GitLab

* 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.

Logging level now defaults to info. --verbose sets it to debug.

* import kornia

* Added morphology nodexs

* Add kornia to requirements

* fix choices

* options, also move to postprocessors

* fix placing and step

* Implement Differential Diffusion

* Cleanup.

* Fix.

* Masks should be applied at full strength.

* Fix colors.

* Register the node.

* Cleaner code.

* Fix issue with getting unipc sampler.

* Adjust thresholds.

* Switch to linear thresholds.

* Only calculate nearest_idx on valid thresholds.

The effnet can be used to encode images for img2img with Stage C.

Allow configurable addition of batch number to output file name.

Put the model file in models/photomaker and use PhotoMakerLoader.

Then use PhotoMakerEncode with the keyword "photomaker" to apply the image

This is an alternative to VAE Encode for inpaint that should work with
lower denoise.

This is a different take on #2501

This is an old model.

Load the checkpoint like a regular one and use the new
SD_4XUpscale_Conditioning node.

Allow VALIDATE_INPUTS to only validate specific inputs.

To use it use the ImageOnlyCheckpointLoader to load the checkpoint and
the new Stable_Zero123 node.