> ## Documentation Index
> Fetch the complete documentation index at: https://dripart-docs-partner-nodes-consolidate.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# HunyuanVideo15SuperResolution - ComfyUI Built-in Node Documentation

> The HunyuanVideo15SuperResolution node prepares conditioning data for a video super-resolution process.

The HunyuanVideo15SuperResolution node prepares conditioning data for a video super-resolution process. It takes a latent representation of a video and, optionally, a starting image, and packages them along with noise augmentation and CLIP vision data into a format that can be used by a model to generate a higher-resolution output.

## Inputs

| Parameter            | Description                                                                                                                     | Data Type            | Required | Range                 |
| -------------------- | ------------------------------------------------------------------------------------------------------------------------------- | -------------------- | -------- | --------------------- |
| `positive`           | The positive conditioning input to be modified with latent and augmentation data.                                               | CONDITIONING         | Yes      | N/A                   |
| `negative`           | The negative conditioning input to be modified with latent and augmentation data.                                               | CONDITIONING         | Yes      | N/A                   |
| `vae`                | The VAE used to encode the optional `start_image`. Required if `start_image` is provided.                                       | VAE                  | No       | N/A                   |
| `start_image`        | An optional starting image to guide the super-resolution. If provided, it is upscaled and encoded into the conditioning latent. | IMAGE                | No       | N/A                   |
| `clip_vision_output` | Optional CLIP vision embeddings to add to the conditioning.                                                                     | CLIP\_VISION\_OUTPUT | No       | N/A                   |
| `latent`             | The input latent video representation that is incorporated into the conditioning.                                               | LATENT               | Yes      | N/A                   |
| `noise_augmentation` | The strength of noise augmentation to apply to the conditioning (default: 0.70). This is an advanced parameter.                 | FLOAT                | No       | 0.0 - 1.0 (step 0.01) |

**Note:** If you provide a `start_image`, you must also connect a `vae` so it can be encoded. The `start_image` is automatically upscaled to 16 times the spatial dimensions (width and height) of the input `latent`, then encoded and placed into the conditioning latent. Only the RGB channels of the `start_image` are used for encoding.

## Outputs

| Output Name | Description                                                                                                                    | Data Type    |
| ----------- | ------------------------------------------------------------------------------------------------------------------------------ | ------------ |
| `positive`  | The modified positive conditioning, now containing the concatenated latent, noise augmentation, and optional CLIP vision data. | CONDITIONING |
| `negative`  | The modified negative conditioning, now containing the concatenated latent, noise augmentation, and optional CLIP vision data. | CONDITIONING |
| `latent`    | The input latent is passed through unchanged.                                                                                  | 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/HunyuanVideo15SuperResolution/en.md)

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