Troubleshooting

• The program is tested to work on 3.10.6. Don't use other versions unless you are looking for trouble.
• The installer creates a python virtual environment, so none of the installed modules will affect existing system installations of python.
• To use the system's python rather than creating a virtual environment, use custom parameter replacing set VENV_DIR=-.
• To reinstall from scratch, delete directories: venv, repositories.

Low VRAM Video-cards

When running on video cards with a low amount of VRAM (<=4GB), out of memory errors may arise. Various optimizations may be enabled through command line arguments, sacrificing some/a lot of speed in favor of using less VRAM:

• If you have 4GB VRAM and want to make 512x512 (or maybe up to 640x640) images, use --medvram.
• If you have 4GB VRAM and want to make 512x512 images, but you get an out of memory error with --medvram, use --medvram --opt-split-attention instead.
• If you have 4GB VRAM and want to make 512x512 images, and you still get an out of memory error, use --lowvram --always-batch-cond-uncond --opt-split-attention instead.
• If you have 4GB VRAM and want to make images larger than you can with --medvram, use --lowvram --opt-split-attention.
• If you have more VRAM and want to make larger images than you can usually make (for example 1024x1024 instead of 512x512), use --medvram --opt-split-attention. You can use --lowvram also but the effect will likely be barely noticeable.
• Otherwise, do not use any of those.

Green or Black screen

Video cards When running on video cards which don't support half precision floating point numbers (a known issue with 16xx cards), a green or black screen may appear instead of the generated pictures. This may be fixed by using the command line arguments --precision full --no-half at a significant increase in VRAM usage, which may require --medvram.