Skip to main content
The VAEEncodeTiled node processes images by breaking them into smaller tiles and encoding them using a Variational Autoencoder. This tiled approach allows handling of 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

ParameterDescriptionData TypeRequiredRange
pixelsThe input image data to be encodedIMAGEYes-
vaeThe Variational Autoencoder model used for encodingVAEYes-
tile_sizeThe size of each tile for spatial processing (default: 512)INTYes64-4096 (step: 64)
overlapThe amount of overlap between adjacent tiles (default: 64)INTYes0-4096 (step: 32)
temporal_sizeOnly used for video VAEs: Amount of frames to encode at a time (default: 64)INTYes8-4096 (step: 4)
temporal_overlapOnly used for video VAEs: Amount of frames to overlap (default: 8)INTYes4-4096 (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 NameDescriptionData Type
LATENTThe encoded latent representation of the input imageLATENT
This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHub

Source fingerprint (SHA-256): 87420b96ef9b2d5ef18ecb0339a62b6955151e2a9d2c4390758048c00432939a