Stable Diffusion is an open source machine learning model that can generate images from text, modify images based on text, or fill in details on low-resolution or low-detail images.
Stable Diffusion has been trained on billions of images and can produce results comparable to those obtained from DALL-E 2 and MidJourney. It was developed by Stability AI and first publicly released on August 22, 2022.
Stable Diffusion is completely free to use on Windows computers .
This article introduces the detailed installation steps of Stable Diffusion on the Windows 11 operating system.
- Install Python
The community recommends installing Python 3.10.6, but the author installed 3.10.8:
You can download Python directly through this link .
Open the Stable Diffusion Github repository :
Click Code->Download Zipto download it locally:
Download it locally and unzip it.
https://huggingface.co/CompVis/stable-diffusion-v-1-4-original
Start the log, it will be automatically downloaded torchand torchvision:
Wait patiently for it to download:
If you encounter the following error message when starting:
File “C:\app\stable-diffusion-webui-master\launch.py”, line 355, in
prepare_environment()
File “C:\app\stable-diffusion-webui-master\launch.py”, line 260, in prepare_environment
run_python(“import torch; assert torch.cuda.is_available(), ‘Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this check’”)
File “C:\app\stable-diffusion-webui-master\launch.py”, line 121, in run_python
return run(f’“{python}” -c “{code}”', desc, errdesc)
File “C:\app\stable-diffusion-webui-master\launch.py”, line 97, in run
raise RuntimeError(message)
RuntimeError: Error running command.
Command: “C:\app\stable-diffusion-webui-master\venv\Scripts\python.exe” -c “import torch; assert torch.cuda.is_available(), ‘Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this check’”
Error code: 1
stdout:
stderr: C:\app\stable-diffusion-webui-master\venv\lib\site-packages\torch\cuda_init_.py:88: UserWarning: CUDA initialization: The NVIDIA driver on your system is too old (found version 10020). Please update your GPU driver by downloading and installing a new version from the URL: http://www.nvidia.com/Download/index.aspx Alternatively, go to: https://pytorch.org to install a PyTorch version that has been compiled with your version of the CUDA driver. (Triggered internally at …\c10\cuda\CUDAFunctions.cpp:109.)
return torch._C._cuda_getDeviceCount() > 0
Traceback (most recent call last):
File “”, line 1, in
AssertionError: Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this check
https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/1742
https://github.com/TencentARC/GFPGAN
Follow the error message to correct it:
Found the exact address where this error message was reported:
Started successfully:
