CFGNorm - ComfyUI Built-in Node Documentation

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	Description	Data Type	Required	Range
`model`	The diffusion model to apply CFG normalization to	MODEL	Yes	-
`strength`	Controls the intensity of the normalization effect applied to the CFG scaling (default: 1.0)	FLOAT	Yes	0.0 to 100.0

Outputs

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

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