Lama Cleaner

A free and open-source inpainting tool powered by SOTA AI model.

total download version Open in Colab Hugging Face Spaces python version version

https://user-images.githubusercontent.com/3998421/196976498-ba1ad3ab-fa18-4c55-965f-5c6683141375.mp4 ## Features - Completely free and open-source, fully self-hosted, support CPU & GPU - [Windows 1-Click Installer](https://lama-cleaner-docs.vercel.app/install/windows_1click_installer) - Classical image inpainting algorithm powered by [cv2](https://docs.opencv.org/3.4/df/d3d/tutorial_py_inpainting.html) - Multiple SOTA AI [models](https://lama-cleaner-docs.vercel.app/models/lama) - Various inpainting [strategy](https://lama-cleaner-docs.vercel.app/features/inpainting_strategy) - Run as a [desktop application](https://lama-cleaner-docs.vercel.app/features/desktop_app) - [Interactive Segmentation](https://lama-cleaner-docs.vercel.app/features/Interactive_segmentation) on any object. - More features at [lama-cleaner-docs](https://lama-cleaner-docs.vercel.app/) ## Quick Start Lama Cleaner make it easy to use SOTA AI model in just two commands: ```bash pip install lama-cleaner lama-cleaner --model=lama --device=cpu --port=8080 ``` That's it, Lama Cleaner is now running at http://localhost:8080 See all command line arguments at [lama-cleaner-docs](https://lama-cleaner-docs.vercel.app/install/pip) ## Development Only needed if you plan to modify the frontend and recompile yourself. ### Frontend Frontend code are modified from [cleanup.pictures](https://github.com/initml/cleanup.pictures), You can experience their great online services [here](https://cleanup.pictures/). - Install dependencies:`cd lama_cleaner/app/ && yarn` - Start development server: `yarn start` - Build: `yarn build`