FreeU_V2 - ComfyUI Built-in Node Documentation

Complete documentation for the FreeU_V2 node in ComfyUI. Learn its inputs, outputs, parameters and usage.

The FreeU_V2 node enhances image generation quality by applying frequency-based modifications to a diffusion model’s U-Net architecture. It uses configurable scaling factors to adjust feature channels in different blocks, improving output without requiring additional training.

Inputs

Parameter	Description	Data Type	Required	Range
model	The diffusion model to apply FreeU enhancement to	MODEL	Yes	-
b1	Backbone feature scaling factor for the first block (default: 1.3)	FLOAT	Yes	0.0 - 10.0
b2	Backbone feature scaling factor for the second block (default: 1.4)	FLOAT	Yes	0.0 - 10.0
s1	Skip feature scaling factor for the first block (default: 0.9)	FLOAT	Yes	0.0 - 10.0
s2	Skip feature scaling factor for the second block (default: 0.2)	FLOAT	Yes	0.0 - 10.0

Outputs

Output Name	Description	Data Type
model	The enhanced diffusion model with FreeU modifications applied	MODEL

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