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Specialized image enhancement node using Gaussian blur and Guided Filter for noise reduction and detail enhancement.
The TTPlanet_TileGF_Preprocessor is a specialized node designed to enhance and preprocess images using a combination of Gaussian blur and Guided Filter techniques. This node is particularly useful for AI artists looking to refine their images by reducing noise and enhancing details, making it an essential tool for creating high-quality, visually appealing artwork. By leveraging the Guided Filter, the node ensures that the image retains its essential features while smoothing out unwanted artifacts. The Gaussian blur further aids in reducing noise, providing a cleaner and more polished output. This preprocessor is ideal for tasks that require precise control over image clarity and detail, offering a balance between smoothness and sharpness.
The image
parameter is the primary input for the node, representing the image that you want to preprocess. This parameter accepts an image file in various formats and serves as the base for all subsequent processing steps.
The scale_factor
parameter controls the scaling of the image during the preprocessing. It determines how much the image will be downscaled and then upscaled, which can affect the level of detail and smoothness in the final output. The value ranges from 1.00 to 8.00, with a default of 1.00. Higher values result in more significant scaling, which can enhance the smoothing effect.
The blur_strength
parameter specifies the intensity of the Gaussian blur applied to the image. This helps in reducing noise and smoothing out the image. The value ranges from 1.0 to 10.0, with a default of 2.0. Higher values result in a stronger blur effect, which can be useful for heavily noisy images.
The radius
parameter defines the radius of the Guided Filter. This parameter influences the extent of the filtering effect, with larger values resulting in a more pronounced smoothing effect. The value ranges from 1 to 20, with a default of 7. Adjusting this parameter allows for fine-tuning the balance between detail preservation and noise reduction.
The eps
parameter, short for epsilon, controls the regularization term in the Guided Filter. It helps in maintaining the balance between edge preservation and smoothing. The value ranges from 0.001 to 0.1, with a default of 0.01. Lower values result in sharper edges, while higher values provide smoother transitions.
The IMAGE
output parameter represents the processed image after applying the Gaussian blur and Guided Filter. This output is a refined version of the input image, with reduced noise and enhanced details, making it more suitable for further artistic manipulation or final presentation.
scale_factor
to find the optimal balance between detail and smoothness for your specific image.blur_strength
values for images with significant noise to achieve a cleaner output.radius
parameter to control the extent of the Guided Filter effect, balancing between detail preservation and noise reduction.eps
parameter to maintain sharp edges while achieving the desired level of smoothness.scale_factor
value is outside the allowed range.scale_factor
to be within the range of 1.00 to 8.00.blur_strength
value is outside the allowed range.blur_strength
to be within the range of 1.0 to 10.0.radius
value is outside the allowed range.radius
to be within the range of 1 to 20.eps
value is outside the allowed range.eps
to be within the range of 0.001 to 0.1.© Copyright 2024 RunComfy. All Rights Reserved.