Conditioning Average

Documentation

Class name: ConditioningAverage
Category: conditioning
Output node: False

The ConditioningAverage node is designed to blend two sets of conditioning data, applying a weighted average based on a specified strength. This process allows for the dynamic adjustment of conditioning influence, facilitating the fine-tuning of generated content or features.

Input types

Parameter	Comfy dtype	Description
`conditioning_to`	`CONDITIONING`	Represents the primary set of conditioning data to which the blending will be applied. It serves as the base for the weighted average operation.
`conditioning_from`	`CONDITIONING`	Denotes the secondary set of conditioning data that will be blended into the primary set. This data influences the final output based on the specified strength.
`conditioning_to_strength`	`FLOAT`	A scalar value that determines the strength of the blend between the primary and secondary conditioning data. It directly influences the balance of the weighted average.

Output types

Parameter	Comfy dtype	Description
`conditioning`	`CONDITIONING`	The result of blending the primary and secondary conditioning data, producing a new set of conditioning that reflects the weighted average.