GitLab

Put the model file in models/photomaker and use PhotoMakerLoader.

Then use PhotoMakerEncode with the keyword "photomaker" to apply the image

Clean up a few things.

Add a HypernetworkLoader node to use hypernetworks.

Workflows will be auto updated.

It needs the CLIPVision model so I added CLIPVisionLoader and CLIPVisionEncode.

Put the clip vision model in models/clip_vision
Put the t2i style model in models/style_models

StyleModelLoader to load it, StyleModelApply to apply it
ConditioningAppend to append the conditioning it outputs to a positive one.

They are loaded as CONTROL_NET objects because they are similar.

Put them in models/clip

The models are modified in place before being used and unpatched after.
I think this is better than monkeypatching since it might make it easier
to use faster non pytorch unet inference in the future.