A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting

Project Page | Paper | Online Demo(OpenXlab)

This README provides a step-by-step guide to download the repository, set up the required virtual environment named "PowerPaint" using conda, and run PowerPaint with or without ControlNet.

🚀 News

December 18, 2023

Enhanced PowerPaint Model

We are delighted to announce the release of more stable model weights. These refined weights can now be accessed on Hugging Face. The gradio_PowerPaint.py file and Online Demo have also been updated as part of this release.

Stronger Model Weights Coming Soon！

Getting Started

# Clone the Repository
git clone https://github.com/zhuang2002/PowerPaint.git

# Navigate to the Repository
cd powerpaint

# Create Virtual Environment with Conda
conda create --name PowerPaint python=3.9
conda activate PowerPaint

# Install Dependencies
pip install -r requirements.txt

# Create Models Folder
mkdir models

# Set up Git LFS
git lfs install

# Clone PowerPaint Model
git lfs clone https://huggingface.co/JunhaoZhuang/PowerPaint-v1/ ./models

Run PowerPaint

To run PowerPaint, execute the following command:

python gradio_PowerPaint.py

This command will launch the Gradio interface for PowerPaint.

Feel free to explore and create stunning images with PowerPaint!

BibTeX

@misc{zhuang2023task,
      title={A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting},
      author={Junhao Zhuang and Yanhong Zeng and Wenran Liu and Chun Yuan and Kai Chen},
      year={2023},
      eprint={2312.03594},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

JunhaoZhuang
/

PowerPaint-v1