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By default, when applying a mask to a condition, the entire image will
still be used for sampling. The new "set_area_to_bounds" option on the
node will allow the user to automatically limit conditioning to the
bounds of the mask.

I've also removed the dependency on torchvision for calculating bounding
boxes. I've taken the opportunity to fix some frustrating details in the
other version:
1. An all-0 mask will no longer cause an error
2. Indices are returned as integers instead of floats so they can be
   used to index into tensors.

This PR adds support for a Condition by Mask node. This node allows
conditioning to be limited to a non-rectangle area.

Callback format is: callback(step, x0, x)

* fixes colors and z-index

* light mode fix

* Update widgets.js

# Conflicts:
#	nodes.py

Move hypernetwork loader node to loaders.

* Add clipspace feature.
* feat: copy content to clipspace
* feat: paste content from clipspace

Extend validation to allow for validating annotated_path in addition to other parameters.

Add support for annotated_filepath in folder_paths function.

Generalize the '/upload/image' API to allow for uploading images to the 'input', 'temp', or 'output' directories.

* rename contentClipboard -> clipspace

* Do deep copy for imgs on copy to clipspace.

* add original_imgs into clipspace
* Preserve the original image when 'imgs' are modified

* robust patch & refactoring folder_paths about annotated_filepath

* Only show the Paste menu if the ComfyApp.clipspace is not empty

* instant refresh on paste

force triggering 'changed' on paste action

* subfolder fix on paste logic

attach subfolder if subfolder isn't empty

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Co-authored-by: Lt.Dr.Data <lt.dr.data@gmail.com>

Add a HypernetworkLoader node to use hypernetworks.

- prevents duplicate stealing session id

This enables workflows like "Inpaint at full resolution" when using
batch sizes greater than 1.