Make WaveletCFG less spammy in verbose mode
WaveletCFG will pass sigmas and other information to latent operations that support it
Add SonarCustomNoiseParameters node
Add replace/replace_keepsign/replace_avoidsign quantile norm modes
* 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
Add repeat_batch parameter to NoisyLatentLike node.
Add a node to convert SONAR_CUSTOM_NOISE to ComfyUI NOISE.
Various code cleanups and lint squashing.
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.
* Fixed issue when using Sonar samplers in normal sampling nodes/via stuff like `KSamplerSelect`.
* Add `pyramid` (non-high-res) noise type.
* Allow selecting `brownian` noise in custom noise nodes (but it won't work with `NoisyLatentLike`).
* Use `brownian` as the default noise type for `SamplerSonarDPMPP`.
* Make overriding the selected noise type in Sonar samplers a warning instead of a hard error.
* Improve noise scaling (may change seeds).
* Add `KRestartSamplerCustomNoise` if the user has a recent enough version of ComfyUI_restart_sampling installed.
* Improve NoisyLatentLike to allow calculating strength with sigmas and noise injection
* Update documentation for NoisyLatentLike changes + general improvements
* SonarPowerNoise: WIP
* don't allow highpass > lowpass
* fix filter unit gain
The filter was computed as an amplitude gain map. This change computes energy
gains instead. This makes easier to ensure unit-gain and makes the alpha values
more in line with literature where the power spectrum is obeying the power law.
new alpha = old alpha / 2
Also fixes the gain of common_mode.
* allow stretch < 1.0, paramter range fixes
* rename lowpass/highpass to min_freq/max_freq
* remove torch.no_grad wrappers
* add previews
* static seed for previews
* README: SonarPowerNoise documentation
blepping