简介
综合参考:群晖安装群晖 使用 Compose 安装照片管理工具 - Immich - 次元笔记 (kls.red)
最近,把用了4年的黑裙换成了飞牛OS,简洁、直接、更符合个人使用习惯,虽然,官方给了相册应用,对比Immich来说,有些功能还没有实现,例如:人脸识别、关键词搜索图片。废话到这里,下面安装过程。
安装
如果你的情况和我一样完全可以照抄。
准备工作
新建目录Apps - immich - model - cachemodel-cache 注:放置大模型路径
新建目录Apps - yaml - immich 注:这里为了统一管理yaml项目
新建目录Apps - immich - postgres 数据库文件存储
创建后,修改.env 中文注释部分为自己的,我这里是在/vol1/
# 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 上传文件的存储位置
UPLOAD_LOCATION=/vol1/1000/Apps/immich
# The location where your database files are stored 数据库文件的存储位置
DB_DATA_LOCATION=/vol1/1000/Apps/immich/postgres
# 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_VERSION=release
# Connection secret for postgres. You should change it to a random password
# Please use only the characters `A-Za-z0-9`, without special characters or spaces
DB_PASSWORD=postgres
# The values below this line do not need to be changed
###################################################################################
DB_USERNAME=postgres
DB_DATABASE_NAME=immich
修改 docker-compose.yml
中的/vol1/1000/Apps/immich/model-cache:/cache
为自己的
#
# 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.
#
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:
# 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
env_file:
- .env
ports:
- 2283:3001
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, 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: cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference - use the `-wsl` version for WSL2 where applicable
volumes:
- /vol1/1000/Apps/immich/model-cache:/cache
env_file:
- .env
restart: always
healthcheck:
disable: false
redis:
container_name: immich_redis
image: docker.io/redis:6.2-alpine@sha256:e3b17ba9479deec4b7d1eeec1548a253acc5374d68d3b27937fcfe4df8d18c7e
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
environment:
POSTGRES_PASSWORD: ${DB_PASSWORD}
POSTGRES_USER: ${DB_USERNAME}
POSTGRES_DB: ${DB_DATABASE_NAME}
POSTGRES_INITDB_ARGS: '--data-checksums'
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
- ${DB_DATA_LOCATION}:/var/lib/postgresql/data
healthcheck:
test: pg_isready --dbname='${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"; [ "$$Chksum" = '0' ] || exit 1
interval: 5m
# start_interval: 30s
start_period: 5m
command: ["postgres", "-c", "shared_preload_libraries=vectors.so", "-c", 'search_path="$$user", public, vectors', "-c", "logging_collector=on", "-c", "max_wal_size=2GB", "-c", "shared_buffers=512MB", "-c", "wal_compression=on"]
restart: always
volumes:
model-cache:
把两个文件上传到 Apps - yaml - immich
下,打开桌面Docker按图片所示,路径选择到Apps - yaml - immich
项目名填写后完成即可
大模型
🚀️模型打包下载
下载好后上传需要的模型到/vol1/1000/Apps/immich/model-cache
根据大模型内的说明放置即可
具体参考