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# EmptyQwenImageLayeredLatentImage - ComfyUI Built-in Node Documentation

> Complete documentation for the EmptyQwenImageLayeredLatentImage 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/EmptyQwenImageLayeredLatentImage/en.md)

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

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

## Outputs

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