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breakdown of HWA vs not
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@ -12,6 +12,12 @@ Please note you'll need :z or :Z for selinux enabled hosts.
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If you are doing hardware acceleration with NVIDIA make sure you follow the immich documentation including the appropriate NVIDIA Container Device Interface (https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/cdi-support.html) and adding the device (AddDevice=nvidia.com/gpu=0).
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If you are doing hardware acceleration with NVIDIA make sure you follow the immich documentation including the appropriate NVIDIA Container Device Interface (https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/cdi-support.html) and adding the device (AddDevice=nvidia.com/gpu=0).
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# Sample Quadlet Files
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It is recommended to run these rootless, and as such the ideal place is likely /etc/containers/systemd/users/${UID}
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## Universal
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immich-database.container
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immich-database.container
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```bash
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```bash
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[Unit]
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[Unit]
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@ -35,61 +41,6 @@ Restart=always
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WantedBy=multi-user.target default.target
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WantedBy=multi-user.target default.target
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```
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```
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immich-microservices.container
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```bash
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[Unit]
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Description=Immich Microservices
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Requires=immich-redis.service immich-database.service
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[Container]
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#AddDevice=/dev/dri:/dev/dri #Needed for HWA
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#AddDevice=nvidia.com/gpu=0 #Needed for nvidia HWA, after setting up container tools
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AutoUpdate=registry
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EnvironmentFile=${location_of_env_file}
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Image=ghcr.io/immich-app/immich-server:release
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Label=registry
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Network=slirp4netns:port_handler=slirp4netns
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PublishPort=3002:3002
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Volume=${host_upload_directory}:/usr/src/app/upload:z
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Volume=/etc/localtime:/etc/localtime:ro
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Exec=start.sh microservices
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#Unmask=/dev/dri:/dev/dri #May be needed if doing HWA
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#UserNS=keep-id #May be needed if doing HWA
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[Service]
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Restart=always
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[Install]
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WantedBy=multi-user.target default.target
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```
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immich-ml.container
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```bash
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[Unit]
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Description=Immich Machine Learning
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Requires=immich-redis.service immich-database.service
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[Container]
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#AddDevice=/dev/dri:/dev/dri #Needed for HWA
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#AddDevice=nvidia.com/gpu=0 #Needed for nvidia HWA, after setting up container tools
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AutoUpdate=registry
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EnvironmentFile=${location_of_env_file}
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Image=ghcr.io/immich-app/immich-machine-learning:release
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Label=registry
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Network=slirp4netns:port_handler=slirp4netns
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PublishPort=3003:3003
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Volume=${cache_directory}:/cache:z
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Volume=/etc/localtime:/etc/localtime:ro
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#Unmask=/dev/dri:/dev/dri #May be needed for HWA
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[Service]
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Restart=always
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[Install]
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WantedBy=multi-user.target default.target
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```
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immich-redis.container
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immich-redis.container
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```bash
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```bash
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[Unit]
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[Unit]
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@ -134,3 +85,104 @@ Restart=always
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[Install]
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[Install]
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WantedBy=multi-user.target default.target
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WantedBy=multi-user.target default.target
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```
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```
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## No Hardware Acceleration
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immich-microservices.container
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```bash
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[Unit]
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Description=Immich Microservices
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Requires=immich-redis.service immich-database.service
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[Container]
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AutoUpdate=registry
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EnvironmentFile=${location_of_env_file}
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Image=ghcr.io/immich-app/immich-server:release
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Label=registry
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Network=slirp4netns:port_handler=slirp4netns
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PublishPort=3002:3002
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Volume=${host_upload_directory}:/usr/src/app/upload:z
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Volume=/etc/localtime:/etc/localtime:ro
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Exec=start.sh microservices
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[Service]
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Restart=always
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[Install]
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WantedBy=multi-user.target default.target
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```
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immich-ml.container
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```bash
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[Unit]
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Description=Immich Machine Learning
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Requires=immich-redis.service immich-database.service
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[Container]
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AutoUpdate=registry
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EnvironmentFile=${location_of_env_file}
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Image=ghcr.io/immich-app/immich-machine-learning:release
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Label=registry
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Network=slirp4netns:port_handler=slirp4netns
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PublishPort=3003:3003
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Volume=${cache_directory}:/cache:z
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Volume=/etc/localtime:/etc/localtime:ro
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[Service]
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Restart=always
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[Install]
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WantedBy=multi-user.target default.target
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```
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## Hardware Acceleration - NVIDIA CUDA
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immich-microservices.container
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```bash
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[Unit]
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Description=Immich Microservices
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Requires=mnt-data01.mount immich-redis.service immich-database.service
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[Container]
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AddDevice=nvidia.com/gpu=0
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AutoUpdate=registry
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EnvironmentFile=/mnt/data01/immich-app/.env
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Image=ghcr.io/immich-app/immich-server:release
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Label=registry
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Network=slirp4netns:port_handler=slirp4netns
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PublishPort=3002:3002
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Volume=/mnt/data01/uploads:/usr/src/app/upload:z
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Volume=/etc/localtime:/etc/localtime:ro
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Exec=start.sh microservices
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[Service]
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Restart=always
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[Install]
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WantedBy=multi-user.target default.target
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```
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immich-ml.container
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```bash
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[Unit]
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Description=Immich Machine Learning
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Requires=mnt-data01.mount immich-redis.service immich-database.service
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[Container]
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AddDevice=nvidia.com/gpu=0
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AutoUpdate=registry
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EnvironmentFile=/mnt/data01/immich-app/.env
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Image=ghcr.io/immich-app/immich-machine-learning:release-cuda
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Label=registry
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Network=slirp4netns:port_handler=slirp4netns
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PublishPort=3003:3003
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Volume=/mnt/data01/model-cache:/cache:z
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Volume=/etc/localtime:/etc/localtime:ro
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[Service]
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Restart=always
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[Install]
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WantedBy=multi-user.target default.target
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```
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