> ## Documentation Index
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# HunyuanVideo15LatentUpscaleWithModel - ComfyUI Built-in Node Documentation

> The Hunyuan Video 15 Latent Upscale With Model node increases the resolution of a latent image representation.

The Hunyuan Video 15 Latent Upscale With Model node increases the resolution of a latent image representation. It first upscales the latent samples to a specified size using a chosen interpolation method, then refines the upscaled result using a specialized Hunyuan Video 1.5 upscale model to improve quality.

## Inputs

| Parameter        | Description                                                                                                                                                                                                                          | Data Type              | Required | Range                                                                               |
| ---------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ---------------------- | -------- | ----------------------------------------------------------------------------------- |
| `model`          | The Hunyuan Video 1.5 latent upscale model used to refine the upscaled samples.                                                                                                                                                      | LATENT\_UPSCALE\_MODEL | Yes      | N/A                                                                                 |
| `samples`        | The latent image representation to be upscaled.                                                                                                                                                                                      | LATENT                 | Yes      | N/A                                                                                 |
| `upscale_method` | The interpolation algorithm used for the initial upscaling step (default: `"bilinear"`).                                                                                                                                             | COMBO                  | Yes      | `"nearest-exact"`<br />`"bilinear"`<br />`"area"`<br />`"bicubic"`<br />`"bislerp"` |
| `width`          | The target width for the upscaled latent, in pixels. A value of 0 will calculate the width automatically based on the target height and the original aspect ratio. The final output width will be a multiple of 16 (default: 1280).  | INT                    | Yes      | 0 to 16384 (step: 8)                                                                |
| `height`         | The target height for the upscaled latent, in pixels. A value of 0 will calculate the height automatically based on the target width and the original aspect ratio. The final output height will be a multiple of 16 (default: 720). | INT                    | Yes      | 0 to 16384 (step: 8)                                                                |
| `crop`           | Determines how the upscaled latent is cropped to fit the target dimensions.                                                                                                                                                          | COMBO                  | Yes      | `"disabled"`<br />`"center"`                                                        |

**Note on Dimensions:** If both `width` and `height` are set to 0, the node returns the input `samples` unchanged. If only one dimension is set to 0, the other dimension is calculated to preserve the original aspect ratio. Both values are clamped to a minimum of 64, and the upscale target passed to the interpolation step is `width // 16` by `height // 16`, so the requested dimensions are effectively rounded down to multiples of 16.

## Outputs

| Output Name | Description                                                                                        | Data Type |
| ----------- | -------------------------------------------------------------------------------------------------- | --------- |
| `LATENT`    | The upscaled and model-refined latent image representation, returned as a float tensor on the CPU. | 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/HunyuanVideo15LatentUpscaleWithModel/en.md)

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