The LatentBatch node is designed to merge two sets of latent samples into a single batch, potentially resizing one set to match the dimensions of the other before concatenation. This operation facilitates the combination of different latent representations for further processing or generation tasks.

## Inputs

| Parameter | Description | Data Type |
| --- | --- | --- |
| `samples1` | The first set of latent samples to be merged. It plays a crucial role in determining the final shape of the merged batch. | `LATENT` |
| `samples2` | The second set of latent samples to be merged. If its dimensions differ from the first set, it is resized to ensure compatibility before merging. | `LATENT` |

## Outputs

| Parameter | Description | Data Type |
| --- | --- | --- |
| `latent` | The merged set of latent samples, now combined into a single batch for further processing. | `LATENT` |

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