A free and open-source inpainting tool powered by SOTA AI model.
example-0.24.0.mp4
- Completely free and open-source, fully self-hosted, support CPU & GPU & M1/2
- Windows 1-Click Installer
- Native macOS app
- Multiple SOTA AI models
- Erase model: LaMa/LDM/ZITS/MAT/FcF/Manga
- Erase and Replace model: Stable Diffusion/Paint by Example
- Plugins for post-processing:
- RemoveBG: Remove images background
- RealESRGAN: Super Resolution
- GFPGAN: Face Restoration
- RestoreFormer: Face Restoration
- Segment Anything: Accurate and fast interactive object segmentation
- FileManager: Browse your pictures conveniently and save them directly to the output directory.
- More features at lama-cleaner-docs
Lama Cleaner make it easy to use SOTA AI model in just two commands:
# In order to use the GPU, install cuda version of pytorch first.
# pip install torch==1.13.1+cu117 torchvision==0.14.1 --extra-index-url https://download.pytorch.org/whl/cu117
pip install lama-cleaner
lama-cleaner --model=lama --device=cpu --port=8080
That's it, Lama Cleaner is now running at https://localhost:8080
See all command line arguments at lama-cleaner-docs
Only needed if you plan to modify the frontend and recompile yourself.
Frontend code are modified from cleanup.pictures, You can experience their great online services here.
- Install dependencies:
cd lama_cleaner/app/ && pnpm install
- Start development server:
pnpm start
- Build:
pnpm build