EpsilonScaling - ComfyUI Built-in Node Documentation

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

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Implements the Epsilon Scaling method from the research paper “Elucidating the Exposure Bias in Diffusion Models.” This method improves sample quality by scaling the predicted noise during the sampling process. It uses a uniform schedule to mitigate exposure bias in diffusion models.

Inputs

Parameter	Data Type	Required	Range	Description
model	MODEL	Yes	-	The model to apply epsilon scaling to
scaling_factor	FLOAT	No	0.5 - 1.5	The factor used to scale the predicted noise (default: 1.005)

Outputs

Output Name	Data Type	Description
model	MODEL	The model with epsilon scaling applied