Troubleshooting

• The program is tested to work on Python 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.
• When starting the program for the first time, the path to python interpreter is displayed. If this is not the python you installed, you can specify full path in the webui-user script; see Running with custom parameters.
• If the desired version of Python is not in PATH, modify the line set PYTHON=python in webui-user.bat with the full path to the python executable.
  • Example: set PYTHON=B:\soft\Python310\python.exe
• Installer requirements from requirements_versions.txt, which lists versions for modules specifically compatible with Python 3.10.6. If this doesn’t work with other versions of Python, setting the custom parameter set REQS_FILE=requirements.txt may help.

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.

“CUDA error: no kernel image is available for execution on the device” after enabling xformers

Your installed xformers is incompatible with your GPU. If you use Python 3.10, have a Pascal or higher card and run on Windows, add --reinstall-xformers --xformers to your COMMANDLINE_ARGS to upgrade to a working version. Remove --reinstall-xformers after upgrading.

NameError: name ‘xformers’ is not defined

If you use Windows, this means your Python is too old. Use 3.10

If Linux, you’ll have to build xformers yourself or just avoid using xformers.