linuxserver/jellyfin

​linuxserver/jellyfin​
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​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.
Supported Architectures
We utilise the docker manifest for multi-platform awareness. More information is available from docker here and our announcement here.
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>
Version Tags
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
Application Setup
Webui can be found at http://<your-ip>:8096
More information can be found on the official documentation here.
Hardware Acceleration
Intel
Hardware 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/dri
We will automatically ensure the abc user inside of the container has the proper permissions to access this device.
Nvidia
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.
OpenMAX (Raspberry Pi)
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
V4L2 (Raspberry Pi)
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
Usage
To help you get started creating a container from this image you can either use docker-compose or the docker cli.
docker-compose (recommended, click here for more info)
---
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 cli (click here for more info)
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
Parameters
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.
Ports (-p)
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.
Environment Variables (-e)
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 Mappings (-v)
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.
Miscellaneous Options
Environment variables from files (Docker secrets)
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.
Umask for running applications
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.
Optional Parameters
The official documentation for ports has additional ports that can provide auto discovery.
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.
User / Group Identifiers
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)
Docker Mods
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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.
Support Info
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
Versions
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 bionic tag.
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_SET in 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-mem with /dev/vcsm as 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.

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linuxserver/jellyfin

Supported Architectures

Version Tags

Application Setup

Hardware Acceleration

Usage

Parameters

Environment variables from files (Docker secrets)

Umask for running applications

Optional Parameters

User / Group Identifiers

Docker Mods

Support Info

Versions

linuxserver/jellyfin

Supported Architectures

Version Tags

Application Setup

Hardware Acceleration

Intel

Nvidia

OpenMAX (Raspberry Pi)

V4L2 (Raspberry Pi)

Usage

docker-compose (recommended, click here for more info)

docker cli (click here for more info)

Parameters

Ports (`-p`)

Environment Variables (`-e`)

Volume Mappings (`-v`)

Environment variables from files (Docker secrets)

Umask for running applications

Optional Parameters

User / Group Identifiers

Docker Mods

Support Info

Versions

​linuxserver/jellyfin​

Supported Architectures

Version Tags

Application Setup

Hardware Acceleration

Intel

Nvidia

OpenMAX (Raspberry Pi)

V4L2 (Raspberry Pi)

Usage

docker-compose (recommended, click here for more info)

docker cli (click here for more info)

Parameters

Ports (-p)

Environment Variables (-e)

Volume Mappings (-v)

Environment variables from files (Docker secrets)

Umask for running applications

Optional Parameters

User / Group Identifiers

Docker Mods

Support Info

Versions

linuxserver/jellyfin

Ports (`-p`)

Environment Variables (`-e`)

Volume Mappings (`-v`)