> ## 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.

# Sd4xupscaleConditioning - ComfyUI Built-in Node Documentation

> Complete documentation for the Sd4xupscaleConditioning node in ComfyUI. Learn its inputs, outputs, parameters and usage.

This node specializes in enhancing the resolution of images through a 4x upscale process, incorporating conditioning elements to refine the output. It leverages diffusion techniques to upscale images while allowing for the adjustment of scale ratio and noise augmentation to fine-tune the enhancement process.

## Inputs

| Parameter            | Comfy dtype    | Description                                                                                                                                                             |
| -------------------- | -------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `images`             | `IMAGE`        | The input images to be upscaled. This parameter is crucial as it directly influences the quality and resolution of the output images.                                   |
| `positive`           | `CONDITIONING` | Positive conditioning elements that guide the upscale process towards desired attributes or features in the output images.                                              |
| `negative`           | `CONDITIONING` | Negative conditioning elements that the upscale process should avoid, helping to steer the output away from undesired attributes or features.                           |
| `scale_ratio`        | `FLOAT`        | Determines the factor by which the image resolution is increased. A higher scale ratio results in a larger output image, allowing for greater detail and clarity.       |
| `noise_augmentation` | `FLOAT`        | Controls the level of noise augmentation applied during the upscale process. This can be used to introduce variability and improve the robustness of the output images. |

## Outputs

| Parameter  | Data Type      | Description                                                                                                                  |
| ---------- | -------------- | ---------------------------------------------------------------------------------------------------------------------------- |
| `positive` | `CONDITIONING` | The refined positive conditioning elements resulting from the upscale process.                                               |
| `negative` | `CONDITIONING` | The refined negative conditioning elements resulting from the upscale process.                                               |
| `latent`   | `LATENT`       | A latent representation generated during the upscale process, which can be utilized in further processing or model training. |