docker-compose.yml

services:
  lightdiffusion:
    build:
      context: .
      dockerfile: Dockerfile
      args:
        # Specify target GPU architectures for CUDA extension builds
        # 8.0: A100, 8.6: RTX 30xx, 8.9: RTX 40xx, 9.0: H100, 12.0: RTX 50xx (Blackwell)
        # Customize based on your GPU: TORCH_CUDA_ARCH_LIST: "12.0" for RTX 50xx only
        TORCH_CUDA_ARCH_LIST: "8.0;8.6;8.9;9.0;12.0"
        INSTALL_STABLE_FAST: "0"
        INSTALL_OLLAMA: "0"
        INSTALL_SAGEATTENTION: "0"
        INSTALL_SPARGEATTN: "0"
    ports:
      - "7860:7860"  # FastAPI backend serving the built React UI
    volumes:
      # Mount output directory to persist generated images
      - ./output:/app/output
      # Mount checkpoints directory for model files
      - ./include/checkpoints:/app/include/checkpoints
      # Mount other model directories
      - ./include/loras:/app/include/loras
      - ./include/embeddings:/app/include/embeddings
      - ./include/ESRGAN:/app/include/ESRGAN
      - ./include/yolos:/app/include/yolos
    environment:
      - PORT=7860
      - CUDA_VISIBLE_DEVICES=0
      - CUDA_HOME=/usr/local/cuda
      - PROMPT_ENHANCER_MODEL=qwen3:0.6b
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: 1
              capabilities: [ gpu ]
    restart: unless-stopped
    stdin_open: true
    tty: true