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## Features
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## Features
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- Completely free and open-source, fully self-hosted, support CPU & GPU
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- Completely free and open-source, fully self-hosted, support CPU & GPU & M1/2
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- [Windows 1-Click Installer](https://lama-cleaner-docs.vercel.app/install/windows_1click_installer)
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- [Windows 1-Click Installer](https://lama-cleaner-docs.vercel.app/install/windows_1click_installer)
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- Classical image inpainting algorithm powered by [cv2](https://docs.opencv.org/3.4/df/d3d/tutorial_py_inpainting.html)
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- Multiple SOTA AI [models](https://lama-cleaner-docs.vercel.app/models)
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- Multiple SOTA AI [models](https://lama-cleaner-docs.vercel.app/models)
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- Various inpainting [strategy](https://lama-cleaner-docs.vercel.app/features/inpainting_strategy)
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- Erase model: LaMa/LDM/ZITS/MAT/FcF/Manga
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- Run as a [desktop application](https://lama-cleaner-docs.vercel.app/features/desktop_app)
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- Erase and Replace model: Stable Diffusion/Paint by Example
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- [Interactive Segmentation](https://lama-cleaner-docs.vercel.app/features/Interactive_segmentation) on any object.
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- [Plugins](https://lama-cleaner-docs.vercel.app/plugins) for post-processing:
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- [RemoveBG](https://github.com/danielgatis/rembg): Remove images background
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- [RealESRGAN](https://github.com/xinntao/Real-ESRGAN): Super Resolution
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- [GFPGAN](https://github.com/TencentARC/GFPGAN): Face Restoration
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- [RestoreFormer](https://github.com/wzhouxiff/RestoreFormer): Face Restoration
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- More features at [lama-cleaner-docs](https://lama-cleaner-docs.vercel.app/)
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- More features at [lama-cleaner-docs](https://lama-cleaner-docs.vercel.app/)
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## Quick Start
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## Quick Start
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