Stable Diffusion "Torch is not able to use GPU" Error

How to fix it

Try these in order — the most common fix is first.

1. 1. Rebuild the venv

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   1. Close the web UI
   2. Delete the venv folder inside the stable-diffusion-webui directory
   3. Run webui-user.bat again so it reinstalls PyTorch
   Did this fix it? Yes No

2. 2. Check Python and driver

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   1. Use the Python version the project documents (3.10.x for A1111)
   2. Update the NVIDIA driver
   3. Run python -m torch.utils.collect_env inside the venv to see whether CUDA is detected
   Did this fix it? Yes No

3. 3. AMD or Intel GPU

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   1. Use a build made for your card, such as the DirectML fork (launch with --use-directml) or Linux with ROCm
   2. Do not rely on --skip-torch-cuda-test: it only makes the UI start, generation then runs on CPU
   Did this fix it? Yes No

Symptoms

Launch stops with 'RuntimeError: Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this check'.

Why it happens

• CPU-only or wrong CUDA build of PyTorch installed in the venv
• Outdated or missing NVIDIA driver
• Broken venv after a Python or config change
• AMD or Intel GPU with a CUDA-only build

This guide also covers

• torch is not able to use gpu
• stable diffusion skip-torch-cuda-test
• automatic1111 torch not able to use gpu

The same problem in other apps

All not loading, error messages & connection guides →

• Midjourney Job Failed or Internal Server Error (Midjourney)

Other Stable Diffusion errors

• Stable Diffusion CUDA Out of Memory Error
• Stable Diffusion Black Images and NaN Error
• Stable Diffusion Model Failed to Load, Exiting
• Stable Diffusion Very Slow on Mac (M1, M2, M3)
• Stable Diffusion Not Using AMD GPU (Slow, CPU Only)
• Stable Diffusion xformers Error After Update
• Stable Diffusion "Couldn't install torch" Error
• Stability AI API 402 Insufficient Credits Error