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.

## Inputs

| Parameter | Description | Data Type |
| --- | --- | --- |
| `latents` | The 'latents' parameter represents the input latent representations to be rebatched. It is crucial for determining the structure and content of the output batch. | `LATENT` |
| `batch_size` | 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. | `INT` |

## Outputs

| Parameter | Description | Data Type |
| --- | --- | --- |
| `latent` | The output is a reorganized batch of latent representations, adjusted according to the specified batch size. It facilitates further processing or analysis. | `LATENT` |

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