> ## Documentation Index
> Fetch the complete documentation index at: https://docs.comfy.org/llms.txt
> Use this file to discover all available pages before exploring further.

# LatentCutToBatch - ComfyUI Built-in Node Documentation

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

> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/LatentCutToBatch/en.md)

The LatentCutToBatch node takes a latent representation and splits it along a specified dimension into multiple slices. These slices are then stacked into a new batch dimension, effectively converting a single latent sample into a batch of smaller latent samples. This is useful for processing different parts of a latent space independently.

## Inputs

| Parameter    | Data Type | Required | Range                       | Description                                                                                                                                                            |
| ------------ | --------- | -------- | --------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `samples`    | LATENT    | Yes      | -                           | The latent representation to be split and batched.                                                                                                                     |
| `dim`        | COMBO     | Yes      | `"t"`<br />`"x"`<br />`"y"` | The dimension along which to cut the latent samples. `"t"` refers to the temporal dimension, `"x"` to the width, and `"y"` to the height.                              |
| `slice_size` | INT       | Yes      | 1 to 16384                  | The size of each slice to cut from the specified dimension. If the dimension's size is not perfectly divisible by this value, the remainder is discarded. (default: 1) |

## Outputs

| Output Name | Data Type | Description                                                            |
| ----------- | --------- | ---------------------------------------------------------------------- |
| `samples`   | LATENT    | The resulting latent batch, containing the sliced and stacked samples. |