ComfyUI Node: Topaz Sharpen Settings

Topaz Sharpen Settings:

TopazSharpenSettings is a node designed to enhance the sharpness of images using advanced algorithms provided by Topaz Image AI. This node allows you to fine-tune various sharpening parameters to achieve the desired level of detail and clarity in your images. By adjusting settings such as model type, compression, lens blur, and noise reduction, you can significantly improve the visual quality of your images, making them crisper and more defined. This node is particularly useful for AI artists looking to enhance the finer details in their artwork or photographs, ensuring that the final output is both visually appealing and professionally polished.

Topaz Sharpen Settings Input Parameters:

enabled

This parameter determines whether the sharpening feature is enabled or not. It accepts two options: true or false, with the default being true. When set to true, the sharpening process is applied to the image; otherwise, it is skipped.

model

Specifies the sharpening model to be used. Available options include Standard, Standard V2, High Fidelity, High Fidelity V2, and Low Resolution, with the default being Standard V2. Each model is optimized for different types of images and sharpening needs, allowing you to choose the one that best suits your project.

compression

This parameter controls the level of compression applied during the sharpening process. It accepts a floating-point value with a default of 0.0. Higher values result in more compression, which can affect the quality and sharpness of the final image.

is_lens

Indicates whether the image has lens blur. This parameter accepts a boolean value (true or false), with the default being false. When set to true, the sharpening algorithm takes lens blur into account, providing better results for images affected by lens blur.

lensblur

Controls the amount of lens blur to be considered during sharpening. It accepts a floating-point value with a default of 0.0. Higher values indicate more lens blur, which the algorithm will attempt to correct.

mask

Specifies whether a mask should be used during sharpening. This parameter accepts a boolean value (true or false), with the default being false. When set to true, a mask is applied to selectively sharpen parts of the image.

motionblur

Controls the amount of motion blur to be considered during sharpening. It accepts a floating-point value with a default of 0.0. Higher values indicate more motion blur, which the algorithm will attempt to correct.

noise

Specifies the level of noise reduction to be applied during sharpening. It accepts a floating-point value with a default of 0.0. Higher values result in more noise reduction, which can help in producing cleaner and sharper images.

strength

This parameter controls the overall strength of the sharpening effect. It accepts a floating-point value with a default of 0.0. Higher values result in a stronger sharpening effect, making the image appear crisper.

denoise

Controls the level of denoising to be applied during sharpening. It accepts a floating-point value with a default of 0.0. Higher values result in more denoising, which can help in reducing unwanted noise while sharpening the image.

Topaz Sharpen Settings Output Parameters:

sharpen_settings

This output parameter returns the configured sharpening settings as an instance of TopazSharpenSettings. It encapsulates all the input parameters and their values, providing a comprehensive overview of the sharpening configuration used.

Topaz Sharpen Settings Usage Tips:

• Experiment with different sharpening models to find the one that best suits your image type and desired outcome.
• Adjust the strength parameter incrementally to avoid over-sharpening, which can introduce artifacts.
• Use the noise and denoise parameters together to balance sharpness and noise reduction for cleaner results.
• Enable is_lens and adjust lensblur if your image has noticeable lens blur to achieve better correction.

Topaz Sharpen Settings Common Errors and Solutions:

"Invalid model type"

• Explanation: The specified model type is not recognized.
• Solution: Ensure that the model type is one of the following: Standard, Standard V2, High Fidelity, High Fidelity V2, or Low Resolution.

"Compression value out of range"

• Explanation: The compression value provided is outside the acceptable range.
• Solution: Ensure that the compression value is a floating-point number within the range specified by the node's documentation.

"Invalid boolean value for is_lens or mask"

• Explanation: The value provided for is_lens or mask is not a valid boolean.
• Solution: Ensure that the values for is_lens and mask are either true or false.

"Sharpening strength too high"

• Explanation: The sharpening strength value is too high, causing artifacts.
• Solution: Reduce the strength parameter to a lower value to avoid over-sharpening.

"Denoise value out of range"

• Explanation: The denoise value provided is outside the acceptable range.
• Solution: Ensure that the denoise value is a floating-point number within the range specified by the node's documentation.