EmptyQwenImageLayeredLatentImage - ComfyUI Built-in Node Documentation

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

The Empty Qwen Image Layered Latent node creates a blank, multi-layered latent representation for use with Qwen image models. It generates a tensor filled with zeros, structured with a specified number of layers, batch size, and spatial dimensions. This empty latent serves as a starting point for subsequent image generation or manipulation workflows.

Inputs

Parameter	Description	Data Type	Required	Range
width	The width of the latent image to create. The value must be divisible by 16. (default: 640)	INT	Yes	16 to MAX_RESOLUTION
height	The height of the latent image to create. The value must be divisible by 16. (default: 640)	INT	Yes	16 to MAX_RESOLUTION
layers	The number of additional layers to add to the latent structure. This defines the depth of the latent representation. (default: 3)	INT	Yes	0 to MAX_RESOLUTION
batch_size	The number of latent samples to generate in a batch. (default: 1)	INT	No	1 to 4096

Note: The width and height parameters are internally divided by 8 to determine the spatial dimensions of the output latent tensor.

Outputs

Output Name	Description	Data Type
samples	A latent tensor filled with zeros. Its shape is [batch_size, 16, layers + 1, height // 8, width // 8].	LATENT

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