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Xformers
AUTOMATIC1111 edited this page Oct 8, 2022
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Xformers library is an optional way to speedup your image generation.
There are not binaries for Windows except for one specific configuration, but you can build it yourself. A guide from an anonymous user:
GUIDE ON HOW TO BUILD XFORMERS also includes how to uncuck yourself from sm86 restriction on voldy's new commit
1. go to the webui directory
2. source ./venv/bin/activate
3. cd repositories
3. git clone /~https://github.com/facebookresearch/xformers.git
4. cd xformers
5. git submodule update --init --recursive
6. pip install -r requirements.txt
7. pip install -e .
If you encounter some error about torch not being built with your cuda version blah blah, then try:
pip install setuptools==49.6.0
After step 7, just wait like 30 minutes for everything to build and you're done.
Then go back to modules/sd_hijack.py and search for this text and delete it:
and torch.cuda.get_device_capability(shared.device) == (8, 6)
This is the Stable Diffusion web UI wiki. Wiki Home
Setup
- Install and run on NVidia GPUs
- Install and run on AMD GPUs
- Install and run on Apple Silicon
- Install and run on Intel Silicon (external wiki page)
- Install and run via container (i.e. Docker)
- Run via online services
Reproducing images / troubleshooting
Usage
- Features
- Command Line Arguments and Settings
- Optimizations
- Custom Filename Name and Subdirectory
- Change model folder location e.g. external disk
- User Interface Customizations
- Guides and Tutorials
Developers