thankfulcarp/wan2gp-docker repository overview

version: '3.8'

services:
  wan2gp:
    image: thankfulcarp/wan2gp-docker:local # Or your specific image tag
    container_name: wan2gp_service
    restart: unless-stopped
    ports:
      - "7860:7860" # Maps port 7860 on the host to port 7860 in the container

    # --- GPU Configuration ---
    # Ensure you have the NVIDIA Docker runtime installed on your host.
    # For Docker Compose version 2.3+ / Docker Engine 19.03+:
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              capabilities: [gpu]
              # Optionally specify GPU count or IDs:
              # count: 1
              # device_ids: ['0']
    # For older Docker versions, you might need 'runtime: nvidia' directly under the service.
    # runtime: nvidia

    # --- Configuration Options: Choose Environment Variables OR Direct Bind Mounts ---

    # Option 1: Configure paths using W2GP_ Environment Variables
    # The start.sh script inside the container will create symlinks from /app/* to these paths.
    # Useful if you prefer to manage paths via ENV VARS or on platforms like RunPod.
    # If you use these, typically DO NOT use the corresponding direct bind mount in the 'volumes' section.
    environment:
      # --- Core Application Arguments (controlled by start.sh) ---
      # - W2GP_LISTEN=true # Default is true; set to "false" to disable --listen flag.
      # - W2GP_PROFILE=3   # No default profile is set by start.sh if this is unset; wgp.py uses its own default.
      # - W2GP_SERVER_PORT=7860
      # - W2GP_SERVER_NAME=0.0.0.0

      # --- Path Redirection via Symlinks (managed by start.sh) ---
      # These allow you to point the application's internal directories to external storage.
      # - W2GP_LORAS=/path/on/host_or_persistent_storage/loras
      # - W2GP_MODELS=/path/on/host_or_persistent_storage/models
      # - W2GP_SETTINGS=/path/on/host_or_persistent_storage/settings
      # - W2GP_OUTPUTS=/path/on/host_or_persistent_storage/outputs
      # Example for RunPod-like persistent storage:
      # - W2GP_LORAS=/workspace/wan2gp_data/loras
      # - W2GP_MODELS=/workspace/wan2gp_data/models
      # - W2GP_SETTINGS=/workspace/wan2gp_data/settings
      # - W2GP_OUTPUTS=/workspace/wan2gp_data/outputs

    # Option 2: Configure paths using Direct Bind Mounts
    # This directly maps a host directory to a directory inside the container.
    # If you use a direct bind mount for a path (e.g., /app/ckpts),
    # DO NOT set the corresponding W2GP_ environment variable (e.g., W2GP_MODELS).
    # The start.sh script will detect and prioritize direct mounts.
    volumes:
      # Syntax: - /path/on/your/host:/path/inside/container
      # Example for LoRAs:
      # - ./my_local_loras:/app/loras
      # Example for Models/Checkpoints:
      # - /home/your_user/wan2gp_data/models:/app/ckpts
      # Example for Settings:
      # - ./my_local_settings:/app/settings
      # Example for Outputs:
      # - ./my_local_outputs:/app/outputs

    # If you need to pass additional command-line arguments to wgp.py
    # that are not handled by the W2GP_ environment variables in start.sh,
    # you can add them here. They will be appended by "$@" in start.sh.
    # Please see the Wan2GP GitHub for available options - most can be set through the settings page.
    # command: ["--some-other-wgp-arg", "value"]