docker-jellyfin VS Tdarr

The container's Dockerfile is based on Ubuntu Jammy and performs a straight-up install of the debs from repo.jellyfin.org, so it'll be the same as on any Debian-based system, indeed /var/lib/jellyfin/plugins.

The Linuxserver.io image is, first of all, a 3rd party unofficial image, but with our blessing. They take a base Ubuntu OS image and install our official Ubuntu packages in the Docker environment. On startup it also executes the same binary in the end, so functionally, to anyone who doesn't know any different, they're the same: you get Jellyfin out in the end.

Are you using Docker? If so you’ll probably need to expose the device through to Docker too. Instructions for Pi here, which may or may not work: https://github.com/linuxserver/docker-jellyfin

I'm on an Arch Linux host with linuxserver image (J4005 with UHD600). OpenCL tone mapping does not work out of the box. I have to add DOCKER_MODS=linuxserver/mods:jellyfin-opencl-intel , per this GitHub issue, as an additional environment flag to my docker-compose.yml file, lest ffmpeg complains about not able to find device ocl@va.

If you don't want to migrate to the official one, just wait for https://github.com/linuxserver/docker-jellyfin/pull/155

You could also use tdarr to automate transcoding as soon as stuff enters your library so that it’s direct playable when you decide to watch it, but I’ve never needed to try it

The only place I can find mention of the script is Tdarr_Server is not closing exiftool.exe after use. #423 and tdarr_server.exe crashes often #412

I've had issues with my 11600k and now 11400 in unraid too. Though it's CPU encoding in my case. See https://github.com/HaveAGitGat/Tdarr/issues/777 .

So I read through this issue and I have a couple nodes setup, some with QSV and others with NVENC. The respective node capabilities are designated for exactly one of QSV or NVENC.

Have a look at Tdarr for distributed transcoding. I have it on a few nodes and it’s been pretty easy on the network.

I have created a feature request in the Tdarr GitHub page; https://github.com/HaveAGitGat/Tdarr/issues/772

You can also use tdarr if you have more than 1 file it can auto transcodes multiple files in a directory all at once. https://github.com/HaveAGitGat/Tdarr

or this: https://github.com/HaveAGitGat/Tdarr