Quantile normalization can now take a negative quantile to consider values closest to zero the "extremes". Note: Experimental feature that may not be implemented correctly/subject to change.
`SonarShuffledNoise` node reworked. Unfortunately, this will break workflows. If anyone has a burning need for the old version, let me know and I can bring it back as a separate node. The new approach should be better in general though.
Fixed momentum sampler init parameter passing.
Added more Voronoi noise octave modes.
Added replace_2pt/3pt (and variants) quantile norm result modes that use multiple replacement values.
Internal cleanups/refactoring.
* 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 a `SonarLatentOperationAdvanced` node which allows more control over when individual latent operations are active and their effects get blended.
* Added a `SonarSplitNoiseChain` node. Can be useful if you want to have an item in the chain be a blended.
* Added a `SonarLatentOperationNoise` node that can be used to inject noise. You can also use the guided noise node to turn a reference into "noise".
* Expanded the functionality of the `SonarWaveletFilteredNoise` node. You can now attach two custom noise inputs to use for the high/low frequency parts of the wavelet as well as blend the wavelets.
* Added a `SonarNormalizeNoiseToScale` node that lets you normalize noise to specific value ranges.
* Added a `SonarPerDimNoise` node that lets you do stuff like call a noise sampler once per batch item (can be useful for 3D Perlin noise).
* Fixed an issue where the normalization parameter wasn't respected. This may change seeds.
* Added a `SonarLatentOperationFilteredNoise` node that allows you to run noise through a `LATENT_OPERATION`.
* Added a `SonarLatentOperationSetSeed` node that can be used to set the seed (mainly useful for running latent operations that add noise outside of sampling).
* Added a `SonarScatternetFilteredNoise` node that uses a scatternet to filter noise. Similar to wavelet filtering. Note: Very experimental, way not work properly.
* Fixed an issue with pattern break noise, this may change seeds for workflows using that noise type.
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
blepping