FreeU_V2 - ComfyUI Built-in Node Documentation - ComfyUI

FreeU_V2 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

Note: b1, b2, s1, and s2 are advanced parameters hidden by default in the node’s UI. They can be set in steps of 0.01 within the 0.0 - 10.0 range. b1 and s1 control the U-Net block with the most channels, while b2 and s2 control the block with half as many channels.

Outputs

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

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