Wan22ImageToVideoLatent - ComfyUI Built-in Node Documentation

Complete documentation for the Wan22ImageToVideoLatent node in ComfyUI. Learn its inputs, outputs, parameters and usage.

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The Wan22ImageToVideoLatent node creates video latent representations from images. It generates a blank video latent space with specified dimensions and can optionally encode a starting image sequence into the beginning frames. When a start image is provided, it encodes the image into the latent space and creates a corresponding noise mask for the inpainted regions.

Inputs

Parameter	Data Type	Required	Range	Description
vae	VAE	Yes	-	The VAE model used for encoding images into latent space
width	INT	No	32 to MAX_RESOLUTION	The width of the output video in pixels (default: 1280, step: 32)
height	INT	No	32 to MAX_RESOLUTION	The height of the output video in pixels (default: 704, step: 32)
length	INT	No	1 to MAX_RESOLUTION	The number of frames in the video sequence (default: 49, step: 4)
batch_size	INT	No	1 to 4096	The number of batches to generate (default: 1)
start_image	IMAGE	No	-	Optional starting image sequence to encode into the video latent

Note: When start_image is provided, the node encodes the image sequence into the beginning frames of the latent space and generates a corresponding noise mask. The width and height parameters must be divisible by 16 for proper latent space dimensions.

Outputs

Output Name	Data Type	Description
samples	LATENT	The generated video latent representation
noise_mask	LATENT	The noise mask indicating which regions should be denoised during generation