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Change the transformer patches function format to be more future proof.

* allow nodes to map over lists

* make work with IS_CHANGED and VALIDATE_INPUTS

* give list outputs distinct socket shape

* add rebatch node

* add batch index logic

* add repeat latent batch

* deal with noise mask edge cases in latentfrombatch

Move hypernetwork loader node to loaders.

Add a HypernetworkLoader node to use hypernetworks.

from: https://github.com/comfyanonymous/ComfyUI/discussions/476

Co-authored-by: missionfloyd <missionfloyd@users.noreply.github.com>

allow better compositing.

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.

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.