CFGNorm - ComfyUI Built-in Node Documentation

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

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The CFGNorm node applies a normalization technique to the classifier-free guidance (CFG) process in diffusion models. It adjusts the scale of the denoised prediction by comparing the norms of the conditional and unconditional outputs, then applies a strength multiplier to control the effect. This helps stabilize the generation process by preventing extreme values in the guidance scaling.

Inputs

Parameter	Data Type	Input Type	Default	Range	Description
model	MODEL	required	-	-	The diffusion model to apply CFG normalization to
strength	FLOAT	required	1.0	0.0 - 100.0	Controls the intensity of the normalization effect applied to the CFG scaling

Outputs

Output Name	Data Type	Description
patched_model	MODEL	Returns the modified model with CFG normalization applied to its sampling process