Skip to main content
The ModelSamplingContinuousV node adjusts a model’s sampling behavior by applying continuous V-prediction sampling. It creates a clone of the input model and configures it with custom minimum and maximum sigma values for finer control over the sampling process.

Inputs

Outputs

This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHub

Source fingerprint (SHA-256): 8549be9dd2375374c20da7c74a756a90285716db0e52fed8a1a2b753cd6d75fe