adds new gitgnore to repo

This commit is contained in:
tim
2025-09-21 21:56:39 +02:00
parent 68e1b6d0b4
commit df694656f4
48 changed files with 219456 additions and 7 deletions

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immich/.gitignore vendored Normal file
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# Immich postgres data directory
postgres/
# Environment files
.env
# Logs
*.log
# Temporary files
*.tmp
*.temp

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# This file is auto-generated by openmediavault (https://www.openmediavault.org)
# WARNING: Do not edit this file, your changes will get lost.
# immich
#
#
# WARNING: To install Immich, follow our guide: https://immich.app/docs/install/docker-compose
#
# Make sure to use the docker-compose.yml of the current release:
#
# https://github.com/immich-app/immich/releases/latest/download/docker-compose.yml
#
# The compose file on main may not be compatible with the latest release.
name: immich
services:
immich-server:
container_name: immich_server
image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release}
security_opt:
- apparmor=unconfined
devices:
- /dev/dri:/dev/dri
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
- ${UPLOAD_LOCATION}:/usr/src/app/upload
- /etc/localtime:/etc/localtime:ro
- /mnt/photos:/mnt/media:ro
ports:
- '2283:2283'
depends_on:
- redis
- database
restart: always
healthcheck:
disable: false
immich-machine-learning:
container_name: immich_machine_learning
# For hardware acceleration, add one of -[armnn, cuda, rocm, openvino, rknn] to the image tag.
# Example tag: ${IMMICH_VERSION:-release}-cuda
image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}-openvino
security_opt:
- apparmor=unconfined
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, rocm, openvino, openvino-wsl, rknn] for accelerated inference - use the `-wsl` version for WSL2 where applicable
volumes:
- model-cache:/cache
restart: always
healthcheck:
disable: false
redis:
container_name: immich_redis
image: docker.io/valkey/valkey:8-bookworm@sha256:fec42f399876eb6faf9e008570597741c87ff7662a54185593e74b09ce83d177
security_opt:
- apparmor=unconfined
healthcheck:
test: redis-cli ping || exit 1
restart: always
database:
container_name: immich_postgres
image: ghcr.io/immich-app/postgres:14-vectorchord0.4.2-pgvectors0.2.0
security_opt:
- apparmor=unconfined
environment:
POSTGRES_PASSWORD: ${DB_PASSWORD}
POSTGRES_USER: ${DB_USERNAME}
POSTGRES_DB: ${DB_DATABASE_NAME}
POSTGRES_INITDB_ARGS: '--data-checksums'
# Uncomment the DB_STORAGE_TYPE: 'HDD' var if your database isn't stored on SSDs
# DB_STORAGE_TYPE: 'HDD'
volumes:
# Do not edit the next line. If you want to change the database storage location on your system, edit the value of DB_DATA_LOCATION in the .env file
- ${DB_DATA_LOCATION}:/var/lib/postgresql/data
restart: always
volumes:
model-cache:

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immich/hwaccel.ml.yml Normal file
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# Configurations for hardware-accelerated machine learning
# If using Unraid or another platform that doesn't allow multiple Compose files,
# you can inline the config for a backend by copying its contents
# into the immich-machine-learning service in the docker-compose.yml file.
# See https://immich.app/docs/features/ml-hardware-acceleration for info on usage.
services:
armnn:
devices:
- /dev/mali0:/dev/mali0
volumes:
- /lib/firmware/mali_csffw.bin:/lib/firmware/mali_csffw.bin:ro # Mali firmware for your chipset (not always required depending on the driver)
- /usr/lib/libmali.so:/usr/lib/libmali.so:ro # Mali driver for your chipset (always required)
rknn:
security_opt:
- systempaths=unconfined
- apparmor=unconfined
devices:
- /dev/dri:/dev/dri
cpu: {}
cuda:
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: 1
capabilities:
- gpu
rocm:
group_add:
- video
devices:
- /dev/dri:/dev/dri
- /dev/kfd:/dev/kfd
openvino:
device_cgroup_rules:
- 'c 189:* rmw'
devices:
- /dev/dri:/dev/dri
volumes:
- /dev/bus/usb:/dev/bus/usb
openvino-wsl:
devices:
- /dev/dri:/dev/dri
- /dev/dxg:/dev/dxg
volumes:
- /dev/bus/usb:/dev/bus/usb
- /usr/lib/wsl:/usr/lib/wsl

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# Configurations for hardware-accelerated transcoding
# If using Unraid or another platform that doesn't allow multiple Compose files,
# you can inline the config for a backend by copying its contents
# into the immich-microservices service in the docker-compose.yml file.
# See https://immich.app/docs/features/hardware-transcoding for more info on using hardware transcoding.
services:
cpu: {}
nvenc:
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: 1
capabilities:
- gpu
- compute
- video
quicksync:
devices:
- /dev/dri:/dev/dri
rkmpp:
security_opt: # enables full access to /sys and /proc, still far better than privileged: true
- systempaths=unconfined
- apparmor=unconfined
group_add:
- video
devices:
- /dev/rga:/dev/rga
- /dev/dri:/dev/dri
- /dev/dma_heap:/dev/dma_heap
- /dev/mpp_service:/dev/mpp_service
#- /dev/mali0:/dev/mali0 # only required to enable OpenCL-accelerated HDR -> SDR tonemapping
volumes:
#- /etc/OpenCL:/etc/OpenCL:ro # only required to enable OpenCL-accelerated HDR -> SDR tonemapping
#- /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
vaapi:
devices:
- /dev/dri:/dev/dri
vaapi-wsl: # use this for VAAPI if you're running Immich in WSL2
devices:
- /dev/dri:/dev/dri
- /dev/dxg:/dev/dxg
volumes:
- /usr/lib/wsl:/usr/lib/wsl
environment:
- LIBVA_DRIVER_NAME=d3d12