This node creates an empty latent tensor specifically formatted for use with the HunyuanVideo 1.5 model. It generates a blank starting point for video generation by allocating a tensor of zeros with the correct channel count and spatial dimensions for the model's latent space.

## Inputs

| Parameter | Description | Data Type | Required | Range |
| --- | --- | --- | --- | --- |
| `width` | The width of the video frame in pixels. | INT | Yes | - |
| `height` | The height of the video frame in pixels. | INT | Yes | - |
| `length` | The number of frames in the video sequence. | INT | Yes | - |
| `batch_size` | The number of video samples to generate in a batch (default: 1). | INT | No | - |

**Note:** The spatial dimensions of the generated latent tensor are calculated by dividing the input `width` and `height` by 16. The temporal dimension (frames) is calculated as `((length - 1) // 4) + 1`.

## Outputs

| Output Name | Description | Data Type |
| --- | --- | --- |
| `samples` | An empty latent tensor with dimensions suitable for the HunyuanVideo 1.5 model. The tensor has a shape of `[batch_size, 32, frames, height//16, width//16]`. The output also includes a `downscale_ratio_spacial` value of 16. | 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/EmptyHunyuanVideo15Latent/en.md)

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