Rebatch Latents
Documentation
Class name:
RebatchLatentsCategory:
latent/batchOutput node:
False
The RebatchLatents node is designed to reorganize a batch of latent representations into a new batch configuration, based on a specified batch size. It ensures that the latent samples are grouped appropriately, handling variations in dimensions and sizes, to facilitate further processing or model inference.
Input types
latents
LATENT
The ‘latents’ parameter represents the input latent representations to be rebatched. It is crucial for determining the structure and content of the output batch.
batch_size
INT
The ‘batch_size’ parameter specifies the desired number of samples per batch in the output. It directly influences the grouping and division of the input latents into new batches.
Output types
latent
LATENT
The output is a reorganized batch of latent representations, adjusted according to the specified batch size. It facilitates further processing or analysis.
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