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:v1.135.3
# extends:
# file: hwaccel.transcoding.yml
# service: cpu # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding
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/Container/container-station-data/application/immich/server/library:/usr/src/app/upload
- /share/CACHEDEV1_DATA/Weasley/Pictures:/external/Weasley/Pictures:ro
- /etc/localtime:/etc/localtime:ro
environment:
- TZ=Asia/Shanghai
- DB_USERNAME=postgres
- DB_PASSWORD=postgres
- DB_DATABASE_NAME=immich
ports:
- '2283:2283'
depends_on:
- redis
- database
networks:
- immich
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:v1.135.3
# extends: # uncomment this section for hardware acceleration - see https://immich.app/docs/features/ml-hardware-acceleration
# file: hwaccel.ml.yml
# service: cpu # set to one of [armnn, cuda, rocm, openvino, openvino-wsl, rknn] for accelerated inference - use the `-wsl` version for WSL2 where applicable
volumes:
- /share/Container/container-station-data/application/immich/machine_learning/model_cache:/cache
restart: always
networks:
- immich
healthcheck:
disable: false

redis:
container_name: immich_redis
image: docker.io/valkey/valkey:8-bookworm
networks:
- immich
healthcheck:
test: redis-cli ping || exit 1
restart: always

database:
container_name: immich_postgres
image: ghcr.io/immich-app/postgres:14-vectorchord0.4.3-pgvectors0.2.0
environment:
POSTGRES_PASSWORD: postgres
POSTGRES_USER: postgres
POSTGRES_DB: immich
POSTGRES_INITDB_ARGS: '--data-checksums'
# Uncomment the DB_STORAGE_TYPE: 'HDD' var if your database isn't stored on SSDs
# DB_STORAGE_TYPE: 'HDD'
networks:
- immich
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
- /share/Container/container-station-data/application/immich/Postgres/data:/var/lib/postgresql/data
restart: always

volumes:
model-cache:

networks:
immich:

1. 模型下载

NAS上由于网络问题,无法从hf上加载对应的模型,需要先下载到本地,再手动上传到NAS。

# 下载模型

https://huggingface.co/immich-app

## buffalo_l 用于人脸识别
huggingface-cli download immich-app/buffalo_l --local-dir immich-app-buffalo_l

## XLM-Roberta-Large-Vit-B-16Plus用于智能搜索
huggingface-cli download immich-app/XLM-Roberta-Large-Vit-B-16Plus --local-dir immich-app-XLM-Roberta-Large-Vit-B-16Plus

NAS上模型目录结构

.
|____model_cache
| |____clip
| | |____XLM-Roberta-Large-Vit-B-16Plus
| | | |____textual
| | | |____visual
| | | |____.cache
| |____facial-recognition
| | |____buffalo_l
| | | |____recognition
| | | |____.cache
| | | |____detection

2. immich 配置