FreeU_V2 - ComfyUI Built-in Node Documentation

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

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The FreeU_V2 node applies a frequency-based enhancement to diffusion models by modifying the U-Net architecture. It scales different feature channels using configurable parameters to improve image generation quality without requiring additional training. The node works by patching the model’s output blocks to apply scaling factors to specific channel dimensions.

Inputs

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

Outputs

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