jaydee/docker-compose
1
0
Fork 0
mirror of https://gitlab.sectorq.eu/home/docker-compose.git synced 2025-07-02 00:08:33 +02:00
Code Issues Packages Projects Releases Wiki Activity

lala

Browse Source
This commit is contained in:
jaydee
2025-02-26 19:28:38 +01:00
parent 114cc28b11
commit 65bf56db73
1 changed files with 9 additions and 9 deletions
Download Patch File Download Diff File Expand all files Collapse all files

18
immich/docker-compose.yml
View File

@ -13,14 +13,14 @@ services:
container_name: immich_server
image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release}
extends:
file: hwaccel.transcoding.yml
service: vaapi # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding
file: immich/hwaccel.transcoding.yml
service: cpu # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding
devices:
- /dev/dri/renderD128
- /dev/dri/card0
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
#- /share/docker_data/immich/library:/usr/src/app/upload
- /share/docker_data/immich/library:/usr/src/app/upload
- /media/nas/nas-photo:/mnt/photos2:ro
- /etc/localtime:/etc/localtime:ro
env_file:
@ -39,12 +39,12 @@ services:
# For hardware acceleration, add one of -[armnn, cuda, openvino] to the image tag.
# Example tag: ${IMMICH_VERSION:-release}-cuda
image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}
extends: # uncomment this section for hardware acceleration - see https://immich.app/docs/features/ml-hardware-acceleration
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
devices:
- /dev/dri/renderD128
- /dev/dri/card0
# extends: # uncomment this section for hardware acceleration - see https://immich.app/docs/features/ml-hardware-acceleration
# 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
# devices:
# - /dev/dri/renderD128
# - /dev/dri/card0
volumes:
- model-cache:/cache
env_file: