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docker-jellyfin/README.md
2024-01-16 12:47:00 +00:00

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linuxserver.io

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The LinuxServer.io team brings you another container release featuring:

  • regular and timely application updates
  • easy user mappings (PGID, PUID)
  • custom base image with s6 overlay
  • weekly base OS updates with common layers across the entire LinuxServer.io ecosystem to minimise space usage, down time and bandwidth
  • regular security updates

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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.

jellyfin

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:nightly 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

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 Unstable Jellyfin releases

Application Setup

Webui can be found at http://<your-ip>:8096

More information can be found in their 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.

MMAL/OpenMAX (Raspberry Pi)

Hardware acceleration users for Raspberry Pi MMAL/OpenMAX will need to mount their /dev/vc-mem 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/vc-mem:/dev/vc-mem
--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.

---
services:
  jellyfin:
    image: lscr.io/linuxserver/jellyfin:nightly
    container_name: jellyfin
    environment:
      - PUID=1000
      - PGID=1000
      - TZ=Etc/UTC
    volumes:
      - /path/to/library:/config
      - path/to/tvseries:/data/tvshows
      - /path/to/movies:/data/movies
      - /opt/vc/lib:/opt/vc/lib #optional
    ports:
      - 8096:8096
      - 8920:8920 #optional
    devices:
      - /dev/dri:/dev/dri #optional
      - /dev/vc-mem:/dev/vc-mem #optional
      - /dev/vchiq:/dev/vchiq #optional
      - /dev/video10:/dev/video10 #optional
      - /dev/video11:/dev/video11 #optional
      - /dev/video12:/dev/video12 #optional
    restart: unless-stopped

docker cli (click here for more info)

docker run -d \
  --name=jellyfin \
  -e PUID=1000 \
  -e PGID=1000 \
  -e TZ=Etc/UTC \
  -p 8096:8096 \
  -p 8920:8920 `#optional` \
  -v /path/to/library:/config \
  -v path/to/tvseries:/data/tvshows \
  -v /path/to/movies:/data/movies \
  -v /opt/vc/lib:/opt/vc/lib `#optional` \
  --device /dev/dri:/dev/dri `#optional` \
  --device /dev/vc-mem:/dev/vc-mem `#optional` \
  --device /dev/vchiq:/dev/vchiq `#optional` \
  --device /dev/video10:/dev/video10 `#optional` \
  --device /dev/video11:/dev/video11 `#optional` \
  --device /dev/video12:/dev/video12 `#optional` \
  --restart unless-stopped \
  lscr.io/linuxserver/jellyfin:nightly

Parameters

Containers 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
-p 8096 Http webUI.
-p 8920 Https webUI (you need to set up your own certificate).
-e PUID=1000 for UserID - see below for explanation
-e PGID=1000 for GroupID - see below for explanation
-e TZ=Etc/UTC specify a timezone to use, see this list.
-v /config Jellyfin data storage location. This can grow very large, 50gb+ is likely for a large collection.
-v /data/tvshows Media goes here. Add as many as needed e.g. /data/movies, /data/tv, etc.
-v /data/movies Media goes here. Add as many as needed e.g. /data/movies, /data/tv, etc.
-v /opt/vc/lib Path for Raspberry Pi OpenMAX libs optional.
--device /dev/dri Only needed if you want to use your Intel GPU for hardware accelerated video encoding (vaapi).
--device /dev/vc-mem Only needed if you want to use your Raspberry Pi MMAL video decoding (Enabled as OpenMax H264 decode in gui settings).
--device /dev/vchiq Only needed if you want to use your Raspberry Pi OpenMax video encoding (Bellagio).
--device /dev/video10 Only needed if you want to use your Raspberry Pi V4L2 video encoding.
--device /dev/video11 Only needed if you want to use your Raspberry Pi V4L2 video encoding.
--device /dev/video12 Only needed if you want to use your Raspberry Pi V4L2 video encoding.

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__MYVAR=/run/secrets/mysecretvariable

Will set the environment variable MYVAR based on the contents of the /run/secrets/mysecretvariable 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.

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 your_user as below:

id your_user

Example output:

uid=1000(your_user) gid=1000(your_user) groups=1000(your_user)

Docker Mods

Docker Mods Docker Universal Mods

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:nightly
    

Updating Info

Most of our images are static, versioned, and require an image update and container recreation to update the app inside. With some exceptions (noted in the relevant readme.md), we do not recommend or support updating apps inside the container. Please consult the Application Setup section above to see if it is recommended for the image.

Below are the instructions for updating containers:

Via Docker Compose

  • Update images:

    • All images:

      docker-compose pull
      
    • Single image:

      docker-compose pull jellyfin
      
  • Update containers:

    • All containers:

      docker-compose up -d
      
    • Single container:

      docker-compose up -d jellyfin
      
  • You can also remove the old dangling images:

    docker image prune
    

Via Docker Run

  • Update the image:

    docker pull lscr.io/linuxserver/jellyfin:nightly
    
  • Stop the running container:

    docker stop jellyfin
    
  • Delete the container:

    docker rm jellyfin
    
  • 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
    

Image Update Notifications - Diun (Docker Image Update Notifier)

tip: We recommend Diun for update notifications. Other tools that automatically update containers unattended are not recommended or supported.

Building locally

If you want to make local modifications to these images for development purposes or just to customize the logic:

git clone https://github.com/linuxserver/docker-jellyfin.git
cd docker-jellyfin
docker build \
  --no-cache \
  --pull \
  -t lscr.io/linuxserver/jellyfin:nightly .

The ARM variants can be built on x86_64 hardware using multiarch/qemu-user-static

docker run --rm --privileged multiarch/qemu-user-static:register --reset

Once registered you can define the dockerfile to use with -f Dockerfile.aarch64.

Versions

  • 03.12.23: - Switch nightly to ffmpeg6.
  • 01.07.23: - Deprecate armhf. As announced here
  • 07.12.22: - Rebase nightly to Jammy, migrate to s6v3.
  • 05.01.22: - Specify Intel iHD driver versions to avoid mismatched libva errors.
  • 25.12.21: - Fix video device group perms error message.
  • 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. Deprecate the bionic tag.
  • 20.01.21: - Deprecate UMASK_SET in favor of UMASK in baseimage, see above for more information.
  • 05.01.21: - Add nvidia.icd file to fix missing tonemapping using Nvidia HW.
  • 23.11.20: - Rebase to Focal, branch off Bionic.
  • 22.07.20: - Install nightly from unstable.
  • 27.05.20: - Set web directory path.
  • 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 v4l2 support on Raspberry Pi; 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.