108 lines
3.7 KiB
YAML
108 lines
3.7 KiB
YAML
#
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# WARNING: Make sure to use the docker-compose.yml of the current release:
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#
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# https://github.com/immich-app/immich/releases/latest/download/docker-compose.yml
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#
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# The compose file on main may not be compatible with the latest release.
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#
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name: immich
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services:
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immich-server:
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container_name: immich_server
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image: 'ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release}'
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extends:
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file: 'hwaccel.transcoding.yml'
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service: '${HWACCEL_TRANSCODING:-cpu}' # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding
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volumes:
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# Do not edit the next line. If you want to change the media storage location on your system, edit the value of UPLOAD_LOCATION in the .env file
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- '${UPLOAD_LOCATION:-./upload}:/usr/src/app/upload'
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- '/etc/localtime:/etc/localtime:ro'
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env_file:
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- .env
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ports:
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- '2283:2283'
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depends_on:
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- redis
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- database
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restart: unless-stopped
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# healthcheck:
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# disable: false
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logging:
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driver: 'json-file'
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options:
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max-size: '${LOG_MAX_SIZE:-5m}'
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max-file: '${LOG_MAX_FILE:-5}'
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immich-machine-learning:
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container_name: immich_machine_learning
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# For hardware acceleration, add one of -[armnn, cuda, openvino] to the image tag.
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# Example tag: ${IMMICH_VERSION:-release}-cuda
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image: 'ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}'
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extends: # uncomment this section for hardware acceleration - see https://immich.app/docs/features/ml-hardware-acceleration
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file: 'hwaccel.ml.yml'
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service: '${HWACCEL_ML:-cpu}' # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference - use the `-wsl` version for WSL2 where applicable
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volumes:
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- '${MODEL_CACHE_LOCATION:-./model-cache}:/cache'
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env_file:
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- .env
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restart: unless-stopped
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# healthcheck:
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# disable: false
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logging:
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driver: 'json-file'
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options:
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max-size: '${LOG_MAX_SIZE:-5m}'
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max-file: '${LOG_MAX_FILE:-5}'
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redis:
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container_name: immich_redis
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image: 'docker.io/redis:6.2-alpine@sha256:2ba50e1ac3a0ea17b736ce9db2b0a9f6f8b85d4c27d5f5accc6a416d8f42c6d5'
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healthcheck:
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test: redis-cli ping || exit 1
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restart: unless-stopped
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logging:
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driver: 'json-file'
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options:
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max-size: '${LOG_MAX_SIZE:-5m}'
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max-file: '${LOG_MAX_FILE:-5}'
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database:
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container_name: immich_postgres
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image: docker.io/tensorchord/pgvecto-rs:pg14-v0.2.0@sha256:90724186f0a3517cf6914295b5ab410db9ce23190a2d9d0b9dd6463e3fa298f0
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environment:
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POSTGRES_PASSWORD: '${DB_PASSWORD}'
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POSTGRES_USER: '${DB_USERNAME}'
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POSTGRES_DB: '${DB_DATABASE_NAME}'
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POSTGRES_INITDB_ARGS: '--data-checksums'
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volumes:
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- '${DB_DATA_LOCATION:-./db}:/var/lib/postgresql/data'
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healthcheck:
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test: pg_isready --dbname='${DB_DATABASE_NAME}' --username='${DB_USERNAME}' || exit 1; Chksum="$$(psql --dbname='${DB_DATABASE_NAME}' --username='${DB_USERNAME}' --tuples-only --no-align --command='SELECT COALESCE(SUM(checksum_failures), 0) FROM pg_stat_database')"; echo "checksum failure count is $$Chksum"; [ "$$Chksum" = '0' ] || exit 1
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interval: 5m
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#start_interval: 30s
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start_period: 5m
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command:
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[
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'postgres',
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'-c',
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'shared_preload_libraries=vectors.so',
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'-c',
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'search_path="$$user", public, vectors',
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'-c',
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'logging_collector=on',
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'-c',
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'max_wal_size=2GB',
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'-c',
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'shared_buffers=512MB',
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'-c',
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'wal_compression=on',
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]
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restart: unless-stopped
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logging:
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driver: 'json-file'
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options:
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max-size: '${LOG_MAX_SIZE:-5m}'
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max-file: '${LOG_MAX_FILE:-5}'
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