lllyasviel / lllyasviel/stable-diffusion-webui-forge
Don't know how to solve this :(
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- Python
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Description
Forge worked just fine yesterday. Today I installed requirement.txt for the mixlab node for ComfyUI and ALL my Forge-"installations" gpt messed up 💩 How is that even possible.
Both my venv-one and my three portable ones give the same error when starting now 😕
```
Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Version: f2.0.1v1.10.1-previous-537-g95b54a27
Commit hash: 95b54a27f1df591e0eceb46c0fea70b68327c26c
Traceback (most recent call last):
File "Q:\Forge_cu124_torch250\webui\launch.py", line 54, in
main()
File "Q:\Forge_cu124_torch250\webui\launch.py", line 42, in main
prepare_environment()
File "Q:\Forge_cu124_torch250\webui\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
Press any key to continue . . .
```
This is the requirements.txt I installed (With venv activated)
```
numpy
pyOpenSSL
watchdog
opencv-python-headless
matplotlib
openai
torchaudio
clip-interrogator==0.6.0
transformers>=4.36.0
lark-parser
imageio-ffmpeg
rembg[gpu]
omegaconf>=2.3.0
Pillow>=9.5.0
einops>=0.7.0
trimesh>=4.0.5
huggingface-hub
scikit-image
soundfile>=0.12.1
json-repair
bitsandbytes
accelerate
scenedetect[opencv-headless]
hydra-core>=1.3.2
loralib>=0.1.2
natsort>=8.4.0
# simple-lama-inpainting
```
Contributor guide
No contributing guide indexed for this repository
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
Start at webui/launch.py and webui/modules/launch_utils.py around the reported failure at line 434, then inspect the installed requirements and the Forge startup environment. Done means identifying the dependency or environment change that causes the Torch/CUDA compatibility error and confirming Forge starts successfully in the affected installations.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100