68 lines
1.8 KiB
YAML
68 lines
1.8 KiB
YAML
# Immich - Photo/video backup solution
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# URL: https://photos.vishconcord.synology.me
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# Port: 2283
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# Google Photos alternative with ML-powered features
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version: "3.8"
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name: immich
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services:
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immich-server:
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container_name: immich_server
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image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release}
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volumes:
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- ${UPLOAD_LOCATION}:/data
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- /etc/localtime:/etc/localtime:ro
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env_file:
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- .env
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ports:
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- "2283:2283"
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depends_on:
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- redis
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- database
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restart: unless-stopped
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:2283/api/server-info"]
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interval: 30s
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timeout: 5s
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retries: 5
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# You can enable this later if you really want object detection or face recognition.
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# It’ll work on the Pi 5, but very, very slowly.
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# immich-machine-learning:
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# container_name: immich_machine_learning
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# image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}
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# volumes:
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# - model-cache:/cache
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# env_file:
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# - .env
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# restart: unless-stopped
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# healthcheck:
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# disable: false
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redis:
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container_name: immich_redis
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image: docker.io/valkey/valkey:8-bookworm
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restart: unless-stopped
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healthcheck:
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test: ["CMD", "redis-cli", "ping"]
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interval: 30s
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timeout: 5s
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retries: 5
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database:
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container_name: immich_postgres
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image: ghcr.io/immich-app/postgres:14-vectorchord0.4.3-pgvectors0.2.0
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environment:
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POSTGRES_PASSWORD: "REDACTED_PASSWORD"
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POSTGRES_USER: ${DB_USERNAME}
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POSTGRES_DB: ${DB_DATABASE_NAME}
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POSTGRES_INITDB_ARGS: "--data-checksums"
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volumes:
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- ${DB_DATA_LOCATION}:/var/lib/postgresql/data
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shm_size: 128mb
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restart: unless-stopped
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volumes:
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model-cache:
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