> ## 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.

# EmptyMochiLatentVideo - ComfyUI Built-in Node Documentation

> EmptyMochiLatentVideo creates an empty latent video tensor with the dimensions you specify.

EmptyMochiLatentVideo creates an empty latent video tensor with the dimensions you specify. It generates a zero-filled latent representation that can be used as a starting point for video generation workflows. The node lets you define the width, height, length, and batch size of the latent video tensor.

## Inputs

| Parameter | Description | Data Type | Required | Range |
| - | - | - | - | - |
| `width` | The width of the latent video in pixels (default: 848, values increase in steps of 16) | INT | Yes | 16 to MAX\_RESOLUTION |
| `height` | The height of the latent video in pixels (default: 480, values increase in steps of 16) | INT | Yes | 16 to MAX\_RESOLUTION |
| `length` | The number of frames in the latent video (default: 25, values increase in steps of 6, starting at 7) | INT | Yes | 7 to MAX\_RESOLUTION |
| `batch_size` | The number of latent videos to generate in a batch (default: 1) | INT | No | 1 to 4096 |

**Note:** The actual latent dimensions are calculated as width/8 and height/8, the temporal dimension is calculated as `((length - 1) // 6) + 1`, and the tensor has 12 channels. Because `length` advances in steps of 6 starting from 7, valid values are 7, 13, 19, 25, and so on.

## Outputs

| Output Name | Description | Data Type |
| - | - | - |
| `samples` | An empty latent video tensor with the specified dimensions, containing all zeros | LATENT |

> 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/EmptyMochiLatentVideo/en.md)

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