Inital Adding of Compose Files
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17
compose_files/immich/.env
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17
compose_files/immich/.env
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# You can find documentation for all the supported env variables at https://immich.app/docs/install/environment-variables
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# The location where your uploaded files are stored
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UPLOAD_LOCATION=/mnt/backup/immich
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# The location where your database files are stored
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DB_DATA_LOCATION=/home/icke/immich/database
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# The Immich version to use. You can pin this to a specific version like "v1.71.0"
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IMMICH_VERSION=v1.105.1
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# Connection secret for postgres. You should change it to a random password
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DB_PASSWORD=postgres
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# The values below this line do not need to be changed
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###################################################################################
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DB_USERNAME=postgres
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DB_DATABASE_NAME=immich
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82
compose_files/immich/docker-compose.yml
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compose_files/immich/docker-compose.yml
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#
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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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version: "3.3"
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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}
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command: ['start.sh', 'immich']
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volumes:
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- ${UPLOAD_LOCATION}:/usr/src/app/upload
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- /etc/localtime:/etc/localtime:ro
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env_file:
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- .env
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ports:
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- 2283:3001
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depends_on:
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- redis
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- database
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restart: unless-stopped
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immich-microservices:
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container_name: immich_microservices
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image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION}
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# extends: # uncomment this section for hardware acceleration - see https://immich.app/docs/features/hardware-transcoding
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#file: hwaccel.transcoding.yml
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#service: ['quicksync']
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command: ['start.sh', 'microservices']
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volumes:
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- ${UPLOAD_LOCATION}:/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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#- 3002:3002
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depends_on:
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- redis
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- database
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restart: always
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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: ${IMMICH_VERSION}-cuda
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image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION}
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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: 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:/cache
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env_file:
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- .env
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restart: always
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redis:
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container_name: immich_redis
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image: registry.hub.docker.com/library/redis:6.2-alpine@sha256:84882e87b54734154586e5f8abd4dce69fe7311315e2fc6d67c29614c8de2672
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restart: always
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database:
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container_name: immich_postgres
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image: registry.hub.docker.com/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}:/var/lib/postgresql/data
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restart: always
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command: ["postgres", "-c" ,"shared_preload_libraries=vectors.so", "-c", 'search_path="$$user", public, vectors', "-c", "logging_collector=on", "-c", "max_wal_size=2GB", "-c", "shared_buffers=512MB", "-c", "wal_compression=on"]
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volumes:
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model-cache:
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50
compose_files/immich/hwaccel.ml.yml
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compose_files/immich/hwaccel.ml.yml
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<<<<<<<<<<<<<< ✨ Codeium Command 🌟 >>>>>>>>>>>>>>>>
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version: "3.8"
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# Configurations for hardware-accelerated machine learning
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-# If using Unraid or another platform that doesn't allow multiple Compose files,
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-# you can inline the config for a backend by copying its contents
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-# into the immich-machine-learning service in the docker-compose.yml file.
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-
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-# See https://immich.app/docs/features/ml-hardware-acceleration for info on usage.
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-
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services:
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armnn:
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devices:
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- /dev/mali0:/dev/mali0
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volumes:
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+ - /lib/firmware/mali_csffw.bin:/lib/firmware/mali_csffw.bin:ro
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+ - /usr/lib/libmali.so:/usr/lib/libmali.so:ro
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- - /lib/firmware/mali_csffw.bin:/lib/firmware/mali_csffw.bin:ro # Mali firmware for your chipset (not always required depending on the driver)
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- - /usr/lib/libmali.so:/usr/lib/libmali.so:ro # Mali driver for your chipset (always required)
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cpu: {}
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cuda:
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: 1
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capabilities:
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- gpu
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openvino:
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device_cgroup_rules:
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- "c 189:* rmw"
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devices:
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- /dev/dri:/dev/dri
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volumes:
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- /dev/bus/usb:/dev/bus/usb
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openvino-wsl:
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devices:
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- /dev/dri:/dev/dri
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- /dev/dxg:/dev/dxg
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volumes:
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- /dev/bus/usb:/dev/bus/usb
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- /usr/lib/wsl:/usr/lib/wsl
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<<<<<<< d16abd3d-45bb-4b23-be9f-e93c9b7d4eae >>>>>>>
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57
compose_files/immich/hwaccel.transcoding.yml
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57
compose_files/immich/hwaccel.transcoding.yml
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version: "3.8"
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# Configurations for hardware-accelerated transcoding
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# If using Unraid or another platform that doesn't allow multiple Compose files,
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# you can inline the config for a backend by copying its contents
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# into the immich-microservices service in the docker-compose.yml file.
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# See https://immich.app/docs/features/hardware-transcoding for more info on using hardware transcoding.
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services:
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cpu: {}
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nvenc:
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: 1
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capabilities:
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- gpu
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- compute
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- video
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quicksync:
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devices:
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- /dev/dri:/dev/dri
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rkmpp:
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security_opt: # enables full access to /sys and /proc, still far better than privileged: true
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- systempaths=unconfined
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- apparmor=unconfined
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group_add:
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- video
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devices:
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- /dev/rga:/dev/rga
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- /dev/dri:/dev/dri
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- /dev/dma_heap:/dev/dma_heap
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- /dev/mpp_service:/dev/mpp_service
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#- /dev/mali0:/dev/mali0 # only required to enable OpenCL-accelerated HDR -> SDR tonemapping
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volumes:
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#- /etc/OpenCL:/etc/OpenCL:ro # only required to enable OpenCL-accelerated HDR -> SDR tonemapping
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#- /usr/lib/aarch64-linux-gnu/libmali.so.1:/usr/lib/aarch64-linux-gnu/libmali.so.1:ro # only required to enable OpenCL-accelerated HDR -> SDR tonemapping
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vaapi:
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devices:
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- /dev/dri:/dev/dri
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vaapi-wsl: # use this for VAAPI if you're running Immich in WSL2
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devices:
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- /dev/dri:/dev/dri
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volumes:
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- /usr/lib/wsl:/usr/lib/wsl
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environment:
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- LD_LIBRARY_PATH=/usr/lib/wsl/lib
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- LIBVA_DRIVER_NAME=d3d12
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