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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