

My laptop is running the flatpak client. The server is running in a docker container on my NAS.


My laptop is running the flatpak client. The server is running in a docker container on my NAS.


I can’t change the transcoding path, if I change it from /cache to /transcoding I get this error:
AxiosError
Request failed with status code 404
Qt@https://jellyfin/web/node_modules.axios.bundle.js?c6f75fd5d790d35851b6:2:25313
b@https://jellyfin/web/node_modules.axios.bundle.js?c6f75fd5d790d35851b6:2:34005
83202/dr/i/<@https://jellyfin/web/node_modules.axios.bundle.js?c6f75fd5d790d35851b6:2:57370
83202/hr/hr/i/<@https://jellyfin/web/node_modules.axios.bundle.js?c6f75fd5d790d35851b6:2:58302
br@https://jellyfin/web/node_modules.axios.bundle.js?c6f75fd5d790d35851b6:2:58415
u@https://jellyfin/web/node_modules.axios.bundle.js?c6f75fd5d790d35851b6:2:59896
And if I press F5 I have to login again
–Edit–
Nevermind I got it all fixed. I had to edit config/encoding.xml and manually change the transcoding path and mount a fresh docker volume at that path. I’m on 10.11.1 and everything’s good.


Jellyfin won’t start, it keeps creating file that blocks it from starting up for some reason:
System.InvalidOperationException: Exepected to find only .jellyfin-transcode but found marker for /cache/.jellyfin-cache.
at Emby.Server.Implementations.AppBase.BaseApplicationPaths.CheckOrCreateMarker(String path, String markerName, Boolean recursive)
at Emby.Server.Implementations.AppBase.BaseApplicationPaths.CreateAndCheckMarker(String path, String markerName, Boolean recursive)
at MediaBrowser.Common.Configuration.EncodingConfigurationExtensions.GetTranscodePath(IConfigurationManager configurationManager)
at Jellyfin.Server.Program.StartServer(IServerApplicationPaths appPaths, StartupOptions options, IConfiguration startupConfig)
I delete the file, restart jellyfin only for it to show up again. Rolling back to 10.11.0 lets jellyfin start.


The videos were encoded in h264 if that’s what you’re asking.


You (Ken Langone) made a bad investment -> Take the L


I had to re-enter the url of my jellyfin server which wasn’t fun :-/


When you’re going through couch withdrawl.
I discovered that intel has an equivalent for nvidia’s nvidia-smi tool for looking at GPU usage, it’s
intel_gpu_topin theigt-gpu-toolspackage and Jellyfin is able to use my laptop’s igpu. I might need to replace the thermal paste and clean out the heatsink.