GitLab

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.

* First SAG test

* need to put extra options on the model instead of patcher

* no errors and results seem not-broken

* Use @ashen-uncensored formula, which works better!!!

* Fix a crash when using weird resolutions. Remove an unnecessary UNet call

* Improve comments, optimize memory in blur routine

* SAG works with sampler_cfg_function