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# EmptyFlux2LatentImage - ComfyUI Built-in Node Documentation

> Complete documentation for the EmptyFlux2LatentImage 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/EmptyFlux2LatentImage/en.md)

The EmptyFlux2LatentImage node creates a blank, empty latent representation. It generates a tensor filled with zeros, which serves as a starting point for the Flux model's denoising process. The dimensions of the latent are determined by the input width and height, scaled down by a factor of 16.

## Inputs

| Parameter    | Data Type | Required | Range      | Description                                                                                                               |
| ------------ | --------- | -------- | ---------- | ------------------------------------------------------------------------------------------------------------------------- |
| `width`      | INT       | Yes      | 16 to 8192 | The width of the final image to generate. The latent width will be this value divided by 16. The default value is 1024.   |
| `height`     | INT       | Yes      | 16 to 8192 | The height of the final image to generate. The latent height will be this value divided by 16. The default value is 1024. |
| `batch_size` | INT       | No       | 1 to 4096  | The number of latent samples to generate in a single batch. The default value is 1.                                       |

**Note:** The `width` and `height` inputs must be divisible by 16, as the node internally divides them by this factor to create the latent dimensions.

## Outputs

| Output Name | Data Type | Description                                                                                     |
| ----------- | --------- | ----------------------------------------------------------------------------------------------- |
| `samples`   | LATENT    | A latent tensor filled with zeros. The shape is `[batch_size, 128, height // 16, width // 16]`. |