment-Driven Image Synthesis [arXiv paper]
    Weifeng Chen*, Tao Gu*, Yuhao Xu*+, Chengcai Chen
    * Equal contribution + Corresponding author
    Xiao-i Research

    ???? We are continuing to improve this project. Please check earlyAccess branch for new features and updates : )

    News

    ?? [2024/4/16] Our paper is available now!

    ?? [2024/3/8] We release the model weights trained on the 768 resolution. The strength of clothing and text prompts can be independently adjusted.

    ?? Hugging Face link

    ?? [2024/2/28] We support IP-Adapter-FaceID with ControlNet-Openpose now! A portrait and a reference pose image can be used as additional conditions.

    Have fun with gradio_ipadapter_openpose.py

    ?? [2024/2/23] We support IP-Adapter-FaceID now! A portrait image can be used as an additional condition.

    Have fun with gradio_ipadapter_faceid.py

    demo? workflow?

    Installation

    1. Clone the repository
    git clone https://github.com/ShineChen1024/MagicClothing.git
    1. Create a conda environment and install the required packages
    conda create -n magicloth python==3.10
    conda activate magicloth
    pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2
    pip install -r requirements.txt

    Inference

    1. Python demo

    512 weights

    python inference.py --cloth_path [your cloth path] --model_path [your model checkpoints path]

    768 weights

    python inference.py --cloth_path [your cloth path] --model_path [your model checkpoints path] --enable_cloth_guidance
    1. Gradio demo

    512 weights

    python gradio_generate.py --model_path [your model checkpoints path] 

    768 weights

    python gradio_generate.py --model_path [your model checkpoints path] --enable_cloth_guidance

    Citation

    @article{chen2024magic,
      title={Magic Clothing: Controllable Garment-Driven Image Synthesis},
      author={Chen, Weifeng and Gu, Tao and Xu, Yuhao and Chen, Chengcai},
      journal={arXiv preprint arXiv:2404.09512},
      year={2024}
    }
    

    TODO List

    • Paper
    • Gradio demo
    • Inference code
    • Model weights
    • Training code

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    Official implementation of Magic Clothing: Controllable Garment-Driven Image Synthesis

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