VAEDecodeTiled - ComfyUI Built-in Node Documentation

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

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The VAEDecodeTiled node decodes latent representations into images using a tiled approach to handle large images efficiently. It processes the input in smaller tiles to manage memory usage while maintaining image quality. The node also supports video VAEs by processing temporal frames in chunks with overlap for smooth transitions.

Inputs

Parameter	Data Type	Required	Range	Description
samples	LATENT	Yes	-	The latent representation to be decoded into images
vae	VAE	Yes	-	The VAE model used for decoding the latent samples
tile_size	INT	Yes	64-4096 (step: 32)	The size of each tile for processing (default: 512)
overlap	INT	Yes	0-4096 (step: 32)	The amount of overlap between adjacent tiles (default: 64)
temporal_size	INT	Yes	8-4096 (step: 4)	Only used for video VAEs: Amount of frames to decode at a time (default: 64)
temporal_overlap	INT	Yes	4-4096 (step: 4)	Only used for video VAEs: Amount of frames to overlap (default: 8)

Note: The node automatically adjusts overlap values if they exceed practical limits. If tile_size is less than 4 times the overlap, the overlap is reduced to one quarter of the tile size. Similarly, if temporal_size is less than twice the temporal_overlap, the temporal overlap is halved.

Outputs

Output Name	Data Type	Description
IMAGE	IMAGE	The decoded image or images generated from the latent representation