martial

This log tells us one thing: Line 1057 is the line that starts ComfyUI using python so the crash for ComfyUI and is AFTER the container has done all its getting things ready steps. The error is something within Comfy, not with the container. You will have to look at the error Comfy logged for details on how to make it work. Luckily Comfy usually provide some details (usually in the lines above that ERROR) as to why it failed.

Not directly, the tool is just a frontend to ComfyUI, it does not know anything about your host or directory structure. If you want to make your life easier, I recommend you look at custom nodes. I use "Lora Manager" https://github.com/willmiao/ComfyUI-Lora-Manager and I pay the author for its browser integration and CivitAI download capabilities. You do not have to pay if you are comfortable pasting the url in the tool's WebUI to do direct download.. There are likely other similar nodes I just started using this one and have not looked back.

This is a strange error, the "max" for now is cu130 I have it running with driver 610 with the 12.9 version and I do not see any error. I would recommend attempting to add a new variable called TORCH_LOCK torch==2.13.0+cu128 torchaudio==2.11.0+cu128 torchvision==0.28.0+cu128 (I am not sure those are the right values, I adapted them from my cu130 line below) The next step would be to move the driver up (check with nvidia-smi in a terminal so you can get CUDA to at least 13.0) and try with torch==2.13.0+cu130 torchaudio==2.11.0+cu130 torchvision==0.28.0+cu130 with the CUDA 13.0 (and up to CUDA 13.2) version

Thanks for reporting it, it is fixed, it might take a couple hours to show up again.

That log looks very bare, as if nothing happened. The previous step completed (installing torch), then it goes into installing Comfy's requirements.txt which should run uv pip install -r and be a little bit more verbose, especially in case of error. Here it is like it was not able to start the command.

When you deleted the run folder you downloaded a fresh install of ComfyUI during the next startup, so we can expect this to be something else. Doing a quick gpt search seems to say that it might be a CPU issue and you might have to compile kornia from source. You can try to use the userscript (check the README for instructions) to attempt to run the build manually: /comfy/mnt/venv/bin/pip install kornia-rs --force-reinstall --no-cache-dir --no-binary :all: (also copied from the GPT answer)

The crash comes from ComfyUI itself so I would not be able to comment too much on what the issue is. When I see this kind of behavior, I rename the run folder to run.old and re-run the container which will re-create a new installation. In general this fixed things for me, knowing that the custom nodes and images are in basedir, everything in "run" should be able to be deleted.

The error I see in there is RuntimeError: Detected that PyTorch and TorchAudio were compiled with different CUDA versions. PyTorch has CUDA version 13.0 whereas TorchAudio has CUDA version 12.9. Please install the TorchAudio version that matches your PyTorch version. You said you have a Blackwell card. I would try with the CUDA 13.2 container, not the 13.0 (or are you trying 12.9)?

And you are not using TORCH_LOCK, correct? In your case, my belief is that Torch is trying to update to 2.12 but as noted above, they dropped support for CUDA 12.8 in Torch 2.12 Details: "Introducing CUDA 13.2 and Deprecating CUDA 12.8 (Release 2.12)" https://dev-discuss.pytorch.org/t/introducing-cuda-13-2-and-deprecating-cuda-12-8-release-2-12/3337 The two options I would recommend are either: 1) use TORCH_LOCK=torch==2.9.1+cu130 torchvision==0.24.1+cu130 torchaudio==2.9.1+cu130or a more recent Torch (as long as you get the right combination, I am not sure what it is honestly :) ) 2) change the base container from ubuntu24-cuda12.8 to a more recent one. Important note: latest is likely going to move from CUDA 12.8 to CUDA 12.9 because of that (likely this week end)

Is everyone having a problem on 7.3.1?

Understood, maybe other will encounter the same issue and report their solution. I do not have the issue or am able to reproduce it currently, so I can not help further.

In the Settings/nvidia-driver page of my Unraid, I see in the GPU Driver Support a note: Supported candidates: 580.159.03, 590.48.01, 595.71.05, 595.80, 610.43.02 Recommended Driver: 595.71.05 (open-source) Apparently I am running the expected "recommended" driver.

The thing is that it should not be fighting you at all ... I run 3x instances of the container with my primary on an RTX 4090 Linux Mint using the CUDA 13.2 base and it works fine. The container's part appear to be working: it installs ComfyUI, then starts it, it is ComfyUI that then crash (I did not see anything wrong in the logs that you shared with us). The 3090 supports the latest driver with CUDA 13.2 I believe. If you ssh into your Unraid --or use the >_ terminal-- and type nvidia-smi you will see by the top the max version of CUDA that the host (and therefore container runtime) can support, my Unraid runs Driver Version: 595.71.05 CUDA Version: 13.2 (ie I have not yet upgraded to the 610.43.02 driver that appears to be available) so I can use the 13.2 version (and do not use TORCH_LOCK) From the release notes, I do not see any expected issue but maybe others that have a more recent driver can say what they see? https://forums.developer.nvidia.com/t/610-release-feedback-discussion/371356

Importantly it also tells us that Comfy started so your installation is (from the view of the container's purpose) clean

That error just tells us that ComfyUI exited with an error. Everything in the second log is just normal ComfyUI starting with PyTorch 2.11.0+cu129 and Comfy 0.23.0 "when" it fails is shows the line that caused the error, here the call to Comfy which is normal. If you are comfortable with this, can you delete the container (do not delete the folder where your files are in /mnt/usr/appdata). Then move the run folder that should be in /mnt/user/appdata/comfyui-nvidia/mnt to "mnt.old" (not the basedir, it contains your generations and models) From that Community Apps, reinstall a new ComfyUI, use at least CUDA 12.9 and it should recreate the "mnt" folder with a fresh installation?