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[GH-ISSUE #263] (AMD) Wrong configuration results in error #181
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games-on-whales/wolf#181
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Originally created by @KorinFlakes on GitHub (Oct 8, 2025).
Original GitHub issue: https://github.com/games-on-whales/wolf/issues/263
Wolf fails to bind the GPU compositor (weirdly enough, wolf was working flawlessly before I rebooted my PC)
Inside container:
glxinfo and vulkaninfo detect GPU correctly
/dev/dri/card1 and renderD128 present
Presently resorted to running wolf through a docker-compose:
I was previously running it through a script:
launch-wolf.sh
TBH I can barely remember what's in it, I've changed it so many bloody times trying to get it to work now.
The logs
If you need any other information please don't hesitate to ask, I'm just very tired right now.
@Marshy-Madness commented on GitHub (Oct 8, 2025):
When I had this similar issue I had to do rebuilt the nvidia image.
I had to remove the old image first. I can't find the command I ran anywhere
curl https://raw.githubusercontent.com/games-on-whales/gow/master/images/nvidia-driver/Dockerfile | docker build -t gow/nvidia-driver:latest -f - --build-arg NV_VERSION=$(cat /sys/module/nvidia/version) .docker create --rm --mount source=nvidia-driver-vol,destination=/usr/nvidia gow/nvidia-driver:latest sh@ABeltramo commented on GitHub (Oct 8, 2025):
@KorinFlakes your compose configuration is all wrong, can you try with the standard one in the quickstart guide first
and then, if you still have issues, post the full Wolf logs using the command
the ones that you've posted are impossible to read (and looks incomplete too) unfortunately
@ConsularParadi commented on GitHub (Oct 15, 2025):
Hi, I am facing the same issue on a dual GPU laptop. I am running wolf using the Nvidia manual method.
Specifically it identifies the Nvidia GPU in DEBUG logs but I still get this error
ERROR | [GSTREAMER] Pipeline error: Internal data stream error.Here are the logs from wolf container
https://pastebin.com/MJxfLn02
And here is my docker compose
I am on Arch and the Nvidia-smi also shows that the container is using GPU