ComfyUI Node: 🪐TTP Tile Preprocessor HYDiT cufoff

🪐TTP Tile Preprocessor HYDiT cufoff:

The TTPlanet_Tile_Preprocessor_cufoff node is designed to enhance image processing by applying a series of transformations that focus on frequency-based filtering. This node is particularly useful for AI artists who want to manipulate images by adjusting their frequency components, which can help in achieving specific artistic effects or improving image quality. The node's primary function is to preprocess images by applying a cutoff frequency filter, which allows you to control the level of detail and smoothness in the image. By adjusting parameters such as blur strength and filter strength, you can fine-tune the image's appearance, making it either sharper or more blurred, depending on your artistic needs. This node is an essential tool for those looking to explore the creative possibilities of image preprocessing in a user-friendly manner.

🪐TTP Tile Preprocessor HYDiT cufoff Input Parameters:

image

The image parameter is the input image that you want to process. It serves as the base for all transformations applied by the node. This parameter is required and should be provided in a compatible image format.

scale_factor

The scale_factor parameter determines the scaling applied to the image. It allows you to resize the image, with a default value of 1.00, meaning no scaling. The value can range from 1.00 to 8.00, with increments of 0.05, enabling precise control over the image size.

blur_strength

The blur_strength parameter controls the intensity of the blur effect applied to the image. With a default value of 2.0, it can be adjusted between 1.0 and 10.0 in steps of 0.1. Increasing this value results in a more pronounced blur, which can help in reducing noise or creating a softer image appearance.

cutoff_frequency

The cutoff_frequency parameter sets the threshold for the frequency filter applied to the image. It determines which frequency components are retained or removed, with a default value of 100. The range is from 0 to 256, allowing for fine-tuning of the image's detail level. Lower values result in a smoother image, while higher values preserve more detail.

filter_strength

The filter_strength parameter adjusts the overall strength of the frequency filter. It has a default value of 1.0 and can be set between 0.1 and 10.0, with increments of 0.1. This parameter influences how aggressively the filter affects the image, providing control over the balance between detail and smoothness.

🪐TTP Tile Preprocessor HYDiT cufoff Output Parameters:

image_output

The image_output parameter is the processed image resulting from the node's transformations. It reflects the changes made based on the input parameters, such as scaling, blurring, and frequency filtering. This output is crucial for evaluating the effects of the preprocessing and serves as the final product for further artistic or analytical use.

🪐TTP Tile Preprocessor HYDiT cufoff Usage Tips:

• Experiment with the cutoff_frequency to find the right balance between detail and smoothness for your specific artistic vision. Lower values can create a more abstract look, while higher values retain more detail.
• Use the blur_strength in conjunction with filter_strength to achieve a desired level of softness or sharpness in your image. This combination can help in creating unique textures or enhancing specific features.

🪐TTP Tile Preprocessor HYDiT cufoff Common Errors and Solutions:

Image format not supported

• Explanation: The input image is not in a compatible format.
• Solution: Ensure that the image is in a supported format, such as JPEG or PNG, before processing.

Scale factor out of range

• Explanation: The scale_factor value is outside the allowed range of 1.00 to 8.00.
• Solution: Adjust the scale_factor to be within the specified range to ensure proper image scaling.

Cutoff frequency out of range

• Explanation: The cutoff_frequency value is not within the 0 to 256 range.
• Solution: Set the cutoff_frequency to a value within the allowed range to apply the frequency filter correctly.