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  # A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting
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- **[Project Page](https://powerpaint.github.io/) | [Paper](https://arxiv.org/abs/2312.03594)**
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  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.
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- **Stronger Model Weights and Online Demo Coming Soon!**
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  <img src='https://github.com/open-mmlab/mmagic/assets/12782558/acd01391-c73f-4997-aafd-0869aebcc915'/>
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  ## Getting Started
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  ```bash
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  # Clone the Repository
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- git clone https://github.com/open-mmlab/mmagic.git
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  # Navigate to the Repository
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  cd projects/powerpaint
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  archivePrefix={arXiv},
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  primaryClass={cs.CV}
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  }
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- ```
 
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  # A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting
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+ ### [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)
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  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.
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+ ## 🚀 News
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+ **December 18, 2023**
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+ *Enhanced PowerPaint Model*
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+ - 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.
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+ ## Next
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+ **Stronger Model Weights Coming Soon!**
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+ ________________
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  <img src='https://github.com/open-mmlab/mmagic/assets/12782558/acd01391-c73f-4997-aafd-0869aebcc915'/>
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  ## Getting Started
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  ```bash
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  # Clone the Repository
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+ git clone https://github.com/zhuang2002/PowerPaint.git
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  # Navigate to the Repository
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  cd projects/powerpaint
 
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  archivePrefix={arXiv},
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  primaryClass={cs.CV}
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  }
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+ ```