The Empty Qwen Image Layered Latent node creates a blank, multi-layered latent representation for use with Qwen image models. It generates a tensor filled with zeros, structured with a specified number of layers, batch size, and spatial dimensions. This empty latent serves as a starting point for subsequent image generation or manipulation workflows.

## Inputs

| Parameter | Description | Data Type | Required | Range |
| --- | --- | --- | --- | --- |
| `width` | The width of the latent image to create. The value must be divisible by 16. (default: 640) | INT | Yes | 16 to MAX_RESOLUTION |
| `height` | The height of the latent image to create. The value must be divisible by 16. (default: 640) | INT | Yes | 16 to MAX_RESOLUTION |
| `layers` | The number of additional layers to add to the latent structure. This defines the depth of the latent representation. (default: 3) | INT | Yes | 0 to MAX_RESOLUTION |
| `batch_size` | The number of latent samples to generate in a batch. (default: 1) | INT | No | 1 to 4096 |

**Note:** The `width` and `height` parameters are internally divided by 8 to determine the spatial dimensions of the output latent tensor.

## Outputs

| Output Name | Description | Data Type |
| --- | --- | --- |
| `samples` | A latent tensor filled with zeros. Its shape is `[batch_size, 16, layers + 1, height // 8, width // 8]`. | 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/EmptyQwenImageLayeredLatentImage/en.md)

---
**Source fingerprint (SHA-256):** `fe97966663c534dd347aa49a908a8026f2c34716631f1d17be97d74eacc3574e`
