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# LatentOperationSharpen - ComfyUI Built-in Node Documentation

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

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

## Outputs

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