7114f988b4cefaa66f55dbaf12e7e700d32954d1
Lama-cleaner: Image inpainting tool powered by LaMa
This project is mainly used for selfhosting LaMa model, some interaction improvements may be added later.
Quick Start
- Install requirements:
pip3 install -r requirements.txt - Start server:
python3 main.py --device=cuda --port=8080
Development
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 (cpu)
docker build -f Dockerfile -t lamacleaner .
docker run -p 8080:8080 -e cache_dir=/app/models -v models:/app/models -v $(pwd):/app --rm lamacleaner python3 main.py --device=cpu --port=8080
Docker (gpu)
docker build -f Dockerfile -t lamacleaner .
docker run --gpus all -p 8080:8080 -e cache_dir=/app/models -v models:/app/models -v $(pwd):/app --rm lamacleaner python3 main.py --device=cuda --port=8080
Then open http://localhost:8080
Description
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.
Languages
Python
87.7%
TypeScript
11.9%