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Useful for testing what each text encoder does.

Text encoders can now return other values to the CONDITIONING than the cond
and pooled output.

Use more explicit name 'python_module'

Parse abs ath

Move parse to nodes.py

Remove code.

* Fix module name for comfy extra nodes

* Use module name relative to root dir

* Add --no-custom-node cmd flag

* nit

You can use the CLIPLoader to use the t5xxl only or the DualCLIPLoader to
use CLIP-L and CLIP-G only for sd3.

* 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.

* 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

* Fix issue with how PIL loads small PNG files nodes.py

Added flag to prevent ValueError: Decompressed Data Too Large
when loading PNG images with large meta data such as large embedded color profiles

* Update LoadImage node to fix error when loading PNG's in nodes.py

Fixed Value Error: Decompressed Data Too Large thrown by PIL when attempting to opening PNG files with large embedded ICC colorspaces by setting the follow flag to true when loading png images:  ImageFile.LOAD_TRUNCATED_IMAGES = True

* Update node_helpers.py to include open_image helper function

open_image includes try except to catch Pillow Value Errors that occur when large ICC profiles are embedded in images.

* Update LoadImage node to use open_image helper function inplace of Image.open

open_image helper function in node_helpers.py  fixes a Pillow error when attempting to open images with large embedded ICC profiles by adding an exception handler to load the image with truncated meta data if regular loading is not possible.

This sampler is an LCM sampler that upscales the latent during sampling.

It can be used to generate at a higher resolution with an LCM model very
quickly.

To try it use it with a basic 5 step LCM workflow with scale_ratio 1.5 or
2.0

This should be less confusing to those who want to use multiline input
without them.