Docker jellyfin hardware acceleration. I've been a long-time user of Jellyfin and love it.

Docker jellyfin hardware acceleration. I have been following this guide .

• Docker jellyfin hardware acceleration 9 RPM Bui by funkmata 2024-07-31, 08:58 PM: Is it possible to add HW Acceleration after initial setup in General Questions Latest post by DaisyLee about 6 hours ago (hardware) ? in General Long-form discussions about Jellyfin packaging (Docker, APT, etc. If you are new to Docker or this application our issue tracker is ONLY used for reporting bugs or requesting features. 4. (Using normal docker-compose in commandline not the synology docker) Hardware Acceleration (HWA) Jellyfin not working on Synology NAS via Docker Help Request Hi, I've been trying for weeks to get HWA working on my DS220+ via Docker. buswedg; Aug 18, 2022; Operation and Performance; Replies 12 Views 15K. 3 release. At the time of writing this post, the latest version is 10. 0 OS: Proxmox 8 + Ubuntu 24. 04 LTS Intel i3 12100 Intel Arc A380 OS drive - SK Hynix P41 1TB Storage 3x WD Red Pro 6TB CMR in RAIDZ1 (JF Library) As of Jellyfin 10. Know your media library When your library (mainly videos codecs) lines up with what your server GPU hardware can decode you will have a smooth transcode experience. If VAAPI is available that should definitely be used because it's faster, supports more codecs Jellyfin Forum Support Troubleshooting Fix Hardware Acceleration using QSV not working. It really seems doable since WSL2 supports D3D12 GPU video acceleration. Edit your go file to include: modprobe i915 , save and reboot, then add --device=/dev/dri to "extra parameters" (switch on advanced view) based hardware acceleration, which is already available in Jellyfin but does not support all features other hardware acceleration methods provide due to lacking support in FFmpeg. 9-1_arm64. 1. 1" services: jellyfin: image: jellyfin/jellyfin container_name: jellyfin user: 1000:1000 group_add: # Change this to Installed Jellyfin for the first time on my 1019+ directly from the community packages (not Docker). Jellyfin Version: 10. It’s time to get logged into your Diskstation via SSH, you can do this in the same way as when you obtained your IDs in the ‘Setting up a restricted Docker user‘ guide. 04 LTS | i7-13700K | Arc A380 6 GB | 64 GB RAM | 79 TB Storage Hi, I have recently gotten started on docker, jellyfin and self-hosting, so apologies in advance if I miss some things. I swapped to the Docker version set up through Container Manager so I could get the HW acceleration working. Your machine should be more than capable if you aim for media that is fully compatible with your hardware or keep two separate libraries of 1080p or non-HDR Exit the container (exit), and restart it (docker-compose restart jellyfin) Head to the Jellyfin dashboard and go to the Hardware Acceleration page (Admin Dashboard -> Playback). I've tried both an Nvidia RTX 3060 using NVEMC and a RX 6600 with VA SOLVED: Hardware Acceleration Problems Jellyfin 10. 8. The Solution. My setup: proxmox ve --> debian VM --> docker --> jellyfin I setup GPU passthrough successfully from PVE to debian Output of lshw -C display in debian host: *-display description: VGA compatible controller product: DG2 [Arc A380] vendor: Intel Corporation physical id: 0 bus info: pci@0000:01:00. Make note of the group. Open comment sort options Settings: Assuming you mean the hardware acceleration settings, I've only tried VAAPI pointing at "/dev/dri/renderD128" as mentioned this seems to be working. Just ssh onto your synalogy and jellyfin docker 2: Follow and install the Nvidea docker container per the instructions found on the official Official jellyfin documentation under the "Debian Docker Nvidia" section. This decision was made because Raspberry Pi is currently migrating to a V4L2 based hardware acceleration, which is already available in Jellyfin but does not support all features other hardware acceleration methods provide due to lacking support in Hardware transcoding makes media streaming from your NAS faster and more efficient. Here's my setup Ubuntu installed as a virtual machine on my Xenserver This is a tutorial on how to run hardware acceleration for Jellyfin in a Docker container. It’s available for a range of operating systems including Debian 10/11/12 and So 4K transcoding, my understanding, is not dependent upon the hardware acceleration (i. 0 or that VA-API is recommended over AMF. Junior Member. So I tried to take a crack at Hardware Acceleration again, and I am at a complete loss. Started setting up the server and was asked which config mode the hardware acceleration should be u The regular image replaces ffmpeg with jellyfin-ffmpeg. 7. All that is needed for intel hardware acceleration with the official container is: to pass /dev/dri/renderD128 to the container give permission to use that device. 18. yml (in your case portainer UI). Add your media paths, etc. After this you should be able to use your nvidia GPU for hardware acceleration :) If all of this sounds confusing, there is an official page on Jellyfin docs for hardware acceleration. 1" I would like to request the devs for the possibility of using the hardware acceleration of the rk3588, for example in an orange pi 5, if possible due to its capability's in av1 encoding and decoding as well as other codecs. On Windows and Linux NVENC is the only available method. By halexh January 12, 2023 in General Support. kernel 5. When transcoding is turned off, playback works fine on Android devices and PC but struggling. Current Behavior HWA fails to wo I use the 3d accelerated driver and this docker compose code: version: '3. Hello there, I recently moved my jellyfin server from a raspberry pi to a docker container inside a server with Xeon E5 2620 v3 CPU and AMD RX 580 GPU, and while software transcoding works OK (around 100 fps), I have been unable to use hardware acceleration with VAAPI, since I only get 5-10 fps while transcoding H264, and I cannot watch anything like that. Docker isn’t virtualizing a whole computer that needs exclusive access to hardware to I will be using Intel Quick Sync Video as hardware acceleration to transcode, it should be able to handle 8 1080p and 2 4k (As far as i have read many places) I run Jellyfin 10. yml. YMMV. Hey guys! I'm trying to get hardware acceleration working within my JellyFin container Here's my setup: Docker Container (docker-compose) for JellyFin Host: Arch linux GT 710 passed into container wit Enabling the raspberry pi model 4b with hardware acceleration does not work in docker following the documentation. If using the linuxserver image, you can have hardware acceleration with a kernel <6. In general, start a piece of media in Jellyfin that needs transcoding (or artificially initiate it with the bitrate limiter in the web client) and check whether your CPU has spiked This was tested against Intel Quicksync on Ubuntu 20. This is my docker-compose file: Code:version: '3. yml add (section alongside volumes, ports, etc): devices: - /dev/dri:/dev/dri « Next I have been following this guide . 10 installed via Docker 4. Hardware Acceleration. So all works fine without Hardware Acceleration but sometimes it Bugs when more then Hello everybody, I'm trying to set up jellyfin using docker (compose) and get hardware acceleration to work. so thats not an option sadly, otherwise it would be SOLVED: nvidia hardware acceleration gtx 1070 on standalone jelly fin on openmediavault (headless debian 11) bond-title-bond Offline. The NVENC/NVDEC are the proprietary video codec APIs of NVIDIA GPUs, which The only thing that I would like to fix, but never got around to, is that all of the transcoding (of which I do very little, to be fair) happens on the CPU because I cannot figure To enable hardware acceleration in Jellyfin, go to Dashboard-> Playback-> Transcoding. EDIT: I'm running version 10. Jellyfin runs as a Docker Container on Ubuntu 20. Community Moderator. Rockchip added support for AV1 acceleration in their Unable to get hardware acceleration on Jellyfin as a docker container with 10th gen Intel . Posts: 12 Threads: 5 Joined: 2024 Jul Reputation: 0 Country: #1. It will ask your password, after enter your password, it should Install Jellyfin via Docker on OpenMediaVault 6. github. If you have never used Jellyfin, it is an alternative to a popular media server called The Jellyfin server uses a modified version of FFmpeg as its transcoder, namely jellyfin-ffmpeg. 0 on a Mac Mini with M1 chip. I use Windows 11 Pro 23H2 with WSL2 and I have an AMD Ryzen 9 CPU with integrated graphics. Nvidia driver dont work in jail for hardware acceleration. Hardware acceleration makes it possible to transcode AV1 streams on the fly. Install Jellyfin with Docker and enable it for hardware acceleration : Inside your Ubuntu guest, make sure your iGPU is detected : cd /dev/dri && ls -l This command should show this line : crw-rw---- 1 root render 226, 128 Jun 22 02:02 renderD128 renderD128 is usually your iGPU. Search privately. 09. It is an alternative to the proprietary Emby and Plex, to provide media from a dedicated server to end-user devices via multiple apps. I'm running debian 12 the processor is an Intel N100, the /dev/dri files exist and my compose file looks the following (per the documentation): . Hi, i have no experience with the official jellyfin docker image and (i)gpu passthrough, but the linuxserver. Here is the output of sudo lshw -c Hey all, sorry if this is super simple, but is it possible to give my Jellyfin container access to my AMD gpu for hardware transcoding? All the guides I find are centered around Nvidia and I can't for the life of me figure out how to do this, or if it's even possible with an AMD gpu at this point. JellyFin: 10. Then within the Jellyfin web interface go to Settings (the three lines on the top-left) -> Dashboard -> Playback and switch to Jellyfin Docker Image: jellyfin/jellyfin Docker Compose Version: 3. The better way is to update the permissions and then pass it in with the initial Docker container creation, something the Synology Docker UI provides no controls to actually do. 226 or later, you have to set the container_use_dri_devices flag in selinux or the container will not be able to use it: sudo setsebool -P container_use_dri_devices 1. 0. 9 RPM Bui by funkmata 2024-07-31, 08:58 PM: Client Development. With Jellyfin moved I managed to run jellyfin with hardware acceleration on my TS-253A. Sometimes I have to do 'docker start jellyfin' or 'docker stop jellyfin' as well. Read the article for details and how to setup. yml and save it in the ‘docker‘ folder SSH and Docker-Compose. I hope this helps someone who is looking to do something similar. Test Jellyfin ffmpeg if it can transcode and iGPU is visible. Use docker compose. sh. io But that didnt work for me, it only lists drm under the HW acceleration options in the log. Hardware transcode to 512MB RAM drive which is notably increasing speed of writing and reading files. 3 (Docker) I'm trying to enable hardware acceleration in Jellyfin and am having some trouble giving the docker container access to my GPU. Add the NVIDIA_VISIBLE_DEVICES=all environment variable . This may be another. I read the documentation on Hardware Acceleration, and specifically HA in docker but I would need some help regarding the kind of acceleration possible in my case. Edit your docker image of jellyfin inside Unraid and it tells you what you need to do: Intel GPU Use. In the Jellyfin webui under Dashboard > Playback, I set hardware acceleration to "Video Acceleration API (VAAPI)" and set VA API Device to "/dev/dri/renderD128" I know for instance if you want AMF support in the linuxserver/jellyfin docker image there's an add-on you need to install with it to add the appropriate driver to the container. com I'm running the latest OpenMediaVault and the latest Jellyfin is installed in Docker. to adjust things in case im away using portainer. This page covers what you need to know in order to select appropriate hardware for a Jellyfin server and take full advantage of its features (e. Hello, I used docker compose stack on portainer to create jellyfin, I was wondering how to see if hardware acceleration is working? Here is the compose file I used through portainer stacks version: "2. e. I have everything up and running (using docker-compose, see . 7; Hardware settings & device: Intel Celeron J4105 with iGPU; Other hardware notes: NFS Share from NAS; Client System (please complete the following information): In order to use hardware acceleration in Docker, the devices must be passed to the container. If you haven't restarted after installing the NVIDIA container runtime, please stop jellyfin and restart your PC for the runtime to apply. However, not all hardware supports hardware acceleration, so it's essential to check if your specific setup does. This post is about how I made hardware acceleration work in a Jellyfin-container managed with Podman. 2. I have finally got everything to work both locally and remotely, so now I would like to enable hardware acceleration, but am having some trouble. 6 Install method: Docker Engine container CPU: Intel i5 3470 GPU: Nvidia Quadro P400 New to Linux and I've managed to get a Docker install with Home IMO, it is probably easier to just install Jellyfin and your other apps directly on Windows. The downside is that decoding and encoding is very demanding on the CPU. If you are familiar with Linux, install Ubuntu/Debian and run Jellyfin in docker. TL;DR Below is a list of recommended specs to run Jellyfin. 7) and running Docker 18. Add the runtime: nvidia option . g. deb) check the files in the device folder (dma_heap, mali0, mpp_service, rga exist and accessible in the docker container) Docker container: jellyfin/jellyfin:latest (dashboard says jellyfin version 10. It will set up Jellyfin and pass in the volumes it needs to mount. jellyfin/jellyfin did not work with HW acceleration out-of-the-box for me. I followed this guide : Jellyfin-in-docker hardware acceleration for transcoding on macOS | oliverbley. 8' services: jellyfin: image: jellyfin/jellyfin container_name. Currently running Rocky 8 Linux with Jellyfin though a docker container. For some reason i need to switch from native service to Docker (there're a few different reasons, mainly a change in connection to network (i need to use a separate VPN connection for JF) and a general portable setup- all my other software like *arr stack is already in Docker. io (which btw is an official distribution by Jellyfin's documentation), running version 10. So we will install the version 10. 3 LTS - Intel i5-6400 - Jellyfin Version 10. Copy the Jellyfin folder to it. I'll admit that I am very new to the whole NAS thing, but I feel that there isn't much help to get. 6 and installed Jellyfin on my Synology NAS through docker. Know what your server and playback hardware is capable of 3. When I have hardware acceleration (in Jellyfin) set to None, and I play a video, it all goes to 100% as expected. Hardware acceleration isn’t always necessary, especially if you’re using lower-quality 1080p files. I have understood so far that I have to make a passthrough in Docker, but I can't really find any explanation for that. AMD on Windows AMD Radeon RX 5000 and newer RDNA series integrated and discrete GPUs Oh I didn't notice, when I choose from the hardware acceleration drop down box, depending on which option I choose, the UI pre-selects certain codec/formats. I’m trying to use hardware acceleration inside my docker container (using wernight/plex-media-server:autoupdate image) and it fails. My jellyfin block from my docker-compose below. Once we are in the right place, we can begin to write the Docker Compose file for the Jellyfin media server. I've tried (by my known) all earlier posts/tutorials on Reddit and referenced YT links (e. The following assumes your media is all under a folder called /volume1/media. In Jellyfin docker exec shell (I am using portainer so I am doing this via WebUI Shell to docker image) I went through all the steps for hardware acceleration and I'm pretty sure I did it all correctly. Solution: Read /etc/group file to find the id for render and added that to my docker run script:--group-add="122" \ # Change this to match your system Then open your Synology shared folder on your computer using location \\<your synology ip>\docker. hardware acceleration). Under Hardware acceleration choose Rockchip MPP (RKMPP) and enable hardware decoding for H. Confirmed via the nvidia-smi app that it transcodes via the GPU (plus the fact that my CPU is an older one and doesn't support hardware transcode so it would spike up It saves a lot of storage space and network bandwidth due to smaller file size. Change the Hardware Acceleration dropdown to Intel Quick Sync. Yet I'm using a gaming PC as a jellyfin host, with docker under WSL2. Replace the group_add value with the GID of the render group on your PC. , the iGPU in your NAS) but on the CPU due to tonemapping, which can tax less powerful machines. As OMX doesn't work on 64bit (and is getting deprecated anyway) it is suggested in different p The best privacy online. 2 as long as you use the DOCKER_MOD for jellyfin. Finally, we need to configure Hardware Acceleration for Jellyfin on Proxmox. I've been a long-time user of Jellyfin and love it. 1 (Docker compose) using Intel Celeron J4125 Hardware acceleration is activated with options specified in the attached PNG files. 10 or newer. As of Jellyfin 10. However, I'm using the Jellyfin/Jellyfin Latest release rather than linuxserver/jellyfin. Here is my docker-compose:--- version: "2. 2024-07-26, 06:00 AM . I'm on the go right now and can't provide detailed sources but this is the documentation on transcoding. com) Which was fine, but 2 years old, and a bunch of stuff has changed since then. I've been digging into this, and it should be possible without too much pain -- although I haven't tried it with JellyFin. 10. I did expand the RAM from 2 to 6 GB, which helped a lot when running other services simultaneously. 9. Repos and packages are slightly different, nvidia-opencl-icd package is not mentioned anymore. I've been running jellyfin through docker on the DS220+ for about 2 months. Linux QSV supported platforms are limited to Hardware accelerated transcoding is supported on NVIDIA GPUs since Maxwell architecture. I am running Jellyfin using Portainer and the following docker-compose. 7. yml file: Code:version: "2. AV1 encoding support in Jellyfin 10. If I turn off hardware acceleration, it may occasionally drop a frame or stutter, but less than with using the Jellyfin 10. $ docker exec Jellyfin mkdir /scripts $ docker cp enable_IQS. It will install the needed packages on docker container to take advantage of intel hardware. It is builded base on latest alpine, with smaller size and fix the ffmpg decode, hardware drivers and chinese shown in garbled problems et,al. 9 and newer versions. A Compose file is like a set of instructions for Docker to follow. The supported and validated video Jellyfin version: 10. This page lists all known issues and limitations of hardware acceleration with Jellyfin. there is however no support for hardware acceleration on docker desktop for windows. sh Jellyfin:/scripts/ $ docker exec Jellyfin /scripts/enable_IQS. A variety of posts exist about how to get hardware acceleration working in Jellyfin or any other Docker-based media server software installation. I have no clue what-so-ever as to how to get hardware acceleration on my jellyfin container. It's remarkable how far docker and hardware pass-through have come over the last few years. 04. Nov 2, 2023. I have a AMD HD6950 and an Intel i7-2700k iGPU. S905X3 is packed with Mali-G31 . Voters +11 more. The main struggle was to get access to /dev/dri with root privileges and here is how I did it: 1) Prepare folders The reason apparently was that the jellyfin storage area had changed. The most recent thread I found was this one - Problem with hardware acceleration and transcoding - running on a Synology with Intel Celeron J4025 CPU : jellyfin Hello Jellyfin Forums I'm trying to set up hardware acceleration for trans-coding support on the 2024042215 (latest nightly build). PnoT. Posts: 20 Threads: 2 Joined: 2024 Jun Reputation: 0 Country: #11. 2. If you are migrating from jellyfin->linuxserver for this, the existing /config and /cache mounts will not work as-is Hi There, I'm running Jellyfin on linux docker with linuxerver jellyfin version. Hardware acceleration. It didn’t appear to offer HW acceleration when I used it. As for Hardware Acceleration on the Pi via docker, use this flags: And this is instructed on the GitHub page. When I go to the setup in jellyfin I still get the message that additional setup is needed. Adjust the Decoding and Encoding checkboxes according to your hardware's capabilities. alpine does not support hwaccel because it lacks the propreitary driver support for most hardware acceleration Transcoding in TrueNAS Scale via Jellyfin Docker. Even though Jellyfin will work on even lower end hardware, the following specs are recommended for a good experience. The Geekom PC we Setting up Jellyfin. sudo apt install firmware-amd-graphics Enter commands: sudo usermod -aG video jellyfin and sudo systemctl restart jellyfin Jellyfin-in-docker hardware acceleration for transcoding on macOS With Jellyfin on macOS, to get hardware acceleration for transcoding videos working, it has to be installed as an native app. A simple test you can try is to deactivate the Hardware Acceleration on jellyfin and see how the CPU% compares to when acceleration via Hi, I am a absolutly Newby on Jellyfin as Media Server. 3 (Docker) - Proxmox --> ubuntu server vm --> docker --> jellyfin. It has no hardware acceleration support. Brave is on a mission to fix the web by giving users a safer, faster and more private browsing experience, while supporting content creators through a new attention-based rewards ecosystem. I have no clue what-so-ever as to how to get hardware acceleration on my jellyfin container. Full HWA support for RK3588 is done in Jellyfin 10. 2 Long-form discussions about Jellyfin packaging (Docker, APT, etc. Also added /dev/dri as a device, because for the Hardware Acceleration from my DS918+ and added VAAPI in the settings of jellyfin. 04 LTS Intel i3 12100 Intel Arc A380 OS drive - SK Hynix P41 1TB Storage 3x WD Red Pro 6TB CMR in RAIDZ1 (JF Library) I am new to NAS and Jellyfin and I'm having trouble getting HW acceleration to work on my DS224+. Here are my current settings under Dashboard -> Playback -> Transcoding: I am trying to transcode this file: The video seems to load indefinitely. Oct 17, 2022. Posts: 4 Threads: 1 Joined List everything under /dev/dri/rendererD* and try running vainfo --display drm --device &lt;device&gt; on each and parse the output. Warning. 04 server and I'm having trouble getting hardware acceleration to work. I have Jellyfin installed natively, not Docker. Within docker-compose. Here's my setup Ubuntu installed as a virtual machine on my Xenserver Jellyfin as a docker container on my Ubuntu Virtual Machine(with config and media folder mounted as volume) Thank you!! Spent hours trying to get Intel Quick Sync (QSC) hardware acceleration working inside Jellyfin running within the Docker application on my Synology 1019+ NAS and these steps worked! Would love to know how to do this without giving root privs to the Jellyfin container :( Transcoding broke with one of the new releases. Once you have logged in you will need to give 2 commands, you can copy and paste these For testing, can you spin up a jellyfin/jellyfin docker image? I've found that the LSIO docker image behaves differently than the official image in a lot of weird ways. 0 logical name: /dev/fb0 version: 05 width: As the title reads, I'm trying to get hardware acceleration to work using QSV. It could potentially alleviate the strain on your system and result in smoother playback experiences without the fan going wild. There is a recommended hardware acceleration table, but that states Linux - QSV, NVENC, AMF, VA-API. I have tried numerous times and it does not work, either there is a bug within the docker image for arm or I have jellyfin 10. so i just modified the jellyfin docker template with the new storage location, reinstalled stash-s6 is my project, there is also stash-jellyfin, a manual build from source and my other personal project, stash-cuda. Tested with linuxserver/jellyfin. Did not change anything with the go file, just installed intel-gpu-top, added the parameter to the jellyfin docker and selected quicksync for hardware decoding. 1 installed in docker on ubuntu 20. Expected Behavior Enabling VAAPI hardware acceleration in Jellyfin should work in its default configuration. I am pretty new to docker containers. There is a "lite" image that's based on Alpine linux for a smaller, more secure container. However when trying to enable subtitles for AV1 videos, Jellyfin will get stuck forever, while it plays the Hi there, im successfully running Jellyfin "vanilla-dockerized" in my TrueNAS SCALE Can anyone help me how to properly get Hardware-Acceleration I have an Unraid machine, with an i7-7700k cpu. Help Request Hello, I already spent hours trying many things to get hardware acceleration on Jellyfin, reading the documentation, questions and answers found on google, but I did not manage to find out what it going wrong on my computer. Long-form discussions around Jellyfin client development Budget hardware feedback by TheDreadPirate Yesterday, 04:18 PM: Media. Share: Facebook Twitter Reddit Pinterest Hi all, Edit: Solution found for me, adding it to the top of my original post here in case anyone comes across a similar problem. 10. Current Behavior First issue is with the default transcode directory. Depending on the drivers you're running and the host OS, you may have to move things around. jellyfin-ffmpeg contains multiple patches and optimisations to enable full hardware transcoding and is more performant than the regular ffmpeg binaries. 3 (Docker) Ubuntu 24. (ffmpeg - hwaccels only states FFmpeg support, not hardware support) This shows all available codecs on VAAPI capable device. and I have downloaded jellyfin in a docker, but straight from the app center. talkativetrex Offline. Note that my motherboard does not have an output for the iGPU. I use the Motherboard ASRock J5040-ITX CPU Intel Pentium Silver J5040 (Gemini-Lake Refresh) with 8GB RAM and as Receiver/Player I have a Anrdoid TV from Sony. 12-12. There’s no actual hardware pass through going on here. I didn't realize that. Runs like a dream! cd /opt/stacks/jellyfin Writing a Docker Compose File for the Jellyfin Media Server. 8 hardware acceleration on Raspberry Pi via OpenMAX OMX was dropped and is no longer available. picarica; Jan 24, 2023; Applications and Jails; Replies 13 Views 3K. I've chosen the option 'Full - decode, filters, encode' What you've described is setting Jellyfin for Hardware acceleration for playback. But I want to install Jellyfin as a Docker container inside WSL2. TheDreadPirate Offline. If anyone has any insight into how i Hi, I've been using the official docker image[1] and enabled hardware acceleration which has been working fine in most cases. 0 or later. Jellyfin Forum Support General Questions hardware acceleration for windows docker. Share Add a Comment. It enables the Jellyfin server to access the fixed-function video codecs, video processors and GPGPUcomputing interfaces provided by vendor of the installed GPU and the operating system. But it’s likely not needed anymore since Jellyfin-ffmpeg 6. Using the syno docker app is a big hot mess. Looking to understand which settings I should chose for the hardware acceleration on my Beelink server. The system works great, I can easily manage libraries, run plugins and more, but couldn't manage to make Hardware Acceleration work docker command from the jellyfin doc pages [docker command] installed libmali (sudo apt install . /libmali-valhall-g610-g13p0-gbm_1. nvidia-smi doesn't show anything different. Works for intel 12500 This information would be very helpful to have in the Jellyfin hardware acceleration docs. The official JellyFin Hardware Acceleration page should be consulted before installing anything, as well as the Debian official support page for Nvidia cards. 04 CPU: 2xIntel Xeon E5-2690 v4 (28c/56t) RAM: 256GB DDR4 GPU: Intel Arc A380 Rack: HPE DL380 Gen9 Storage: 260TB 100TB ZFS RAIDZ3 HDD 150TB ZFS RAIDZ3 HDD Hardware Acceleration on DS218+ How do I get the HW acceleration working? Spawnie Offline. With hardware acceleration To use hardware acceleration, you need to allow the container to access the render device. This decision was made because Raspberry Pi is currently migrating to a V4L2 based hardware acceleration. Jellyfin will fallback to software de- and encoding for those usecases. However, even after I have enabled hardware acceleration through the Jellyfin admin dashboard (Intel Quicksync QSV) I noticed that CPU usage is still Hello, Here are my specs: Jellyfin version : 10. Adding the dev/dri dev/dri to the variables section doesn't work (I'm not actually sure it would go there though). r/homeassistant • I'm excited to share that after countless hours of hard work on optimization, stability and bug fixing, Bubble Card v1. It has something to do with the Render Group being required now But, Can't figure out how to get the render group from my NAS to then add the group to the ENV variables for the Jellyfin docker instance. 264 , HVEC , HVEC 10 bit and Hardware Acceleration and Docker Jellyfin on Docker Engine hardware acceleration with a P400. When your library lines up with what your playback hardware can decode you will have a smooth direct play experience. Select the Person Icon in the top right, then Dashboard (under Administration), Playback, and change Hardware Acceleration to Intel QuickSync (if you’re using an Intel CPU), check off the hardware acceleration options, and Save at the bottom. And gives me peace Building a Mini PC Home Server running Docker and Jellyfin with hardware acceleration in LXC Containers on Proxmox. Second, forward it in docker via the docker-compose. 13-1-ls2. In this step by step guide I will show you how to install Jellyfin with Hardware Transcoding on your Synology NAS using Docker & Portainer. I have Jellyfin 10. g. missmintygreen Offline. But how do I check? They say run "docker exec -it jellyfin nvidia-smi" which I did and got information back. Jellyfin is a Free Software Media System that puts you in control of managing and streaming your media. ) 7: 23: EL9 Jellyfin 10. Posts: 8 Threads: 2 Joined: 2023 Nov Reputation: 0 Country: #1. io image uses a docker mod to make the linuxserver/jellyfin ¶. Expected Behavior HWA should work. I don't think there is any mention of the things that you brought up now, i. so i would like to keep using docker. Many desktop applications need access to a GPU to function properly For Jellyscrub you need to go into the plugin settings and enable Hardware Acceleration. Posts: 12,101 Threads: 10 Joined: 2023 Jun Reputation: 354 Country: #14. Jellyfin have brought in support for hardware acceleration on Rockchip from version 10. Sort by: Best. When I select Nvidia NVENC (with only HVEC 10bit and VP9 10bit UNselected) for decoding AND Hardware encoding options-> Enable hardware encoding UNselected, and I play a video, the CPU I'm pretty new to Jellyfin and am having some issues watching media in the GUI using Unraid with hardware acceleration turned on - I'm using the linuxserver docker, turned on QSV and I can watch one file (tv show ripped from blu ray) but can't watch a What kind of hardware acceleration are you referring to? With Intel, you can install the intel_gpu_top program (I think the package is intel_gpu_tools) and verify. I'm struggling to find a way, if possible, to use dedicated AMD RX6600XT GPU that the PC has as a hardware acceleration method in jellyfin, is it possible in WSL2? if you just had used the native windows version you would've had hardware acceleration running from the getgo so Is there a way to use the docker GUI to get hardware acceleration set up. Noob questions: Is graphics card pass thorough the same as jellyfin hardware acceleration? does it mean I need to pass through my gpu on my ubuntu server vm? and after that hardware acceleration will Known Hardware Acceleration Issues and Limitations. 🎯 Tutorials, comparisons, reviews: https: Hello. I would be very pleased with pointers to documentation, but of course a specific answer to my case would be awesome :) Is there a reason you're mounting jellyfin-ffmpeg as a volume? The container already includes jellyfin-ffmpeg. 8 Hardware Acceleration Devices: /dev/dri /dev/dma_heap /dev/mali0 /dev/rga /dev/mpp_service When transcoding is enabled, playback fails on Android devices and PCs. In my homelab — that is, this write-up doesn’t attempt to be an exhaustive tutorial. version: "2. On Linux there are two methods: Linux VA-API supports nearly all Intel GPUs. 1" services: jellyfin: image: jellyfin/jellyfin:latest But I am totally struggeling with the pass through for HW acceleration, and as the community version is directly installed, I am wondering if this makes HW access easier. 1-2 already implements the changes and requires Jellyfin 10. Code. 7 Docker on sinology NAS DS423+ with DSM 7. I run jellyfin in a docker container on a linux server with the --user option as 1000:1000(my non root user) I followed the guide for gpu acceleration with nvidia, but run into a problem on the last s Also confirm that you installed the NVIDIA driver and container toolkit (steps 1 and 2 in the virtualized hardware acceleration guide). Then ssh to your Synology, type cd /volume1/docker/Jellyfin to get inside the Jellyfin folder you just uploaded, and run sudo docker-compose up -d. yml), but am just unsure if I'm supposed to pick low power, QSV, or VA-API. Install the nvidia driver and docker runtime. Pages (2): « Previous 1 2 . at first awesome work r/jellyfin team! How do I get on Jellyfin (Synology > Docker) hardware acceleration activate? I'm using the Synology DS916+ (CPU: INTEL Pentium N3710) with HWA Support Is there anything else to do? Thank you. On Windows QSV is the only available method. Specs: - Ubuntu 22. Following official docs . I have Jellyfin installed through the Synlology Package Center, version: 10. I'm also not sure about which codecs to have enabled versus disabled. Run dockerized Jellyfin while using ffmpeg with videotoolbox hardware acceleration for transcoding on the macOS Docker host. 2023-11-03, 05:09 PM . 0 now operates with almost zero resource consumption once loaded (tested on a full Bubble Card dashboard). I'll try it with Hi, I'm attempting to use HW (VA API) Acceleration in docker and can't get it to work. First, figure out what type of hardware transcoding you have and want to use. S. 3: Install a fresh copy of Jellyfin on Docker with no special configuration during the Good evening! I'm trying to get hardware acceleration to work in the Jellyfin container on a RPi4 64bit OS (Manjaro ARM), so far without luck. Jellyfin 10. Docker compose template for jellyfin with NVIDIA Hardware acceleration - CDM56/Jellyfin-nvidia-compose You are dealing with docker, your hardware and jellyfin. From the official Jellyfin documentation here (https:/ You need to change the ‘File name’ to jellyfin. 2024-06-12, 11:53 PM (2024-06-12, 10:41 PM) TheDreadPirate Wrote: I'm wondering if there are mismatched drivers or something. 1 on a older Chrome Box (Running Libreelec) with a Intel Celeron 2955U Enabling hardware acceleration in Jellyfin, if supported by your hardware, can be a great idea. I'm trying to follow the instructions in this link but I'm stuck at step 3, as the CasaOS UI doesn't seem to provide any way to set the runtime to nvidia in the docker-compose file. 15+, Vega, Jellyfin 10. 9 official Jellyfin/Jellyfin docker image. This is my docker-compose config: https://pastebin. I know that plex will not work on the AMD card, but I’d like to use the iGPU. So I am trying to setup Intel GPU acceleration on my server, but I'm running Jellyfin in Docker and I do not have a jellyfin user because of that. 5' services: jellyfin: image: jellyfin/jellyfin container_name: jellyfin If hardware acceleration is working, will Jellyfin lower the resolution of the stream instead of buffering? In either case, how do I verify that hardware acceleration is actually happening? I'm suspicious that hardware acceleration isn't working because of (1) the buffering and (2) when I check my GPU's usage with intel_gpu_top, I see this: Setting up Jellyfin Hardware Acceleration - 12600k Setting up Jellyfin Hardware Acceleration - 12600k. Browse privately. The Spent hours trying to get Intel Quick Sync (QSC) hardware acceleration working inside Jellyfin running within the Docker application on my Synology 1019+ NAS and these steps worked! Hardware accelerated transcoding is supported on most Intel GPUs. P. Will not work with NVIDIA. I'm using TrueNAS core, but still, same should more or less apply, at least for QuickSync. How I enabled hardware acceleration by entering these commands: Install firmware-amd-graphics in OpenMediaVault, make sure to add all non-free repositories. Here is the docker-compose file I am using. 1" services: jellyfin: image 9. Login; sudo docker exec -it jellyfin /usr/lib/jellyfin-ffmpeg/vainfo --display drm --device /dev/dri/renderD128 I have been trying to fiogure out how to get HW acceleration working with jellyifn running in docker. Should be good, it has a J4025 CPU which has good hardware acceleration support in its integrated GPU. To see what video devices are available, you can run sudo lshw (2023-11-21, 02:02 PM) tmsrxzar Wrote: hardware acceleration failed when trying to transcode i would not begin to know how to set that up on a QNAP NAS but luckily the developer included instructions # Pull the latest Jellyfin Docker image from Docker Hub docker pull jellyfin/jellyfin:latest Just got done getting Jellyfin setup, and thinking I should add a GPU for the HW acceleration. Sam Fisher) without success. Since Jellyfin is a Free Software Media System that puts you in control of managing and streaming your media. I enabled hardware acceleration (Apple Video Toolbox) but don't see any indication of it working in my logs when I play a video. Please use our discord server for general support. 04 LTS I'm trying to get jellyfin to work with hardware acceleration inside a docker container. Whereas when Jellyfin is hosted inside a Docker container, then jellyfin-ffmpeg, that is used for transcoding videos, has no access to the videotoolbox Figuring this out with a 13700K was a nightmare. 04 and Docker, so my Jellyfin installation is using the latest image of linuxserver. 0 LSIO Docker | Ubuntu 24. 💡 Note: This guide works perfectly with the latest Jellyfin HT 10. 3. . 13 (through docker) FFmpeg logs: ffmpeg version 5. If you are using container-selinux-2. I am following this video, as it seems that it has gotten a good response I have detailed out the whole setup process of preparing the server and setting up Jellyfin with hardware acceleration with docker and docker-compose. 13. soleous. Deploy Jellyfin Docker container. As I mentioned in the description, I am running Jellyfin through CasaOS. This setup can significantly speed up transcoding times on macOS. If I just use the installer for Windows and enable the hardware acceleration, it will work without any problem. My docker run command is attached. 10 with a one-node Docker Swarm. I've also attached the lspci response on the host (green) and the doc Hardware Acceleration Intel i7-9700 Hardware Encoding not being detected. I'm running the latest docker build (10. I'm running it using Ubuntu 22. I am using Docker to run Jellyfin and I have a docker-compose file for the same. I had to move to a different kernel, install an SDK because the instructions on the newest drivers were awful, and actually remove the non-free package as it caused errors when trying to run QSV hardware acceleration. 13) Issue Description When I play a 4K movie with hardware acceleration on, it transcodes it to something Firefox can handle but drops frames or stutters. Using hardware acceleration requires additional setup, so I'd recommend taking a look at the docs for doing so as a starting point: https: Then, in your jellyfin docker-compose. 04 LTS Intel i3 12100 Intel Arc A380 OS drive - SK Hynix P41 1TB Storage 3x WD Red Pro 6TB CMR in RAIDZ1 (JF Library) This clion/jellyfin docker image supply you a better choice for the jellyfin container than offical image. As it does not exist and Jellyfin doesn't create it, it's I started with the original docker image and the docker-compose file in the docs, afterwards tried the linuxserver image. So I've already read this post - (1) Synology Users - How to Enable Hardware Acceleration in Jellyfin Docker : jellyfin (reddit. kqfduk qysid mjfjcop etqn kmffuj qyzavilc puighk cprcb nqyp hpx