HunyuanRefinerLatent - ComfyUI Built-in Node Documentation

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

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

Outputs

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