CosmosPredict2ImageToVideoLatent - ComfyUI Built-in Node Documentation

CosmosPredict2ImageToVideoLatent creates video latent representations from images for video generation. It can generate a blank video latent or incorporate start and end images to create video sequences with specified dimensions and duration. The node handles the encoding of images into the appropriate latent space format for video processing.

Inputs

Parameter	Description	Data Type	Required	Range
`vae`	The VAE model used for encoding images into latent space	VAE	Yes	-
`width`	The width of the output video in pixels (default: 848, must be divisible by 16)	INT	Yes	16 to MAX_RESOLUTION
`height`	The height of the output video in pixels (default: 480, must be divisible by 16)	INT	Yes	16 to MAX_RESOLUTION
`length`	The number of frames in the video sequence (default: 93, step: 4)	INT	Yes	1 to MAX_RESOLUTION
`batch_size`	The number of video sequences to generate (default: 1)	INT	Yes	1 to 4096
`start_image`	Optional starting image for the video sequence	IMAGE	No	-
`end_image`	Optional ending image for the video sequence	IMAGE	No	-

Note: When neither start_image nor end_image are provided, the node generates a blank video latent. When one or both images are provided, they are resized to width and height, encoded into latent space, and positioned at the beginning and/or end of the video sequence, with the corresponding regions marked in the noise mask so they are preserved during generation. The resulting latent and mask are repeated batch_size times.

Outputs

Output Name	Description	Data Type
`samples`	The generated video latent representation containing the encoded video sequence	LATENT
`noise_mask`	A mask indicating which parts of the latent should be preserved during generation. Only present when at least one of `start_image` or `end_image` is provided.	LATENT

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