LatentOperationSharpen - ComfyUI Built-in Node Documentation

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

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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