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.
* 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 1086d6a0e1.
* Rewrite addWeighted to use torch.mul iteratively.
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Co-authored-by: City <125218114+city96@users.noreply.github.com>
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.
* 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>
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.
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