> ## Documentation Index
> Fetch the complete documentation index at: https://dripart-feat-openapi-i18n.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# LatentOperationSharpen - ComfyUI Built-in Node Documentation

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

The LatentOperationSharpen node applies a sharpening effect to latent representations using a Gaussian kernel. It works by normalizing the latent data, applying a convolution with a custom sharpening kernel, and then restoring the original luminance. This enhances the details and edges in the latent space representation.

## Inputs

| Parameter        | Description                                                   | Data Type | Required | Range    |
| ---------------- | ------------------------------------------------------------- | --------- | -------- | -------- |
| `sharpen_radius` | The radius of the sharpening kernel (default: 9)              | INT       | No       | 1-31     |
| `sigma`          | The standard deviation for the Gaussian kernel (default: 1.0) | FLOAT     | No       | 0.1-10.0 |
| `alpha`          | The sharpening intensity factor (default: 0.1)                | FLOAT     | No       | 0.0-5.0  |

## Outputs

| Output Name | Description                                                       | Data Type         |
| ----------- | ----------------------------------------------------------------- | ----------------- |
| `operation` | Returns a sharpening operation that can be applied to latent data | LATENT\_OPERATION |

> 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/LatentOperationSharpen/en.md)

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