[Jellyfin](https://github.com/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.
We utilise the docker manifest for multi-platform awareness. More information is available from docker [here](https://distribution.github.io/distribution/spec/manifest-v2-2/#manifest-list) and our announcement [here](https://blog.linuxserver.io/2019/02/21/the-lsio-pipeline-project/).
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.
This image provides various versions that are available via tags. Please read the descriptions carefully and exercise caution when using unstable or development tags.
More information can be found on the official documentation [here](https://jellyfin.org/docs/general/quick-start.html).
## 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.
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:
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.
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](https://en.wikipedia.org/wiki/Umask) before asking for support.
The [official documentation for ports](https://jellyfin.org/docs/general/networking/index.html) 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.
The [official documentation for environmentals](https://jellyfin.org/docs/general/administration/configuration.html) 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`.
[](https://mods.linuxserver.io/?mod=jellyfin "view available mods for this container.") [](https://mods.linuxserver.io/?mod=universal "view available universal mods.")
We publish various [Docker Mods](https://github.com/linuxserver/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.
docker inspect -f '{{ index .Config.Labels "build_version" }}' jellyfin
```
* Image version number:
```bash
docker inspect -f '{{ index .Config.Labels "build_version" }}' lscr.io/linuxserver/jellyfin:latest
```
## 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 (ie. nextcloud, plex), we do not recommend or support updating apps inside the container. Please consult the [Application Setup](#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:
```bash
docker-compose pull
```
* Single image:
```bash
docker-compose pull jellyfin
```
* Update containers:
* All containers:
```bash
docker-compose up -d
```
* Single container:
```bash
docker-compose up -d jellyfin
```
* You can also remove the old dangling images:
```bash
docker image prune
```
### Via Docker Run
* Update the image:
```bash
docker pull lscr.io/linuxserver/jellyfin:latest
```
* Stop the running container:
```bash
docker stop jellyfin
```
* Delete the container:
```bash
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:
```bash
docker image prune
```
### Via Watchtower auto-updater (only use if you don't remember the original parameters)
* Pull the latest image at its tag and replace it with the same env variables in one run:
```bash
docker run --rm \
-v /var/run/docker.sock:/var/run/docker.sock \
containrrr/watchtower \
--run-once jellyfin
```
* You can also remove the old dangling images: `docker image prune`
!!! warning
We do not endorse the use of Watchtower as a solution to automated updates of existing Docker containers. In fact we generally discourage automated updates. However, this is a useful tool for one-time manual updates of containers where you have forgotten the original parameters. In the long term, we highly recommend using [Docker Compose](https://docs.linuxserver.io/general/docker-compose).
We recommend [Diun](https://crazymax.dev/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:
