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Update README.md
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README.md
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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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git clone https://github.com/zhuang2002/PowerPaint.git
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# Navigate to the Repository
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cd powerpaint
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# Create Virtual Environment with Conda
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conda create --name PowerPaint python=3.9
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# Install Dependencies
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pip install -r requirements.txt
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# Create Models Folder
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mkdir models
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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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## Run PowerPaint
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To run PowerPaint, execute the following command:
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```bash
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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
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## BibTeX
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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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## 🚀 News
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**April 7, 2024**:fire:
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- 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)
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**April 6, 2024**:fire:
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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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| | Object insertion | Object Removal|Shape-guided Object Insertion|Outpainting|
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|-----------------|-----------------|-----------------|-----------------|-----------------|
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| Original Image| ||||
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| Output| | |||
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**December 22, 2023**:wrench:
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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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<img src='https://github.com/open-mmlab/mmagic/assets/12782558/acd01391-c73f-4997-aafd-0869aebcc915'/>
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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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# Create Virtual Environment with Conda
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conda create --name PowerPaint python=3.9
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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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```bash
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python gradio_PowerPaint_BrushNet.py
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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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# Clone PowerPaint Model
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git lfs clone https://huggingface.co/JunhaoZhuang/PowerPaint-v1/ ./models
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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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## BibTeX
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