mirror of
https://github.com/Squidly271/AppFeed.git
synced 2024-09-21 16:49:52 +00:00
124 lines
8.4 KiB
XML
124 lines
8.4 KiB
XML
<?xml version="1.0" encoding="UTF-8"?>
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<Container version="2">
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<Name>Jellyfin-AMD-Intel-Nvidia</Name>
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<Repository>ich777/jellyfin</Repository>
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<Registry>https://hub.docker.com/r/ich777/jellyfin</Registry>
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<Network>bridge</Network>
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<Shell>sh</Shell>
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<Privileged>false</Privileged>
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<Support>https://forums.unraid.net/topic/102787-support-ich777-jellyfin-amdintelnvidia/</Support>
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<Project>https://jellyfin.org/</Project>
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<Overview>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..
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This version of Jellyfin is optimized for hardware transcoding on AMD Ryzen APU Platforms and also for Nvidia hardware transcoding - Nvidia-Driver Plugin needed (Intel hardware transcoding is only supported up to Coffe Lake 9th gen. for now).
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AMD Hardware transcoding (Please note that you have to be on Unraid 6.9.0beta35 to enable the moduel for AMD):
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- Open up a Terminal from Unraid and type in: 'modprobe amdgpu' (without quotes or you edit your 'go' file to load it on every restart of Unraid - refer to the support thread)
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- At 'Device' at the bottom here in the template add '/dev/dri'
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- In Jellyfin select the VA-API Transcoder at 'Playback' in the Admin section and enable: 'h264', 'HEVC', 'VC1', 'VP9', 'VP8', at the bottom 'Throttle Transcoding' and click 'Save'.
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Intel Hardware transcoding:
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- Download and install the Intel-GPU-TOP Plugin from the CA App
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- At 'Device' at the bottom here in the template add '/dev/dri'
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- In Jellyfin select the Intel Quick Sync Transcoder at 'Playback' in the Admin section and enable: 'h264', 'MPEG2', 'HEVC', 'VC1', 'VP9', 'VP8', at the bottom 'Throttle Transcoding' and click 'Save'.
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Nvidia Hardware transcoding:
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- Download and install the Nvidia-Driver Plugin from the CA App
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- Turn on the 'Advanced View' here in the template and at 'Extra Parameters' add: '--runtime=nvidia'.
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- At 'Nvidia Visible Devices' at the bottom here in the template add your GPU UUID.
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- In Jellyfin select the NVENC Transcoder at 'Playback' in the Admin section and enable: 'h264', 'HEVC', 'VC1', 'VP9', 'VP8' (depending on the capabilities of your card), at the bottom 'Throttle Transcoding' and click 'Save'.</Overview>
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<WebUI>http://[IP]:[PORT:8096]/</WebUI>
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<Icon>https://raw.githubusercontent.com/ich777/docker-templates/master/ich777/images/jellyfin.png</Icon>
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<ExtraParams>--restart=unless-stopped</ExtraParams>
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<PostArgs></PostArgs>
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<CPUset></CPUset>
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<DonateText>Please Donate to the developers of Jellyfin</DonateText>
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<DonateLink>https://opencollective.com/jellyfin</DonateLink>
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<Networking>
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<Mode>bridge</Mode>
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<Publish>
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<Port>
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<HostPort>8096</HostPort>
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<ContainerPort>8096</ContainerPort>
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<Protocol>tcp</Protocol>
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</Port>
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<Port>
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<HostPort>8920</HostPort>
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<ContainerPort>8920</ContainerPort>
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<Protocol>tcp</Protocol>
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</Port>
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</Publish>
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</Networking>
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<Data>
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<Volume>
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<HostDir>/mnt/user/appdata/jellyfin</HostDir>
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<ContainerDir>/config</ContainerDir>
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<Mode>rw</Mode>
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</Volume>
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<Volume>
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<HostDir></HostDir>
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<ContainerDir>/movies</ContainerDir>
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<Mode>rw</Mode>
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</Volume>
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<Volume>
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<HostDir></HostDir>
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<ContainerDir>/tv</ContainerDir>
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<Mode>rw</Mode>
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</Volume>
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<Volume>
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<HostDir></HostDir>
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<ContainerDir>/music</ContainerDir>
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<Mode>rw</Mode>
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</Volume>
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<Volume>
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<HostDir>/mnt/user/appdata/jellyfin/cache</HostDir>
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<ContainerDir>/cache</ContainerDir>
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<Mode>rw</Mode>
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</Volume>
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</Data>
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<Environment>
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<Variable>
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<Value></Value>
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<Name>NVIDIA_VISIBLE_DEVICES</Name>
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<Mode></Mode>
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</Variable>
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<Variable>
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<Value>all</Value>
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<Name>NVIDIA_DRIVER_CAPABILITIES</Name>
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<Mode></Mode>
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</Variable>
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</Environment>
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<Config Name="Data Path" Target="/config" Default="/mnt/user/appdata/jellyfin" Mode="rw" Description="Main data path" Type="Path" Display="always" Required="true" Mask="false">/mnt/user/appdata/jellyfin</Config>
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<Config Name="Movies" Target="/movies" Default="" Mode="rw" Description="Path to your Movie library." Type="Path" Display="always" Required="false" Mask="false"></Config>
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<Config Name="TV Shows" Target="/tv" Default="" Mode="rw" Description="Path to your TV-Shows library." Type="Path" Display="always" Required="false" Mask="false"></Config>
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<Config Name="Music" Target="/music" Default="" Mode="rw" Description="Path to your Music library." Type="Path" Display="always" Required="false" Mask="false"></Config>
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<Config Name="Cache" Target="/cache" Default="" Mode="rw" Description="Cache path (strongly recommended to use)." Type="Path" Display="always" Required="false" Mask="false">/mnt/user/appdata/jellyfin/cache</Config>
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<Config Name="Device" Target="" Default="" Mode="" Description="Path to AMD or Intel device - fill in with '/dev/dri' if you want to use AMD or Intel hardware transcoding (ATTENTION: Delete this value if you don't want to use Intel or AMD hardware transcoding otherwise the container won't start)." Type="Device" Display="always" Required="true" Mask="false"></Config>
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<Config Name="Nvidia Visible Devices" Target="NVIDIA_VISIBLE_DEVICES" Default="" Mode="" Description="Nvidia Visible Devices - enter your GPU UUID here (only required if you plan to use Nvidia hardware transcoding otherwise leave empty, don't forget to add '--runtime=nvidia' to your 'Extra Parameters' in the template)." Type="Variable" Display="always" Required="false" Mask="false"></Config>
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<Config Name="http - WebGUI" Target="8096" Default="" Mode="tcp" Description="WebGUI Port http." Type="Port" Display="always" Required="false" Mask="false">8096</Config>
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<Config Name="https - WebGUI" Target="8920" Default="" Mode="tcp" Description="WebGUI Port https." Type="Port" Display="always" Required="false" Mask="false">8920</Config>
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<Config Name="Nvidia Driver Capabilities" Target="NVIDIA_DRIVER_CAPABILITIES" Default="" Mode="" Description="Nvidia Driver Capabilities (This value can be left in the template even if you don't want to use Nvidia hardware transcoding)." Type="Variable" Display="advanced" Required="false" Mask="false">all</Config>
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<Description>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..
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This version of Jellyfin is optimized for hardware transcoding on AMD Ryzen APU Platforms and also for Nvidia hardware transcoding - Nvidia-Driver Plugin needed (Intel hardware transcoding is only supported up to Coffe Lake 9th gen. for now).
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|
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AMD Hardware transcoding (Please note that you have to be on Unraid 6.9.0beta35 to enable the moduel for AMD):
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- Open up a Terminal from Unraid and type in: 'modprobe amdgpu' (without quotes or you edit your 'go' file to load it on every restart of Unraid - refer to the support thread)
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- At 'Device' at the bottom here in the template add '/dev/dri'
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- In Jellyfin select the VA-API Transcoder at 'Playback' in the Admin section and enable: 'h264', 'HEVC', 'VC1', 'VP9', 'VP8', at the bottom 'Throttle Transcoding' and click 'Save'.
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Intel Hardware transcoding:
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- Download and install the Intel-GPU-TOP Plugin from the CA App
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- At 'Device' at the bottom here in the template add '/dev/dri'
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- In Jellyfin select the Intel Quick Sync Transcoder at 'Playback' in the Admin section and enable: 'h264', 'MPEG2', 'HEVC', 'VC1', 'VP9', 'VP8', at the bottom 'Throttle Transcoding' and click 'Save'.
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Nvidia Hardware transcoding:
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- Download and install the Nvidia-Driver Plugin from the CA App
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- Turn on the 'Advanced View' here in the template and at 'Extra Parameters' add: '--runtime=nvidia'.
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- At 'Nvidia Visible Devices' at the bottom here in the template add your GPU UUID.
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- In Jellyfin select the NVENC Transcoder at 'Playback' in the Admin section and enable: 'h264', 'HEVC', 'VC1', 'VP9', 'VP8' (depending on the capabilities of your card), at the bottom 'Throttle Transcoding' and click 'Save'.</Description>
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<templatePath>/tmp/GitHub/AppFeed/templates/ich777sRepository/ich777/Jellyfin-AMD-Intel-Nvidia.xml</templatePath>
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</Container>
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