HunyuanRefinerLatent - ComfyUI Built-in Node Documentation

The HunyuanRefinerLatent node processes conditioning and latent inputs for refinement operations. It applies noise augmentation to both positive and negative conditioning while incorporating latent image data, and generates a new latent output with specific dimensions for further processing.

Inputs

Parameter	Description	Data Type	Required	Range
`positive`	The positive conditioning input to be processed	CONDITIONING	Yes	-
`negative`	The negative conditioning input to be processed	CONDITIONING	Yes	-
`latent`	The latent representation input	LATENT	Yes	-
`noise_augmentation`	The amount of noise augmentation to apply (default: 0.10)	FLOAT	Yes	0.0 - 1.0

Outputs

Output Name	Description	Data Type
`positive`	The processed positive conditioning with applied noise augmentation and latent image concatenation	CONDITIONING
`negative`	The processed negative conditioning with applied noise augmentation and latent image concatenation	CONDITIONING
`latent`	A new latent output with dimensions [batch_size, 32, height, width, channels]	LATENT

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