Immich系统部署教程compose代码

version: "3.8"
name: immich

services:
  immich-server:
    container_name: immich_server
    image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release}
    volumes:
      - ${UPLOAD_LOCATION}:/usr/src/app/upload
      # 如果怕修改原有照片，最后加上ro，否则删除ro
      - ${PHOTOS_LOCATION}:/usr/src/app/external:ro
      - /etc/localtime:/etc/localtime:ro
    env_file:
      - .env
    ports:
      - 2283:3001
    depends_on:
      - redis
      - database
    restart: always

  immich-machine-learning:
    container_name: immich_machine_learning
    # 不同硬件可以在镜像后增加[armnn, cuda, openvino] 标签，比如支持cuda的独立显卡加速，可以为 ${IMMICH_VERSION:-release}-cuda
    image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}
    # 下面的代码开启核显转码加速
    # devices:  
      # - /dev/dri:/dev/dri
    volumes:
      # 这个目录存放AI模型
      - /volume1/docker/immich/model:/cache
    restart: always

  redis:
    container_name: immich_redis
    image: library/redis:6.2-alpine
    restart: always

  database:
    container_name: immich_postgres
    image: tensorchord/pgvecto-rs:pg14-v0.2.0
    environment:
      POSTGRES_PASSWORD: ${DB_PASSWORD}
      POSTGRES_USER: ${DB_USERNAME}
      POSTGRES_DB: ${DB_DATABASE_NAME}
      POSTGRES_INITDB_ARGS: '--data-checksums'
    volumes:
      #自定义data位置
      - ${DB_DATA_LOCATION}:/var/lib/postgresql/data
    restart: always
    command: ["postgres", "-c" ,"shared_preload_libraries=vectors.so", "-c", 'search_path="$$user", public, vectors', "-c", "logging_collector=on", "-c", "max_wal_size=2GB", "-c", "shared_buffers=512MB", "-c", "wal_compression=on"]

同一个路径下，增加【.env】文件，代码如下

TZ=Asia/Shanghai
IMMICH_VERSION=release
HF_ENDPOINT=https://hf-mirror.com

# 自定义的上传照片存放路径，群晖需要先创建好
UPLOAD_LOCATION=./library
# 自定义的数据库存放路径，群晖需要先创建好
DB_DATA_LOCATION=./postgres
# 自定义的外部库存放路径
PHOTOS_LOCATION=/volume1/homes/name/Photos/

# 下面修改数据库账号密码等信息
DB_PASSWORD=postgres
DB_USERNAME=postgres
DB_DATABASE_NAME=immich