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  license: apache-2.0
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  license: apache-2.0
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+ # A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting
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+
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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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+ **Feel free to try it and give it a star!**:star:
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+
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+ ## 🚀 News
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+ **April 7, 2024**:fire:
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+ - We open source the model weights and code for PowerPaint v2.[![Open in OpenXLab](https://cdn-static.openxlab.org.cn/header/openxlab_models.svg)](https://openxlab.org.cn/models/detail/zhuangjunhao/PowerPaint_v2)[![HuggingFace Model](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Model-blue)](https://huggingface.co/JunhaoZhuang/PowerPaint_v2)
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+ **April 6, 2024**:fire:
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+
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+ - 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**.
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+ - Tips: We preserve the cross-attention layer that was deleted by BrushNet for the task prompts input.
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+
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+ | | Object insertion | Object Removal|Shape-guided Object Insertion|Outpainting|
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+ |-----------------|-----------------|-----------------|-----------------|-----------------|
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+ | Original Image| ![cropinput](https://github.com/Sanster/IOPaint/assets/108931120/bf91a1e8-8eaf-4be6-b47d-b8e43c9d182a)|![cropinput](https://github.com/Sanster/IOPaint/assets/108931120/c7e56119-aa57-4761-b6aa-56f8a0b72456)|![image](https://github.com/Sanster/IOPaint/assets/108931120/cbbfe84e-2bf1-425b-8349-f7874f2e978c)|![cropinput](https://github.com/Sanster/IOPaint/assets/108931120/134bb707-0fe5-4d22-a0ca-d440fa521365)|
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+ | Output| ![image](https://github.com/Sanster/IOPaint/assets/108931120/ee777506-d336-4275-94f6-31abf9521866)| ![image](https://github.com/Sanster/IOPaint/assets/108931120/e9d8cf6c-13b8-443c-b327-6f27da54cda6)|![image](https://github.com/Sanster/IOPaint/assets/108931120/cc3008c9-37dd-4d98-ad43-58f67be872dc)|![image](https://github.com/Sanster/IOPaint/assets/108931120/18d8ca23-e6d7-4680-977f-e66341312476)|
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+ **December 22, 2023**:wrench:
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+
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+ - 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.
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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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+
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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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+
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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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+
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+ # Navigate to the Repository
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+ cd projects/powerpaint
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+
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+ # Create Virtual Environment with Conda
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+ conda create --name PowerPaint python=3.9
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+ conda activate PowerPaint
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+
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+ # Install Dependencies
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+ pip install -r requirements.txt
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+ ```
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+ ## PowerPaint v2
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+
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+ ```bash
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+ python gradio_PowerPaint_BrushNet.py
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+ ```
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+
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+ ## PowerPaint v1
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+ ```bash
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+ # Create Models Folder
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+ mkdir models
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+
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+ # Set up Git LFS
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+ git lfs install
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+
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+ # Clone PowerPaint Model
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+ git lfs clone https://huggingface.co/JunhaoZhuang/PowerPaint-v1/ ./models
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+
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+ python gradio_PowerPaint.py
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+ ```
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+ This command will launch the Gradio interface for PowerPaint.
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+ Feel free to explore and edit images with PowerPaint!
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+
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+ ## BibTeX
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+
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+ ```
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+ @misc{zhuang2023task,
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+ title={A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting},
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+ author={Junhao Zhuang and Yanhong Zeng and Wenran Liu and Chun Yuan and Kai Chen},
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+ year={2023},
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+ eprint={2312.03594},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CV}
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+ }
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+ ```