FreSca - ComfyUI Built-in Node Documentation

Complete documentation for the FreSca node in ComfyUI. Learn its inputs, outputs, parameters and usage.

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The FreSca node applies frequency-dependent scaling to guidance during the sampling process. It separates the guidance signal into low-frequency and high-frequency components using Fourier filtering, then applies different scaling factors to each frequency range before recombining them. This allows for more nuanced control over how guidance affects different aspects of the generated output.

Inputs

Parameter	Data Type	Required	Range	Description
model	MODEL	Yes	-	The model to apply frequency scaling to
scale_low	FLOAT	No	0-10	Scaling factor for low-frequency components (default: 1.0)
scale_high	FLOAT	No	0-10	Scaling factor for high-frequency components (default: 1.25)
freq_cutoff	INT	No	1-10000	Number of frequency indices around center to consider as low-frequency (default: 20)

Outputs

Output Name	Data Type	Description
model	MODEL	The modified model with frequency-dependent scaling applied to its guidance function