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| # A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting | |
| ### [Project Page](https://powerpaint.github.io/) | [Paper](https://arxiv.org/abs/2312.03594) | [Online Demo(OpenXlab)](https://openxlab.org.cn/apps/detail/rangoliu/PowerPaint#basic-information) | |
| 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. | |
| **Feel free to try it and give it a star!**:star: | |
| ## 🚀 News | |
| **May 22, 2024**:fire: | |
| - We have open-sourced the model weights for PowerPaint v2-1, rectifying some existing issues that were present during the training process of version 2. [](https://huggingface.co/JunhaoZhuang/PowerPaint-v2-1) | |
| **April 7, 2024**:fire: | |
| - We open source the model weights and code for PowerPaint v2. [](https://openxlab.org.cn/models/detail/zhuangjunhao/PowerPaint_v2) [](https://huggingface.co/JunhaoZhuang/PowerPaint_v2) | |
| **April 6, 2024**: | |
| - We have retrained a new PowerPaint, taking inspiration from Brushnet. The [Online Demo](https://openxlab.org.cn/apps/detail/rangoliu/PowerPaint) has been updated accordingly. **We plan to release the model weights and code as open source in the next few days**. | |
| - Tips: We preserve the cross-attention layer that was deleted by BrushNet for the task prompts input. | |
| | | Object insertion | Object Removal|Shape-guided Object Insertion|Outpainting| | |
| |-----------------|-----------------|-----------------|-----------------|-----------------| | |
| | Original Image| |||| | |
| | Output| | ||| | |
| **December 22, 2023**:wrench: | |
| - The logical error in loading ControlNet has been rectified. The `gradio_PowerPaint.py` file and [Online Demo](https://openxlab.org.cn/apps/detail/rangoliu/PowerPaint) have also been updated. | |
| **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](https://huggingface.co/JunhaoZhuang/PowerPaint-v1/tree/main). The `gradio_PowerPaint.py` file and [Online Demo](https://openxlab.org.cn/apps/detail/rangoliu/PowerPaint) have also been updated as part of this release. | |
| ________________ | |
| <img src='https://github.com/open-mmlab/mmagic/assets/12782558/acd01391-c73f-4997-aafd-0869aebcc915'/> | |
| ## Getting Started | |
| ```bash | |
| # Clone the Repository | |
| git clone https://github.com/zhuang2002/PowerPaint.git | |
| # Navigate to the Repository | |
| cd projects/powerpaint | |
| # Create Virtual Environment with Conda | |
| conda create --name PowerPaint python=3.9 | |
| conda activate PowerPaint | |
| # Install Dependencies | |
| pip install -r requirements.txt | |
| ``` | |
| ## PowerPaint v2 | |
| ```bash | |
| python gradio_PowerPaint_BrushNet.py | |
| ``` | |
| ## PowerPaint v1 | |
| ```bash | |
| # 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 | |
| python gradio_PowerPaint.py | |
| ``` | |
| This command will launch the Gradio interface for PowerPaint. | |
| Feel free to explore and edit 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} | |
| } | |
| ``` | |