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The mask is dilated by grow_mask_by pixels after being applied to the pixel
space image. This helps reduce seams caused by inpainting. Higher value
means less seams.

styles searchbox, should be actually everything

fix graphdialog background, and palette template

* first commit

* fixed a bunch of things missing in initial commit.

* parameters renamed for clarity

* renamed node, attempted update cond list

* to_strength removed, it is now normalized

* removed comments and prints. Attempted to apply to every cond in list again but no luck

* fixed repeating frames after batch using deepcopy

* Revert "fixed repeating frames after batch using deepcopy"

This reverts commit 1086d6a0e1f5c5c9247312872402ff8e60358fe1.

* Rewrite addWeighted to use torch.mul iteratively.

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Co-authored-by: City <125218114+city96@users.noreply.github.com>

Make ConditioningSetArea override the set_area_to_bounds.

- ensure context menu is always above everything

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.

Like this for example: --directml 1

No cu121 builds for windows yet.

Switch nightly standalone to cu121.

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