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jaydee
2025-02-27 22:41:15 +01:00
parent 5b8f6d0403
commit e0d33ea979
1 changed files with 12 additions and 12 deletions
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immich/docker-compose.yml
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@ -12,12 +12,12 @@ services:
immich-server: immich-server:
container_name: immich_server container_name: immich_server
image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release} image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release}
# extends: extends:
# file: hwaccel.transcoding.yml file: hwaccel.transcoding.yml
# service: cpu # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding service: vaapi # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding
# devices: devices:
# - /dev/dri/renderD128 - /dev/dri/renderD128
# - /dev/dri/card0 - /dev/dri/card1
volumes: volumes:
# 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 # 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
- /share/docker_data/immich/library:/usr/src/app/upload - /share/docker_data/immich/library:/usr/src/app/upload
@ -39,12 +39,12 @@ services:
# For hardware acceleration, add one of -[armnn, cuda, openvino] to the image tag. # For hardware acceleration, add one of -[armnn, cuda, openvino] to the image tag.
# Example tag: ${IMMICH_VERSION:-release}-cuda # Example tag: ${IMMICH_VERSION:-release}-cuda
image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release} image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}
# extends: # uncomment this section for hardware acceleration - see https://immich.app/docs/features/ml-hardware-acceleration extends: # uncomment this section for hardware acceleration - see https://immich.app/docs/features/ml-hardware-acceleration
# file: hwaccel.ml.yml file: hwaccel.ml.yml
# service: openvino # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference - use the `-wsl` version for WSL2 where applicable service: openvino # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference - use the `-wsl` version for WSL2 where applicable
# devices: devices:
# - /dev/dri/renderD128 - /dev/dri/renderD128
# - /dev/dri/card0 - /dev/dri/card1
volumes: volumes:
- model-cache:/cache - model-cache:/cache
env_file: env_file: