* Added a `SonarResizedNoiseAdv` node that allows more control (and is more useful for models like ACE-Steps where you might want to deal with absolute sizes).
* Added a `SonarWaveletCFG` node which allows you use different CFG values for different frequencies.
* Added a `SonarCustomNoiseParameters` node that lets you set some parameters as well as override seed/device/dtype.
* Added `replace`, `replace_keepsign` and `replace_avoidsign` quantile norm modes.
* `SonarBlendedNoise` now has a `custom_noise_mask` input. When connected, it will generate noise with that, put it on a 0-1 scale and use that to control the blend.
* Added a `SonarAdvancedVoronoiNoise` node.
Added `SonarApplyLatentOperationCFG` node, similar to the built-in `ApplyLatentOperationCFG` node with scheduling and a lot of different application modes.
Added a `SonarLatentOperationQuantileFilter` node that can be used to apply the quantile normalization functioen to the latent during sampling.
A bunch more quantile normalization modes.
Fixed broken quantile normalization dimension handling. Unfortunately this will likely change seeds.
* Refactor noise generation
Try to make option passing and CPU/GPU noise selection work
Add advanced custom noise node that allows for parameter passing
Add wavelet noise type
* Add WaveletFilteredNoise node, other fixes
* Fix Brownian arg passing
* Generalized distribution noise for most torch.distributions
* Distro noise improvements, add SonarAdvancedDistroNoise node
* More distributions!
* Add SonarResizedNoise node
* Momentum sampler refactor/improvements (I hope)
* Better approach to integration with external nodes
Documentation updates
Other cleanups
* Internal cleanups and refactoring.
Some integration improvements.
Bump date in changelog
* Add round and step to node FLOAT inputs that did not have it
Many new features, documentation reorganized.
* Add `SonarScheduledNoise`, `SonarCompositeNoise`, `SonarGuidedNoise`, `SonarRandomNoise` nodes.
* Add `SonarPowerFilterNoise`, `SonarPowerFilter`, `SonarPreviewFilter` nodes.
* Add `FreeUExtreme`, `FreeUExtremeConfig` nodes.
* Replace `pyramid` noise type with a (hopefully) more correct implementation. You can use `pyramid_old` for the previous behavior.
* Add more noise types and variations.
* The `NoisyLatentLike` node now allows using brownian noise if you connect a model and sigmas.
* Refactoring, cleanups, reorganization.
blepping