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* Add type annotation UnetWrapperFunction

* nit

* Add types.py

* Add webcam node

* unused import

* Fix to LoadImage Node for #3416 HDR images loading additional smaller images. 

Added a blocking if statement  in the ImageSequence.Iterator that checks if subsequent images after the first match dimensionally, and prevent them from being appended to output_images if they do not match. 

This does not fix or change current behavior for PIL 10.2.0 where the images are loaded at the same size, but it does for 10.3.0 where they are loaded at their correct smaller sizes.

* added list of excluded formats that should return 1 image

added an explicit check for the image format so that additional formats can be added to the list that have problematic behavior.

* Change calculation of memory total to be more accurate, allocated is actually smaller than reserved.

* Update README.md install documentation for Intel GPUs.

The previous fix didn't cover the case where the model was loaded in
lowvram mode right before.

* Update node_helpers.py to use generic pillow wrapper to resolve multiple meta-data related issues.

replaced open_image function with a generic pillow function that takes Pil functions as a dependency injection and applies the ImageFile.LOAD_TRUNCATED_IMAGES try except fix to them. 

This provides an extensible function to handle related errors that can wrap offending functions when discovered without the need to repeat code.

* Update a few Pil functions to use node_helpers.pillow wrapper

Update a Pil function calls in a few locations to use the generic node_helpers.pillow wrapper that takes the function as a dependency injection and uses the try except method with ImageFIle.LOAD_TRUNCATED_IMAGES solution

* Corrected comment in issue #s fixed.

* Update node_helpers.py to remove import of Image from PIL

import of Image is no longer required as functions are Injected

* feat: shortcuts for zoom in/out

* feat: pen support for canvas zoom

ctrl + LMB + vertical drag

* Ctrl+LMB+Drag -> ctrl+Shift+LMB+Drag

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