docker-compose.vaapi.yml

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# Linux VAAPI profile for Intel iGPU/QSV and AMD VAAPI.
#
# Usage:
#   cp .env.example .env
#   docker compose -f docker-compose.vaapi.yml up -d --build
#
# The worker discovers renderD* nodes and validates each encoder at startup.
# Override VAAPI_DEVICE when a host has more than one GPU. VIDEO_GID and
# RENDER_GID should match the host's `video`/`render` group IDs when the
# container needs explicit supplementary group access.
services:
  8mblocal:
    build:
      context: .
      dockerfile: Dockerfile
      args:
        BUILD_VERSION: "${APP_VERSION:-143.0.0.0}"
    image: jms1717/8mblocal:vaapi
    container_name: 8mblocal
    ports:
      - "8001:8001"
    # Keep the VAAPI profile's auto/memory upload behavior RAM-preferred too.
    shm_size: "${MEDIA_SHM_SIZE:-10g}"
    volumes:
      - ./uploads:/app/uploads
      - ./outputs:/app/outputs
      - ./state:/app/state
      - ./redis-data:/var/lib/redis
      - type: bind
        source: ./.env
        target: /app/.env
        bind:
          create_host_path: false
    devices:
      - /dev/dri:/dev/dri
    group_add:
      - "${VIDEO_GID:-44}"
      - "${RENDER_GID:-109}"
    environment:
      - REDIS_URL=redis://127.0.0.1:6379/0
      - ENV_FILE=/app/.env
      - SETTINGS_FILE=/app/state/settings.json
      - MEDIA_STORAGE=${MEDIA_STORAGE:-auto}
      - MEDIA_MEMORY_LIMIT_GB=${MEDIA_MEMORY_LIMIT_GB:-10}
      - HISTORY_FILE=/app/state/history.json
      - TMPDIR=/app/uploads/.tmp
      - VAAPI_DEVICE=${VAAPI_DEVICE:-}
      - WORKER_CONCURRENCY=${WORKER_CONCURRENCY:-auto}
    restart: unless-stopped