generated from CC/VMServiceTemplate
58 lines
2.0 KiB
YAML
58 lines
2.0 KiB
YAML
#
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# WARNING: To install Immich, follow our guide: https://docs.immich.app/install/docker-compose
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#
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# 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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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: 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}:/data
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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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restart: always
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healthcheck:
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disable: false
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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, rocm, openvino, rknn] 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://docs.immich.app/features/ml-hardware-acceleration
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# file: hwaccel.ml.yml
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# service: cpu # set to one of [armnn, cuda, rocm, openvino, openvino-wsl, rknn] for accelerated inference - use the `-wsl` version for WSL2 where applicable
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volumes:
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- model-cache:/cache
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env_file:
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- .env
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restart: always
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healthcheck:
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disable: false
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redis:
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container_name: immich_redis
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image: docker.io/valkey/valkey:9@sha256:70739f85ad2ee01a726a965584a0f94895f01b0c60b3cc8b0aeef11eaa6888cf
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healthcheck:
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test: redis-cli ping | grep -q PONG || exit 1
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restart: always
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volumes:
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model-cache:
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