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README.md

Lama Cleaner

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

python 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 & 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