Lama-cleaner: Image inpainting tool powered by LaMa

This project is mainly used for selfhosting LaMa model, some interaction improvements may be added later.

• High resolution support
• Multi stroke support. Press and hold the cmd/ctrl key to enable multi stroke mode.
• Keep image EXIF data

Quick Start

• Install requirements: pip3 install -r requirements.txt
• Start server: python3 main.py --device=cuda --port=8080

Development

Only needed if you plan to modify the frontend and recompile yourself.

Fronted

Frontend code are modified from cleanup.pictures, You can experience their great online services here.

• Install dependencies:cd lama_cleaner/app/ && yarn
• Start development server: yarn dev
• Build: yarn build

Docker

Run within a Docker container. Set the CACHE_DIR to models location path. Optionally add a -d option to the docker run command below to run as a daemon.

Build Docker image

docker build -f Dockerfile -t lamacleaner .

Run Docker (cpu)

docker run -p 8080:8080 -e CACHE_DIR=/app/models -v  $(pwd)/models:/app/models -v $(pwd):/app --rm lamacleaner python3 main.py --device=cpu --port=8080

Run Docker (gpu)

docker run --gpus all -p 8080:8080 -e CACHE_DIR=/app/models -v $(pwd)/models:/app/models -v $(pwd):/app --rm lamacleaner python3 main.py --device=cuda --port=8080

Then open http://localhost:8080