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Enhance image edges with defined, artistic effects using edge detection techniques for stylized customization.
The BMAB Edge node is designed to enhance the edges within an image, providing a more defined and artistic look. This node leverages edge detection techniques to identify and emphasize the boundaries within an image, making it particularly useful for creating stylized effects or highlighting specific features. By adjusting the thresholds and strength parameters, you can control the intensity and appearance of the edges, allowing for a wide range of creative possibilities. The main goal of the BMAB Edge node is to offer a simple yet powerful tool for artists to enhance their images with clear and customizable edge effects.
This parameter represents the input image that you want to process. It accepts an image in the form of a tensor, which will be used as the base for edge detection and enhancement.
This parameter sets the first threshold for the Canny edge detection algorithm. It determines the lower boundary for edge detection, with a default value of 50.0. The minimum value is 1.0, and the maximum value is 255. Adjusting this value will affect the sensitivity of the edge detection, with lower values detecting more edges and higher values detecting fewer edges.
This parameter sets the second threshold for the Canny edge detection algorithm. It determines the upper boundary for edge detection, with a default value of 200.0. The minimum value is 1.0, and the maximum value is 255. This value works in conjunction with threshold1 to fine-tune the edge detection process, with higher values resulting in more prominent edges.
This parameter controls the blending strength between the original image and the edge-enhanced image. It has a default value of 0.5, with a minimum value of 0 and a maximum value of 1.0. Adjusting this value allows you to control the intensity of the edge effect, with lower values resulting in a more subtle effect and higher values creating a more pronounced edge enhancement.
This hidden parameter is used internally to ensure the uniqueness of the node instance. It is not intended to be modified by the user.
This parameter represents the output image after the edge enhancement process. The resulting image will have more defined and emphasized edges based on the input parameters, providing a stylized and artistic effect that can be used for various creative purposes.
threshold1
and threshold2
to achieve the desired level of edge detection. Lower values will detect more edges, while higher values will result in fewer, more prominent edges.strength
parameter to control the blending between the original image and the edge-enhanced image. A lower strength will create a more subtle effect, while a higher strength will make the edges more pronounced.threshold1
and threshold2
are within the range of 1.0 to 255.strength
parameter is within the range of 0 to 1.0.© Copyright 2024 RunComfy. All Rights Reserved.