Skip to main content
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

ParameterDescriptionData TypeRequiredRange
widthThe width of the final image to generate. The latent width will be this value divided by 16. The default value is 1024.INTYes16 to 8192
heightThe height of the final image to generate. The latent height will be this value divided by 16. The default value is 1024.INTYes16 to 8192
batch_sizeThe number of latent samples to generate in a single batch. The default value is 1.INTNo1 to 4096
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 NameDescriptionData Type
samplesA latent tensor filled with zeros. The shape is [batch_size, 128, height // 16, width // 16].LATENT
This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHub

Source fingerprint (SHA-256): 337c687b6b3ebb8854618911ab966118940de369ed84bc9c4ed769289b397588