>> Running PhotoPrism on ARM64-based devices (64-bit) <<
Our stable version and development preview have been built into a single multi-arch
Docker image for 64-bit AMD, Intel, and ARM processors (Apple Silicon, Raspberry Pi 4):
Stable Release : photoprism/photoprism:latest
Development Preview: photoprism/photoprism:preview
In case the default multi-arch images cause problems, you can also use the following
single-arch ARM64 images (updated and tested less frequently):
Stable Release : photoprism/photoprism:arm64
Development Preview: photoprism/photoprism:preview-arm64
MariaDB : arm64v8/mariadb:11
If your device meets the system requirements, mostly the same installation instructions
as for regular Linux servers apply:
https://docs.photoprism.app/getting-started/docker-compose/
Existing users are advised to check their "docker-compose.yml" against our examples
at <dl.photoprism.app/docker> from time to time in case there are new configuration
options or other improvements. Update instructions can be found at the bottom of
this README file.
Note that Raspberry Pi OS (Raspbian) is a 32-bit user-space Linux with a 64-bit
kernel to remain compatible with older Raspberry software. This requires special
configuration to run modern 64-bit applications and Docker images (see below).
If you do not have legacy software, we recommend choosing a standard 64-bit Linux
distribution as it requires less experience:
> Raspberry Pi Debian: https://raspi.debian.net/
> Ubuntu for Raspberry Pi: https://ubuntu.com/raspberry-pi
> UbuntuDockerPi: https://github.com/guysoft/UbuntuDockerPi (Ubuntu incl. Docker pre-configured)
Other distributions that target the same use case as Raspbian, such as CoreELEC,
may have the same problems and should also not be used to run modern server
applications.
### Raspberry Pi OS ###
To ensure compatibility with 64-bit Docker images, your Raspberry Pi must
boot with the "arm_64bit=1" flag in its "config.txt" file:
https://www.raspberrypi.org/documentation/installation/installing-images/README.md
An "exec format" error will occur otherwise.
Try explicitly pulling the ARM64 version if you've booted your device with the
"arm_64bit=1" flag and you see the "no matching manifest" error on
Raspberry Pi OS (Raspbian):
docker pull --platform=arm64 photoprism/photoprism:latest
It may also help to set the DOCKER_DEFAULT_PLATFORM environment variable to
"linux/arm64".
### System Requirements ###
- Your device should have at least 3 GB of physical memory and a 64-bit
operating system
- While PhotoPrism has been reported to work on devices with less memory,
we take no responsibility for instability or performance problems
- RAW image conversion and TensorFlow are disabled on systems with 1 GB
or less memory
- Indexing large photo and video collections significantly benefits from
local SSD storage and plenty of memory for caching, especially the conversion
of RAW images and the transcoding of videos are very demanding
- If less than 4 GB of swap space is configured or a manual memory/swap limit
is set, this can cause unexpected restarts, for example, when the indexer
temporarily needs more memory to process large files
- High-resolution panoramic images may require additional swap space and/or
physical memory above the recommended minimum
- We recommend disabling kernel security in your docker-compose.yml, especially
if you do not have experience with the configuration:
```
photoprism:
security_opt:
- seccomp:unconfined
- apparmor:unconfined
```
- If you install PhotoPrism on a public server outside your home network,
always run it behind a secure HTTPS reverse proxy such as Traefik or Caddy:
https://docs.photoprism.app/getting-started/proxies/traefik/
### Troubleshooting ###
If your server runs out of memory, the index is frequently locked, or other
system resources are running low:
- Try reducing the number of workers by setting PHOTOPRISM_WORKERS to a
reasonably small value in docker-compose.yml, depending on the performance
of your device or cloud server:
https://docs.photoprism.app/getting-started/config-options/
- If you are using SQLite, switch to MariaDB, which is better optimized
for high concurrency
- As a last measure, you can disable the use of TensorFlow for image
classification and face recognition
Other issues? Our troubleshooting checklists help you quickly diagnose
and solve them:
https://docs.photoprism.app/getting-started/troubleshooting/
### Is a Raspberry Pi fast enough? ###
This largely depends on your expectations and the number of files you have.
Most users report that PhotoPrism runs smoothly on their Raspberry Pi 4.
However, initial indexing typically takes much longer than on standard
desktop computers.
Also keep in mind that the hardware has limited video transcoding capabilities,
so the conversion of video file formats is not well-supported and software
transcoding is generally slow.
### Getting Updates ###
Open a terminal and change to the folder where the "docker-compose.yml" file
was saved. Now run the following commands to download the most recent image
from Docker Hub and restart your instance in the background:
docker compose pull --platform=arm64 photoprism
docker compose stop photoprism
docker compose up -d photoprism
Pulling a new version can take several minutes, depending on your internet
connection speed.
Even when you use an image with the ":latest" tag, Docker does not automatically
download new images for you. You can either manually upgrade as shown above, or
set up a service like Watchtower to get automatic updates:
https://docs.photoprism.app/getting-started/updates/#watchtower
### Credits ###
A big thank you to Guy Sheffer (https://github.com/guysoft) for helping us
build a Raspberry Pi version!
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