GitLab

calc_cond_batch can take an arbitrary amount of cond inputs.

Added a calc_cond_uncond_batch wrapper with a warning so custom nodes
won't break.

* 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.

Use ModelSamplingContinuousEDM with edm_playground_v2.5 selected.

adjust perp-neg implementation to match the paper

shift is 2.0 by default on Stage C and 1.0 by default on Stage B.

This lets you set it so the latents can use the same seed for the sampling
on every image in the batch.

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

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

This node is unfinished, SVD checkpoints saved with this node will
work with ComfyUI but not with anything else.

This node lets you generate a batch of images with different elevations or
azimuths by setting the elevation_batch_increment and/or
azimuth_batch_increment.

It also sets the batch index for the latents so that the same init noise is
used on each frame.