Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.
| .github | ||
| assets | ||
| docker | ||
| lama_cleaner | ||
| scripts | ||
| .gitignore | ||
| build_docker.sh | ||
| LICENSE | ||
| main.py | ||
| publish.sh | ||
| README.md | ||
| requirements-dev.txt | ||
| requirements.txt | ||
| setup.py | ||
Lama Cleaner
A free and open-source inpainting tool powered by SOTA AI model.
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 & 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.
- Docker Image
- More features at lama-cleaner-docs
Quick Start
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 http://localhost:8080
See all command line arguments at lama-cleaner-docs
Development
Only needed if you plan to modify the frontend and recompile yourself.
Frontend
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