Teil 3
latest/install-guide.html):
# NVIDIA_VISIBLE_DEVICES: "all"
# NVIDIA_DRIVER_CAPABILITIES: "all"
## Run as a non-root user after initialization (supported: 0, 33, 50-99, 500-600, and 900-1200):
# PHOTOPRISM_UID: 1000
# PHOTOPRISM_GID: 1000
# PHOTOPRISM_UMASK: 0000
## Start as non-root user before initialization (supported: 0, 33, 50-99, 500-600, and 900-1200):
# user: "1000:1000"
## Shared devices for video hardware transcoding (optional):
# devices:
# - "/dev/dri:/dev/dri" # Required Intel QSV or VAAPI hardware transcoding
# - "/dev/video11:/dev/video11" # Video4Linux Video Encode Device (h264_v4l2m2m)
working_dir: "/photoprism" # do not change or remove
## Storage Folders: "~" is a shortcut for your home directory, "." for the current directory
volumes:
# "/host/folder:/photoprism/folder" # Example
- "/volume1/docker/photos:/photoprism/originals" # Original media files (DO NOT REMOVE)
# - "/example/family:/photoprism/originals/family" # *Additional* media folders can be mounted like this
# - "~/Import:/photoprism/import" # *Optional* base folder from which files can be imported to originals
- "./storage:/photoprism/storage" # *Writable* storage folder for cache, database, and sidecar files (DO NOT REMOVE)
## NVIDIA GPU Hardware Acceleration (see
https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html):
# deploy:
# resources:
# reservations:
# devices:
# - driver: "nvidia"
# capabilities: [ gpu ]
# count: "all"
## MariaDB Database Server (recommended)
## see
https://docs.photoprism.app/getting-started/faq/#should-i-use-sqlite-mariadb-or-mysql
mariadb:
image: mariadb:11
## If MariaDB gets stuck in a restart loop, this points to a memory or filesystem issue:
##
https://docs.photoprism.app/getting-started/troubleshooting/#fatal-server-errors
restart: unless-stopped
stop_grace_period: 15s
security_opt: # see
https://github.com/MariaDB/mariadb-docker/issues/434#issuecomment-1136151239
- seccomp:unconfined
- apparmor:unconfined
command: --innodb-buffer-pool-size=512M --transaction-isolation=READ-COMMITTED --character-set-server=utf8mb4 --collation-server=utf8mb4_unicode_ci --max-connections=512 --innodb-rollback-on-timeout=OFF --innodb-lock-wait-timeout=120
## Never store database files on an unreliable device such as a USB flash drive, an SD card, or a shared network folder:
volumes:
- "./database:/var/lib/mysql" # DO NOT REMOVE
## See
https://link.photoprism.app/mariadb-enviconment-variables:
environment:
MARIADB_AUTO_UPGRADE: "1"
MARIADB_INITDB_SKIP_TZINFO: "1"
MARIADB_DATABASE: "photoprism"
MARIADB_USER: "photoprism"
MARIADB_PASSWORD: "1234567890"
MARIADB_ROOT_PASSWORD: "a1b2c3d4e5!"
## When specified, the container will connect to this host and replicate from it (for advanced users only):
# MARIADB_MASTER_HOST: ""
# MARIADB_REPLICATION_USER: ""
# MARIADB_REPLICATION_PASSWORD: ""
## Ollama Large-Language Model Runner (optional)
## Run "ollama pull [name]:[version]" to download a vision model
## listed at <
https://ollama.com/search?c=vision>, for example:
## docker compose exec ollama ollama pull gemma3:latest
ollama:
image: ollama/ollama:latest
restart: unless-stopped
stop_grace_period: 15s
## Only starts this service if the "ollama" profile is specified::
## docker compose --profile ollama up -d
profiles: ["ollama"]
## Insecurely exposes the Ollama service on port 11434
## without authentication (for private networks only):
# ports:
# - "11434:11434"
environment:
## Ollama Configuration Options:
OLLAMA_HOST: "0.0.0.0:11434"
OLLAMA_MODELS: "/root/.ollama" # model storage path (see volumes section below)
OLLAMA_MAX_QUEUE: "100" # maximum number of queued requests
OLLAMA_NUM_PARALLEL: "1" # maximum number of parallel requests
OLLAMA_MAX_LOADED_MODELS: "1" # maximum number of loaded models per GPU
OLLAMA_LOAD_TIMEOUT: "5m" # maximum time for loading models (default "5m")
OLLAMA_KEEP_ALIVE: "5m" # duration that models stay loaded in memory (default "5m")
OLLAMA_CONTEXT_LENGTH: "4096" # maximum input context length
OLLAMA_MULTIUSER_CACHE: "false" # optimize prompt caching for multi-user scenarios
OLLAMA_NOPRUNE: "false" # disables pruning of model blobs at startup
OLLAMA_NOHISTORY: "true" # disables readline history
OLLAMA_FLASH_ATTENTION: "false" # enables the experimental flash attention feature
OLLAMA_KV_CACHE_TYPE: "f16" # cache quantization (f16, q8_0, or q4_0)
OLLAMA_SCHED_SPREAD: "false" # allows scheduling models across all GPUs.
OLLAMA_NEW_ENGINE: "true" # enables the new Ollama engine
# OLLAMA_DEBUG: "true" # shows additional debug information
# OLLAMA_INTEL_GPU: "true" # enables experimental Intel GPU detection
## NVIDIA GPU Hardware Acceleration (see
https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html):
# NVIDIA_VISIBLE_DEVICES: "all"
# NVIDIA_DRIVER_CAPABILITIES: "compute,utility"
volumes:
- "./ollama:/root/.ollama"
## NVIDIA GPU Hardware Acceleration (see
https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html):
# deploy:
# resources:
# reservations:
# devices:
# - driver: "nvidia"
# capabilities: [ gpu ]
# count: "all"
## Watchtower upgrades services automatically (optional)
## see
https://docs.photoprism.app/getting-started/updates/#watchtower
## activate via "COMPOSE_PROFILES=update docker compose up -d"
watchtower:
image: containrrr/watchtower
restart: unless-stopped
## Only starts this service if the "update" profile is specified::
## docker compose --profile update up -d
profiles: ["update"]
environment:
WATCHTOWER_CLEANUP: "true"
WATCHTOWER_POLL_INTERVAL: 7200 # checks for updates every 2 hours
volumes:
- "/var/run/docker.sock:/var/run/docker.sock"
- "~/.docker/config.json:/config.json" # optional, for authentication if you have a Docker Hub account
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