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Apply Gaussian blur effect to images for noise reduction and aesthetic enhancement, ideal for creating soft appearance and focusing attention.
The ImageGaussianBlur node is designed to apply a Gaussian blur effect to images, which is a common technique used in image processing to reduce noise and detail. This node is particularly useful for creating a smooth, soft appearance in images, which can enhance the aesthetic quality or prepare the image for further processing steps. By blurring the image, you can achieve a more polished look or focus attention on specific areas by reducing the prominence of less important details. The Gaussian blur method is known for its ability to produce a natural-looking blur effect, making it a valuable tool for AI artists looking to refine their digital artwork.
This parameter accepts a list of images that you want to apply the Gaussian blur effect to. Each image should be in a compatible format that the node can process. The images parameter is essential as it provides the raw data that will be transformed by the blur effect.
The radius parameter determines the strength of the blur effect. It specifies the radius of the Gaussian kernel used to blur the image. A larger radius results in a stronger blur, while a smaller radius produces a more subtle effect. The radius can range from a minimum value of 1 to a maximum value of 100, with a default value of 1. Adjusting this parameter allows you to control the extent of the blurring to achieve the desired visual outcome.
The output of the ImageGaussianBlur node is a blurred version of the input images. This output retains the same dimensions and format as the original images but with the applied Gaussian blur effect. The blurred images can be used directly in your artwork or as a pre-processed input for further image manipulation tasks.
ValueError: Invalid image format
ValueError: Radius out of range
RuntimeError: CUDA out of memory
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