VAEEncodeTiled - ComfyUI Built-in Node Documentation - ComfyUI

VAEEncodeTiled processes images by breaking them into smaller tiles and encoding them using a Variational Autoencoder. This tiled approach allows handling large images that might otherwise exceed memory limitations. The node supports both image and video VAEs, with separate tiling controls for spatial and temporal dimensions.

Inputs

Parameter	Description	Data Type	Required	Range
`pixels`	The input image data to be encoded	IMAGE	Yes	-
`vae`	The Variational Autoencoder model used for encoding	VAE	Yes	-
`tile_size`	The size of each tile for spatial processing (default: 512)	INT	Yes	64-4096 (step: 64)
`overlap`	The amount of overlap between adjacent tiles (default: 64)	INT	Yes	0-4096 (step: 32)
`temporal_size`	Only used for video VAEs: Amount of frames to encode at a time (default: 64)	INT	Yes	8-4096 (step: 4)
`temporal_overlap`	Only used for video VAEs: Amount of frames to overlap (default: 8)	INT	Yes	4-4096 (step: 4)

Note: The temporal_size and temporal_overlap parameters are only relevant when using video VAEs and have no effect on standard image VAEs.

Outputs

Output Name	Description	Data Type
`LATENT`	The encoded latent representation of the input image	LATENT

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