This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHubThe 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 |