lllyasviel / lllyasviel/stable-diffusion-webui-forge
Colab Notebook suddenly not working. RuntimeError: Your device does not support the current version of Torch/CUDA
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Description
I tried deleting everything in my GDrive folder to start fresh and the issue still persists. It was working fine for me a week ago on an A100 session as well as L4, and now the output is feeding me Torch compatibility issues no matter what version or GPU I attempt.
Error below:
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/content/stable-diffusion-webui-forge
WEBUI ARGUMENTS: --gradio-img2img-tool color-sketch --enable-insecure-extension-access --gradio-queue --share --gradio-auth "a":"a"
Python 3.10.20 (main, Mar 3 2026, 09:24:47) [GCC 13.3.0]
Version: f2.0.1v1.10.1-previous-669-gdfdcbab6
Commit hash: dfdcbab685e57677014f05a3309b48cc87383167
Traceback (most recent call last):
File "/content//stable-diffusion-webui-forge/launch.py", line 54, in
main()
File "/content//stable-diffusion-webui-forge/launch.py", line 42, in main
prepare_environment()
File "/content/stable-diffusion-webui-forge/modules/launch_utils.py", line 434, in prepare_environment
raise RuntimeError(
RuntimeError: Your device does not support the current version of Torch/CUDA! Consider download another version:
https://github.com/lllyasviel/stable-diffusion-webui-forge/releases/tag/latest
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Reproduce the reported Colab launch on the A100 or L4 runtime, then inspect launch.py and modules/launch_utils.py around prepare_environment(). Determine why the Torch/CUDA compatibility check now fails across the reported GPU and version attempts. Done means the cause and a verified corrective change or supported-runtime requirement are established without the RuntimeError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100