GitLab

Default pytorch Linear initializes the weights which is useless and slow.

Add a HypernetworkLoader node to use hypernetworks.

See _for_testing/unclip in the UI for the new nodes.

unCLIPCheckpointLoader is used to load them.

unCLIPConditioning is used to add the image cond and takes as input a
CLIPVisionEncode output which has been moved to the conditioning section.

Tome increases sampling speed at the expense of quality.

Added --windows-standalone-build option, currently it only opens
makes the code open up comfyui in the browser.

* fixed import error

I had an
ImportError: cannot import name 'Protocol' from 'typing'
while trying to update so I fixed it to start an app

* Update main.py

* deleted example files

Use a more simple way to detect if the model is -v prediction.

--use-pytorch-cross-attention to use it.