RenormCFG - ComfyUI Built-in Node Documentation

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

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The RenormCFG node modifies the classifier-free guidance (CFG) process in diffusion models by applying conditional scaling and normalization. It adjusts the denoising process based on specified timestep thresholds and renormalization factors to control the influence of conditional versus unconditional predictions during image generation.

Inputs

Parameter	Data Type	Required	Range	Description
model	MODEL	Yes	-	The diffusion model to apply renormalized CFG to
cfg_trunc	FLOAT	No	0.0 - 100.0	Timestep threshold for applying CFG scaling (default: 100.0)
renorm_cfg	FLOAT	No	0.0 - 100.0	Renormalization factor for controlling conditional guidance strength (default: 1.0)

Outputs

Output Name	Data Type	Description
model	MODEL	The modified model with renormalized CFG function applied