ComfyUI Node: ImageFilterStackBlur

ImageFilterStackBlur:

The ImageFilterStackBlur node is designed to apply a stack blur effect to your images, which is a type of blur that efficiently smooths out the image while preserving edges better than some other blur techniques. This node is particularly useful for creating a soft, dreamy effect or for reducing noise in an image. The stack blur method works by repeatedly applying a box blur, which is computationally efficient and produces a visually appealing result. This node allows you to control the intensity of the blur effect by adjusting the horizontal and vertical blur sizes, giving you flexibility in achieving the desired look for your artwork.

ImageFilterStackBlur Input Parameters:

images

This parameter accepts the image or images you want to apply the stack blur effect to. The input should be in the form of an image tensor.

size_x

This parameter controls the horizontal size of the blur effect. The larger the value, the more pronounced the blur will be along the horizontal axis. The default value is 10, with a minimum value of 1, and it increments in steps of 2. Adjusting this parameter allows you to fine-tune the horizontal blur intensity.

size_y

This parameter controls the vertical size of the blur effect. Similar to size_x, a larger value results in a more pronounced blur along the vertical axis. The default value is 10, with a minimum value of 1, and it increments in steps of 2. This parameter helps you fine-tune the vertical blur intensity.

ImageFilterStackBlur Output Parameters:

IMAGE

The output is the processed image with the stack blur effect applied. This image tensor will have the same dimensions as the input image but with the blur effect based on the specified size_x and size_y parameters. The result is a smoother, softer image that retains important edge details.

ImageFilterStackBlur Usage Tips:

• To achieve a subtle blur effect, start with smaller values for size_x and size_y and gradually increase them until you reach the desired level of smoothness.
• For a more pronounced blur effect, use larger values for size_x and size_y. This can be particularly useful for creating background effects or reducing noise in an image.
• Experiment with different combinations of size_x and size_y to see how the blur effect changes. This can help you find the perfect balance for your specific artistic needs.

ImageFilterStackBlur Common Errors and Solutions:

ValueError: Invalid image tensor

• Explanation: This error occurs if the input image tensor is not in the correct format or is corrupted.
• Solution: Ensure that the input image tensor is correctly formatted and not corrupted. Verify that the image data is properly loaded before passing it to the node.

ValueError: size_x and size_y must be positive integers

• Explanation: This error occurs if the size_x or size_y parameters are set to values less than 1. - Solution: Make sure that both size_x and size_y are set to positive integers, with a minimum value of 1. Adjust the parameters accordingly and try again.

TypeError: Expected image tensor, got <type>

• Explanation: This error occurs if the input provided is not an image tensor.
• Solution: Verify that the input is an image tensor. Check the data type of the input and ensure it matches the expected format for image tensors.