ai相册管理软件immich的群晖详细部署教程

2024年10月28日 44点热度 0人点赞 0条评论

immich是一个更新较快的开源软件，因为他包含自己附带了4个容器运行，今天单独讲下他的部署。以群晖为例，其他nas类似。

官网：https://immich.app/

体验网址：https://demo.immich.app/

（体验那里点login as demo user）

因为是4个关联容器，

其中postgres和redis都是数据库相关容器，machine_learning是机器学习容器，server是服务容器，建议用docker-compose部署。

当前版本号：1.107.2

在群晖docker文件夹下新建immich文件夹，后面的文件都放这里

docker-compose.yml文件和环境变量文件.env在根目录

硬件减速的2个文件hwaccel.ml.yml、hwaccel.transcoding.yml也在根目录

cache文件夹里是两个大模型clip文件夹下的XLM-Roberta-Large-Vit-B-16Plus用以文搜图，facial-recognition文件夹下的antelopev2或buffalo_l用于人脸识别（支持的CLIP模型名称列表详见，huggingface国内镜像站：https://hf-mirror.com/immich-app，也可以自己下载需要的模型）

我都打包到了123网盘，docker-compose.yml和.env文件内我都注释了参数用法:

https://www.123pan.com/s/zYB6Vv-aM7bd.html提取码:UzHn

docker-compose.yml也可以直接复制下面的：


#
# WARNING: 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.
#
#原版英文注释我没删除，也可以参考
name: immich

services:
  immich-server:
    container_name: immich_server
    image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release}
    # extends:
    #   file: hwaccel.transcoding.yml
    #   service: cpu # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding
    volumes:
    #服务网页上上传的图片存储目录映射
      - ${UPLOAD_LOCATION}:/usr/src/app/upload
      - /etc/localtime:/etc/localtime:ro
    env_file:
      - .env
    #服务网页端口号2283，可以自己改
    ports:
      - 2283:3001
    depends_on:
      - redis
      - database

  immich-machine-learning:
    container_name: immich_machine_learning
    # For hardware acceleration, add one of -[armnn, cuda, openvino] to the image tag.
    #需要GPU硬件加速的话，下面的image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}改为image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}-cuda，因为我没有独显，没试
    # Example tag: ${IMMICH_VERSION:-release}-cuda
    image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}
    #这里是机器学习GPU硬件加速的扩展参数设置
    # extends: # uncomment this section for hardware acceleration - see https://immich.app/docs/features/ml-hardware-acceleration
    #硬件加速下面file: hwaccel.ml.yml要取消注释，同时immich文件夹要包含这个文件
    #   file: hwaccel.ml.yml
    #需要加速的下面改为service:openvino，不要注释掉
    #   service: cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference - use the `-wsl` version for WSL2 where applicable
    #机器学习大模型存储目录映射
    volumes:
      - ${CACHE_LOCATION}:/cache
    env_file:
      - .env
    restart: always

  redis:
    container_name: immich_redis
    image: docker.io/redis:6.2-alpine@sha256:328fe6a5822256d065debb36617a8169dbfbd77b797c525288e465f56c1d392b
    healthcheck:
      test: redis-cli ping || exit 1
    restart: always

  database:
    container_name: immich_postgres
    image: docker.io/tensorchord/pgvecto-rs:pg14-v0.2.0@sha256:90724186f0a3517cf6914295b5ab410db9ce23190a2d9d0b9dd6463e3fa298f0
    #数据库密码、用户名、数据库名环境变量设置
    environment:
      POSTGRES_PASSWORD: ${DB_PASSWORD}
      POSTGRES_USER: ${DB_USERNAME}
      POSTGRES_DB: ${DB_DATABASE_NAME}
      POSTGRES_INITDB_ARGS: '--data-checksums'
    #数据库存储目录映射
    volumes:
      - ${DB_DATA_LOCATION}:/var/lib/postgresql/data
    healthcheck:
      test: pg_isready --dbname='${DB_DATABASE_NAME}' --username='${DB_USERNAME}' || exit 1; Chksum="$$(psql --dbname='${DB_DATABASE_NAME}' --username='${DB_USERNAME}' --tuples-only --no-align --command='SELECT COALESCE(SUM(checksum_failures), 0) FROM pg_stat_database')"; echo "checksum failure count is $$Chksum"; [ "$$Chksum" = '0' ] || exit 1
      interval: 5m
      start_period: 5m
    command: ["postgres", "-c" ,"shared_preload_libraries=vectors.so", "-c", 'search_path="$$user", public, vectors', "-c", "logging_collector=on", "-c", "max_wal_size=2GB", "-c", "shared_buffers=512MB", "-c", "wal_compression=on"]
    restart: always

.env为


# You can find documentation for all the supported env variables at https://immich.app/docs/install/environment-variables

# The location where your uploaded files are stored
#这里UPLOAD_LOCATION是immich上传的图片存储目录
UPLOAD_LOCATION=/volume1/docker/immich/library
# The location where your database files are stored
#DB_DATA_LOCATION是数据库文件存储目录
DB_DATA_LOCATION=/volume1/docker/immich/postgres
#CACHE_LOCATION是大模型文件存储目录
CACHE_LOCATION=/volume1/docker/immich/cache

# To set a timezone, uncomment the next line and change Etc/UTC to a TZ identifier from this list: https://en.wikipedia.org/wiki/List_of_tz_database_time_zones#List
TZ=Etc/UTC

# The Immich version to use. You can pin this to a specific version like "v1.71.0"
#immich版本号，不用管
IMMICH_VERSION=release

# Connection secret for postgres. You should change it to a random password
#数据库密码，内网不用管，连外网了自己可以改下
DB_PASSWORD=postgres

# The values below this line do not need to be changed
###################################################################################
#数据库用户名，内网不用管，连外网了自己可以改下
DB_USERNAME=postgres
#数据库名，内网不用管，连外网了自己可以改下
DB_DATABASE_NAME=immich

群晖内新建文件夹的结构如下：