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Apply Gaussian blur effect to images for noise reduction, creating smooth, dreamy visuals with adjustable intensity and spread.
The ImageBlur node is designed to apply a Gaussian blur effect to an image, which can help in reducing noise and detail, creating a smoother and softer appearance. This node is particularly useful in various artistic and image processing tasks where you want to achieve a dreamy or out-of-focus effect. By adjusting the blur radius and sigma, you can control the intensity and spread of the blur, allowing for a wide range of creative possibilities. The Gaussian blur method ensures that the transition between blurred and non-blurred areas is smooth and natural, making it a preferred choice for high-quality image processing.
This parameter represents the input image that you want to apply the blur effect to. The image should be in a tensor format, typically with dimensions corresponding to batch size, height, width, and channels.
The blur radius determines the size of the area around each pixel that will be considered for blurring. A larger radius results in a more pronounced blur effect, as it includes more neighboring pixels in the calculation. The minimum value is 0, which means no blur, and there is no strict maximum value, but practical values usually range from 1 to 50. The default value is often set to a moderate level to provide a noticeable but not overwhelming blur.
Sigma is the standard deviation of the Gaussian distribution used in the blur process. It controls the spread of the blur effect; a higher sigma value results in a wider and softer blur. The minimum value is typically a small positive number, such as 0.1, and there is no strict maximum, but values usually range from 0.1 to 10. The default value is chosen to balance performance and visual quality.
The output is the blurred version of the input image. This image retains the same dimensions as the input but with the applied Gaussian blur effect. The blurred image can be used directly in your artwork or as a base for further processing.
.to(device)
method to move the tensor to the appropriate device.© Copyright 2024 RunComfy. All Rights Reserved.