Immich is a high performance self-hosted photo and video backup solution.
We use Docker manifest for cross-platform compatibility. More details can be found on Docker's website.
To obtain the appropriate image for your architecture, simply pull ghcr.io/imagegenius/immich:latest
. Alternatively, you can also obtain specific architecture images by using tags.
This image supports the following architectures:
Architecture | Available | Tag |
---|---|---|
x86-64 | ✅ | amd64-<version tag> |
arm64 | ✅ | arm64v8-<version tag> |
armhf | ❌ |
This image offers different versions via tags. Be cautious when using unstable or development tags, and read their descriptions carefully.
Tag | Available | Description |
---|---|---|
latest | ✅ | Latest Immich release with an Ubuntu base. |
noml | ✅ | Latest Immich release with an Alpine base. Machine-learning and Search with Typesense are completely removed, making it a very lightweight image. |
The WebUI can be accessed at http://your-ip:8080
Follow the wizard to set up Immich.
To use Immich, you need to have PostgreSQL 14/15 server set up externally, and Redis set up externally or within the container using a docker mod.
To set up redis using the docker mod, use the following:
Set DOCKER_MODS=imagegenius/mods:universal-redis
, and REDIS_HOSTNAME
to localhost
.
Machine Learning operations tend to be CPU-intensive. If you're operating Immich on less capable hardware, we recommend disabling this feature. You can easily do so by setting DISABLE_IMMICH_MACHINE_LEARNING
to true
.
Search functionality is powered by Typesense, which requires a CPU compatible with AVX. If your CPU does not support AVX, you can disable the search feature by setting DISABLE_TYPESENSE
to true
.
Take note that when CUDA_ACCELERATION
is set to true
, container startup times will be longer. This is because it triggers a force upgrade of the CUDA pip packages every time the container restarts. 'TAG OBJECTS' and 'ENCODE CLIP' jobs will leverage GPU acceleration, however, the 'RECOGNIZE FACES' job won't utilize GPU acceleration.
If you desire GPU acceleration for all your machine learning jobs, you'll need to set up a new immich-cuda-node
Docker. All the necessary instructions to do this are available on the immich-cuda-node repository.
Example snippets to start creating a container:
---
version: "2.1"
services:
immich:
image: ghcr.io/imagegenius/immich:latest
container_name: immich
environment:
- PUID=1000
- PGID=1000
- TZ=Etc/UTC
- DB_HOSTNAME=192.168.1.x
- DB_USERNAME=postgres
- DB_PASSWORD=postgres
- DB_DATABASE_NAME=immich
- REDIS_HOSTNAME=192.168.1.x
- DISABLE_MACHINE_LEARNING=false #optional
- DISABLE_TYPESENSE=false #optional
- DB_PORT=5432 #optional
- REDIS_PORT=6379 #optional
- REDIS_PASSWORD= #optional
- CUDA_ACCELERATION=false #optional
volumes:
- path_to_appdata:/config
- path_to_photos:/photos
- path_to_machine-learning:/config/machine-learning #optional
ports:
- 8080:8080
restart: unless-stopped
# This container requires an external application to be run separately to be run separately.
# Redis:
redis:
image: redis
ports:
- 6379:6379
container_name: redis
# PostgreSQL 14:
postgres14:
image: postgres:14
ports:
- 5432:5432
container_name: postgres14
environment:
POSTGRES_USER: postgres
POSTGRES_PASSWORD: postgres
POSTGRES_DB: immich
volumes:
- path_to_postgres:/var/lib/postgresql/data
Docker CLI (Click here for more info)
docker run -d \
--name=immich \
-e PUID=1000 \
-e PGID=1000 \
-e TZ=Etc/UTC \
-e DB_HOSTNAME=192.168.1.x \
-e DB_USERNAME=postgres \
-e DB_PASSWORD=postgres \
-e DB_DATABASE_NAME=immich \
-e REDIS_HOSTNAME=192.168.1.x \
-e DISABLE_MACHINE_LEARNING=false `#optional` \
-e DISABLE_TYPESENSE=false `#optional` \
-e DB_PORT=5432 `#optional` \
-e REDIS_PORT=6379 `#optional` \
-e REDIS_PASSWORD= `#optional` \
-e CUDA_ACCELERATION=false `#optional` \
-p 8080:8080 \
-v path_to_appdata:/config \
-v path_to_photos:/photos \
-v path_to_machine-learning:/config/machine-learning `#optional` \
--restart unless-stopped \
ghcr.io/imagegenius/immich:latest
# This container requires an external application to be run separately.
# Redis:
docker run -d \
--name=redis \
-p 6379:6379 \
redis
# PostgreSQL 14:
docker run -d \
--name=postgres14 \
-e POSTGRES_USER=postgres \
-e POSTGRES_PASSWORD=postgres \
-e POSTGRES_DB=immich \
-v path_to_postgres:/var/lib/postgresql/data \
-p 5432:5432 \
postgres:14
To configure the container, pass variables at runtime using the format <external>:<internal>
. For instance, -p 8080:80
exposes port 80
inside the container, making it accessible outside the container via the host's IP on port 8080
.
Variable | Description |
---|---|
-p 8080 |
WebUI Port |
-e PUID=1000 |
UID for permissions - see below for explanation |
-e PGID=1000 |
GID for permissions - see below for explanation |
-e TZ=Etc/UTC |
Specify a timezone to use, see this list. |
-e DB_HOSTNAME=192.168.1.x |
PostgreSQL Host |
-e DB_USERNAME=postgres |
PostgreSQL Username |
-e DB_PASSWORD=postgres |
PostgreSQL Password |
-e DB_DATABASE_NAME=immich |
PostgreSQL Database Name |
-e REDIS_HOSTNAME=192.168.1.x |
Redis Hostname |
-e DISABLE_MACHINE_LEARNING=false |
Set to true to disable machine learning |
-e DISABLE_TYPESENSE=false |
Set to true to disable Typesense (disables searching completely!) |
-e DB_PORT=5432 |
PostgreSQL Port |
-e REDIS_PORT=6379 |
Redis Port |
-e REDIS_PASSWORD= |
Redis password |
-e CUDA_ACCELERATION=false |
Set to true to enable CUDA Acceleration (NVIDIA GPU must be passed through! --gpus=all ) |
-v /config |
Contains the logs, machine-learning models and Typesense data |
-v /photos |
Contains all the photos uploaded to Immich |
-v /config/machine-learning |
Store the machine-learning models (~800MB) |
All of our images allow overriding the default umask setting for services started within the containers using the optional -e UMASK=022 option. Note that umask works differently than chmod and subtracts permissions based on its value, not adding. For more information, please refer to the Wikipedia article on umask here.
To avoid permissions issues when using volumes (-v
flags) between the host OS and the container, you can specify the user (PUID
) and group (PGID
). Make sure that the volume directories on the host are owned by the same user you specify, and the issues will disappear.
Example: PUID=1000
and PGID=1000
. To find your PUID and PGID, run id user
.
$ id username
uid=1000(dockeruser) gid=1000(dockergroup) groups=1000(dockergroup)
Most of our images are static, versioned, and require an image update and container recreation to update the app. We do not recommend or support updating apps inside the container. Check the Application Setup section for recommendations for the specific image.
Instructions for updating containers:
- Update all images:
docker-compose pull
- or update a single image:
docker-compose pull immich
- or update a single image:
- Let compose update all containers as necessary:
docker-compose up -d
- or update a single container:
docker-compose up -d immich
- or update a single container:
- You can also remove the old dangling images:
docker image prune
- Update the image:
docker pull ghcr.io/imagegenius/immich:latest
- Stop the running container:
docker stop immich
- Delete the container:
docker rm immich
- Recreate a new container with the same docker run parameters as instructed above (if mapped correctly to a host folder, your
/config
folder and settings will be preserved) - You can also remove the old dangling images:
docker image prune
- 23.05.23: - move to ubuntu lunar and support cuda acceleration for machine-learning
- 22.05.23: - deprecate postgresql docker mod
- 18.05.23: - add support for facial recognition
- 07.05.23: - remove unused
JWT_SECRET
env - 13.04.23: - add variables to disable typesense and machine learning
- 10.04.23: - fix gunicorn
- 04.04.23: - use environment variables to set location of the photos folder
- 09.04.23: - Cache is downloaded to the host (/config/transformers)
- 01.04.23: - remove unused Immich environment variables
- 21.03.23: - Add service checks
- 05.03.23: - add typesense
- 27.02.23: - re-enable aarch64 with pre-release torch build
- 18.02.23: - use machine-learning with python
- 11.02.23: - use external app block
- 09.02.23: - Use Immich environment variables for immich services instead of hosts file
- 09.02.23: - execute CLI with the command immich
- 04.02.23: - shrink image
- 26.01.23: - add unraid migration to readme
- 26.01.23: - use find to apply chown to /app, excluding node_modules
- 26.01.23: - enable ci testing
- 24.01.23: - fix services starting prematurely, causing permission errors.
- 23.01.23: - add noml image to readme and add aarch64 image to readme, make github release stable
- 21.01.23: - BREAKING: Redis is removed. Update missing param_env_vars & opt_param_env_vars for redis & postgres
- 02.01.23: - Initial Release.