linuxserver/jellyfin
Jellyfin is a Free Software Media System that puts you in control of managing and streaming your media. It is an alternative to the proprietary Emby and Plex, to provide media from a dedicated server to end-user devices via multiple apps. Jellyfin is descended from Emby's 3.5.2 release and ported to the .NET Core framework to enable full cross-platform support. There are no strings attached, no premium licenses or features, and no hidden agendas: just a team who want to build something better and work together to achieve it.
Simply pulling
lscr.io/linuxserver/jellyfin:latest should retrieve the correct image for your arch, but you can also pull specific arch images via tags.The architectures supported by this image are:
Architecture | Available | Tag |
|---|---|---|
x86-64 | ✅ | amd64-<version tag> |
arm64 | ✅ | arm64v8-<version tag> |
armhf | ✅ | arm32v7-<version tag> |
This image provides various versions that are available via tags. Please read the descriptions carefully and exercise caution when using unstable or development tags.
Tag | Available | Description |
|---|---|---|
latest | ✅ | Stable Jellyfin releases |
nightly | ✅ | Nightly Jellyfin releases |
Webui can be found at
http://<your-ip>:8096Hardware acceleration users for Intel Quicksync will need to mount their /dev/dri video device inside of the container by passing the following command when running or creating the container:
--device=/dev/dri:/dev/driWe will automatically ensure the abc user inside of the container has the proper permissions to access this device.
To enable the OpenCL based DV, HDR10 and HLG tone-mapping, please refer to the OpenCL-Intel mod from here:
https://mods.linuxserver.io/?mod=jellyfin
Hardware acceleration users for Nvidia will need to install the container runtime provided by Nvidia on their host, instructions can be found here:
https://github.com/NVIDIA/nvidia-docker
We automatically add the necessary environment variable that will utilise all the features available on a GPU on the host. Once nvidia-docker is installed on your host you will need to re/create the docker container with the nvidia container runtime
--runtime=nvidia and add an environment variable -e NVIDIA_VISIBLE_DEVICES=all (can also be set to a specific gpu's UUID, this can be discovered by running nvidia-smi --query-gpu=gpu_name,gpu_uuid --format=csv ). NVIDIA automatically mounts the GPU and drivers from your host into the jellyfin docker container.Hardware acceleration users for Raspberry Pi MMAL/OpenMAX will need to mount their
/dev/vcsm and /dev/vchiq video devices inside of the container and their system OpenMax libs by passing the following options when running or creating the container:--device=/dev/vcsm:/dev/vcsm
--device=/dev/vchiq:/dev/vchiq
-v /opt/vc/lib:/opt/vc/lib
Hardware acceleration users for Raspberry Pi V4L2 will need to mount their
/dev/video1X devices inside of the container by passing the following options when running or creating the container:--device=/dev/video10:/dev/video10
--device=/dev/video11:/dev/video11
--device=/dev/video12:/dev/video12
To help you get started creating a container from this image you can either use docker-compose or the docker cli.
---
version: "2.1"
services:
jellyfin:
image: lscr.io/linuxserver/jellyfin:latest
container_name: jellyfin
environment:
- PUID=1000
- PGID=1000
- TZ=Europe/London
- JELLYFIN_PublishedServerUrl=192.168.0.5 #optional
volumes:
- /path/to/library:/config
- /path/to/tvseries:/data/tvshows
- /path/to/movies:/data/movies
ports:
- 8096:8096
- 8920:8920 #optional
- 7359:7359/udp #optional
- 1900:1900/udp #optional
restart: unless-stopped
docker run -d \
--name=jellyfin \
-e PUID=1000 \
-e PGID=1000 \
-e TZ=Europe/London \
-e JELLYFIN_PublishedServerUrl=192.168.0.5 `#optional` \
-p 8096:8096 \
-p 8920:8920 `#optional` \
-p 7359:7359/udp `#optional` \
-p 1900:1900/udp `#optional` \
-v /path/to/library:/config \
-v /path/to/tvseries:/data/tvshows \
-v /path/to/movies:/data/movies \
--restart unless-stopped \
lscr.io/linuxserver/jellyfin:latest
Docker images are configured using parameters passed at runtime (such as those above). These parameters are separated by a colon and indicate
<external>:<internal> respectively. For example, -p 8080:80 would expose port 80 from inside the container to be accessible from the host's IP on port 8080 outside the container.Parameter | Function |
|---|---|
8096 | Http webUI. |
8920 | Optional - Https webUI (you need to set up your own certificate). |
7359/udp | Optional - Allows clients to discover Jellyfin on the local network. |
1900/udp | Optional - Service discovery used by DNLA and clients. |
Env | Function |
|---|---|
PUID=1000 | for UserID - see below for explanation |
PGID=1000 | for GroupID - see below for explanation |
TZ=Europe/London | Specify a timezone to use (e.g. Europe/London). |
JELLYFIN_PublishedServerUrl=192.168.0.5 | Set the autodiscovery response domain or IP address. |
Volume | Function |
|---|---|
/config | Jellyfin data storage location. This can grow very large, 50gb+ is likely for a large collection. |
/data/tvshows | Media goes here. Add as many as needed e.g. /data/movies, /data/tv, etc. |
/data/movies | Media goes here. Add as many as needed e.g. /data/movies, /data/tv, etc. |
You can set any environment variable from a file by using a special prepend
FILE__.As an example:
-e FILE__PASSWORD=/run/secrets/mysecretpassword
Will set the environment variable
PASSWORD based on the contents of the /run/secrets/mysecretpassword file.For all of our images we provide the ability to override the default umask settings for services started within the containers using the optional
-e UMASK=022 setting. Keep in mind umask is not chmod it subtracts from permissions based on it's value it does not add. Please read up here before asking for support.Service Discovery (
1900/udp) - Since client auto-discover would break if this option were configurable, you cannot change this in the settings at this time. DLNA also uses this port and is required to be in the local subnet.Client Discovery (
7359/udp) - Allows clients to discover Jellyfin on the local network. A broadcast message to this port with "Who is Jellyfin Server?" will get a JSON response that includes the server address, ID, and name. -p 7359:7359/udp \
-p 1900:1900/udp \
The official documentation for environmentals has additional environmentals that can provide additional configurability such as migrating to the native Jellyfin image.
When using volumes (
-v flags), permissions issues can arise between the host OS and the container, we avoid this issue by allowing you to specify the user PUID and group PGID.Ensure any volume directories on the host are owned by the same user you specify and any permissions issues will vanish like magic.
In this instance
PUID=1000 and PGID=1000, to find yours use id user as below: $ id username
uid=1000(dockeruser) gid=1000(dockergroup) groups=1000(dockergroup)
We publish various Docker Mods to enable additional functionality within the containers. The list of Mods available for this image (if any) as well as universal mods that can be applied to any one of our images can be accessed via the dynamic badges above.
- Shell access whilst the container is running:
docker exec -it jellyfin /bin/bash
- To monitor the logs of the container in realtime:
docker logs -f jellyfin
- Container version number
docker inspect -f '{{ index .Config.Labels "build_version" }}' jellyfin
- Image version number
docker inspect -f '{{ index .Config.Labels "build_version" }}' lscr.io/linuxserver/jellyfin:latest
- 07.12.22: - Rebase master to Jammy, migrate to s6v3.
- 11.06.22: - Switch to upstream repo's ffmpeg5 build.
- 05.01.22: - Specify Intel iHD driver versions to avoid mismatched libva errors.
- 25.12.21: - Fix video device group perms error message.
- 10.12.21: - Rework readme, disable template sync.
- 22.09.21: - Pull only the server, web and ffmpeg packages instead of the wrapper.
- 23.06.21: - Add log message if device permissions are incorrect. Pin jellyfin dependency versions to prevent upstream apt repo issues. Deprecate the
bionictag. - 21.05.21: - Add nvidia.icd file to fix missing tonemapping using Nvidia HW.
- 20.01.21: - Add Jellyfin Binary Environmentals
- 20.01.21: - Deprecate
UMASK_SETin favor of UMASK in baseimage, see above for more information. - 23.11.20: - Rebase to Focal, branch off Bionic.
- 22.07.20: - Ingest releases from Jellyfin repo.
- 28.04.20: - Replace MMAL/OMX dependency device
/dev/vc-memwith/dev/vcsmas the former was not sufficient for raspbian. - 11.04.20: - Enable hw decode (mmal) on Raspberry Pi, update readme instructions, add donation info, create missing default transcodes folder.
- 11.03.20: - Add Pi V4L2 support, remove optional transcode mapping (location is selected in the gui, defaults to path under
/config). - 30.01.20: - Add nightly tag.
- 09.01.20: - Add Pi OpenMax support.
- 02.10.19: - Improve permission fixing for render & dvb devices.
- 31.07.19: - Add AMD drivers for vaapi support on x86.
- 13.06.19: - Add Intel drivers for vaapi support on x86.
- 07.06.19: - Initial release.
Last modified 10d ago