Skip to main content
This node multiplies the conditioning values by a specified factor, allowing you to scale the influence of the conditioning on the generation process. It works by applying the multiplier to both the main conditioning tensor and the pooled output values.

Inputs

ParameterDescriptionData TypeRequiredRange
conditioningThe conditioning data to be scaledCONDITIONINGYes-
multiplierThe factor to multiply the conditioning values by (default: 1.0)FLOATYes-100.0 to 100.0 (step: 0.01)

Outputs

Output NameDescriptionData Type
CONDITIONINGThe scaled conditioning data with multiplied valuesCONDITIONING
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): 8d241e3d5d91e513c24ade5b4bece4bf879fe093a4be6d53dab11a5a0bf55616