docker-compose-all.yml

services:
  sovits-svc:
    container_name: sovits-svc
    build: 
      context: ./sovits_docker
      dockerfile: Dockerfile
      
    volumes:
    
      # X11 display socket
      # Optionally, run "sudo xhost +local:" on the host system to allow local connections to the X11 dispay server.
      - /tmp/.X11-unix:/tmp/.X11-unix 
      # - /home/$(id -nu)/.Xauthority:/home/sovits/.Xauthority # or, uncomment this line, which is not recommended.
      
      # shared folder. Make sure the host volume has correct read/write permissions for sovits
      - ./share:/home/sovits/share
      
      # UVR5 and pytorch persistence directory. Downloaded models will be stored here.
      - ./uvr5:/home/sovits/uvr5
      - ./torch_checkpoints:/home/sovits/.cache/torch/
      
      # Scripts folder (read only)
      - ./scripts:/home/sovits/scripts:ro
      
      # ALSA devices passthrough. Will not work if any of your host's processes use ALSA.
      # - /dev/snd:/dev/snd 
      
      # Pulseaudio passthrough. Will likely work if you are using pulseaudio on your host system. 
      # This setup may require modifications depending on your system.
      - ${XDG_RUNTIME_DIR}/pulse/native:${XDG_RUNTIME_DIR}/pulse/native
      - /home/$(id -nu)/.config/pulse/cookie:/home/sovits/.config/pulse/cookie
      
    env_file: .env
    
    environment:
      - DISPLAY=${DISPLAY}
      - RUN_UVR5=true # modify to start/stop the UVR5 GUI 
      - RUN_SOVITS_GUI=true # modify to start/stop the SoVITS GUI
      
      # Pulseaudio server socket, cookie, and the runtime directory.
      - PULSE_SERVER=unix:${XDG_RUNTIME_DIR}/pulse/native
      - PULSE_COOKIE=/home/sovits/.config/pulse/cookie
      - XDG_RUNTIME_DIR=${XDG_RUNTIME_DIR}
    
    # The container user will be added to the host's group "users" (or gid=1000)
    # If your host user's UID or GID is not 1000, the Dockerfile may require modifications to resolve pulseaudio user permissions
    group_add:
      - users
    
    # GPU device reservation
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]