> ## Documentation Index
> Fetch the complete documentation index at: https://docs.comfy.org/llms.txt
> Use this file to discover all available pages before exploring further.

# HunyuanRefinerLatent - ComfyUI Built-in Node Documentation

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

The HunyuanRefinerLatent node processes conditioning and latent inputs for refinement operations. It applies noise augmentation to both positive and negative conditioning while incorporating latent image data, and generates a new latent output with specific dimensions for further processing.

## Inputs

| Parameter            | Data Type    | Required | Range     | Description                                               |
| -------------------- | ------------ | -------- | --------- | --------------------------------------------------------- |
| `positive`           | CONDITIONING | Yes      | -         | The positive conditioning input to be processed           |
| `negative`           | CONDITIONING | Yes      | -         | The negative conditioning input to be processed           |
| `latent`             | LATENT       | Yes      | -         | The latent representation input                           |
| `noise_augmentation` | FLOAT        | Yes      | 0.0 - 1.0 | The amount of noise augmentation to apply (default: 0.10) |

## Outputs

| Output Name | Data Type    | Description                                                                                        |
| ----------- | ------------ | -------------------------------------------------------------------------------------------------- |
| `positive`  | CONDITIONING | The processed positive conditioning with applied noise augmentation and latent image concatenation |
| `negative`  | CONDITIONING | The processed negative conditioning with applied noise augmentation and latent image concatenation |
| `latent`    | LATENT       | A new latent output with dimensions \[batch\_size, 32, height, width, channels]                    |