* 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.
* mask painting on clipspace
* add original_imgs into clipspace
* Preserve the original image when 'imgs' are modified
* robust patch & refactoring folder_paths about annotated_filepath
* wip
* Only show the Paste menu if the ComfyApp.clipspace is not empty
* clipspace feature added
maskeditor feature added
* instant refresh on paste
force triggering 'changed' on paste action
* enhance mask painting
smooth drawing
add brush_size +/- button
* robust patch
use mouseup event
* robust patch
again...
* subfolder fix on paste logic
attach subfolder if subfolder isn't empty
* event listener patch
add ], [ key event for brush size
remove listener on close
* Fix button positioning issue related to window height.
Change brush size from button to slider.
* clean commit
* clean code
* various bug fixes
* paste action
- prevent opening upload popup
- ensure rendering after widget_value update
* view api update
- support annotated_filepath
* maskeditor layout
- prevent covering button by hidden div
* remove dbg message
* Add cursor functionality to display brush size
* refactor: Replace brush preview feature with missionfloyd implementation
* missionfloyd implementation
* hiding brush preview off the canvas
* change brush size on wheel event
* keyup -> keydown event
* Update web/extensions/core/maskeditor.js
Co-authored-by: missionfloyd <missionfloyd@users.noreply.github.com>
* Add support for channel-specific image data retrieval in /view API to fix alpha mask loading issue
When loading an image with an alpha mask in JavaScript canvas, there is an issue where the alpha and RGB channels are premultiplied. To avoid reliance on JavaScript canvas, I added support for channel-specific image data retrieval in the "/view" API. This allows us to retrieve data for each channel separately and fix the alpha mask loading issue. The changes have been committed to the repository.
* Enable brush preview for key and slider events
* optimize
* preview fix
* robust patch
* fix copy (clipspace) action
imgs[0] copy -> whole imgs copy
* support batch images on clipspace, maskeditor
* copy/paste bug fixes for batch images
enhance selector preview on clipspace menu
add img_paste_mode option into clipspace menu
* crash fix
* print message if clipspace content cannot editable
* Update web/extensions/core/maskeditor.js
Co-authored-by: missionfloyd <missionfloyd@users.noreply.github.com>
* make default img_paste_mode to 'selected'
refactor space -> tab
* save clipspace files to input/clipspace instead of temp
* show "clipspace/filename.png" instead of 'filename.png [clipspace]' in LoadImage/LoadImageMask
* refresh fix related to FILE_COMBO
* Update web/extensions/core/maskeditor.js
Co-authored-by: missionfloyd <missionfloyd@users.noreply.github.com>
* Update web/extensions/core/maskeditor.js
Co-authored-by: missionfloyd <missionfloyd@users.noreply.github.com>
* adjust margin based on missionfloyd impelements
* mouse event -> pointer event
* pen, touch, mouse drawing patched and tested
* Update web/extensions/core/maskeditor.js
Co-authored-by: missionfloyd <missionfloyd@users.noreply.github.com>
* add comment about touch event.
---------
Co-authored-by: Lt.Dr.Data <lt.dr.data@gmail.com>
Co-authored-by: missionfloyd <missionfloyd@users.noreply.github.com>
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.
---------
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
---------
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.
* Minor changes and extra nodes
* Added Preview Image for Nodes
* Add a delete images button on main floating menu
* Add a confirmation dialog
* Remove DeleteAll, Remove Custom KSampler, Remove Image List
* Remove Image and Custom Json Load
* Remove Custom Nodes
* remove patch.diff
After some quick tests compress_level=4 seems to give the best compression
performance ratio for stable diffusion images.
It's 10x faster than max compression for an image size increase of only
2.5%.
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.
This decodes the image with the VAE in tiles which should be faster and
use less vram.
It's in the _for_testing section so I might change/remove it or even
add the functionality to the regular VAEDecode node depending on how
well it performs which means don't depend too much on it.
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.
This node exposes more sampling options and makes it possible for example
to sample the first few steps on the latent image, do some operations on it
and then do the rest of the sampling steps. This can be achieved using the
start_at_step and end_at_step options.
to apply conditioning/prompts only to a specific area of the image.
Add ConditioningCombine node.
so that multiple conditioning/prompts can be applied to the image at the
same time
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