EmptyFlux2LatentImage - ComfyUI Built-in Node Documentation

Complete documentation for the EmptyFlux2LatentImage node in ComfyUI. Learn its inputs, outputs, parameters and usage.

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The EmptyFlux2LatentImage node creates a blank, empty latent representation. It generates a tensor filled with zeros, which serves as a starting point for the Flux model’s denoising process. The dimensions of the latent are determined by the input width and height, scaled down by a factor of 16.

Inputs

Parameter	Data Type	Required	Range	Description
width	INT	Yes	16 to 8192	The width of the final image to generate. The latent width will be this value divided by 16. The default value is 1024.
height	INT	Yes	16 to 8192	The height of the final image to generate. The latent height will be this value divided by 16. The default value is 1024.
batch_size	INT	No	1 to 4096	The number of latent samples to generate in a single batch. The default value is 1.

Note: The width and height inputs must be divisible by 16, as the node internally divides them by this factor to create the latent dimensions.

Outputs

Output Name	Data Type	Description
samples	LATENT	A latent tensor filled with zeros. The shape is [batch_size, 128, height // 16, width // 16].