Skip to main content
The ModelSamplingContinuousV node modifies a model’s sampling behavior by applying continuous V-prediction sampling parameters. It creates a clone of the input model and configures it with custom sigma range settings for advanced sampling control. This allows users to fine-tune the sampling process with specific minimum and maximum sigma values.

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): 8095b5024c0d33011f6a81ed496cf1711981701e0f35f9527646b150f5033d45