ComfyUI Node: gaussian blur

gaussian blur:

The Gaussian Blur_Ally node provides a straightforward interface to apply a Gaussian blur effect to your images. This node is designed to help you achieve a smooth, soft-focus effect by blurring the image, which can be particularly useful for reducing noise or creating artistic effects. The Gaussian blur is a widely used technique in image processing that helps in softening edges and reducing detail, making it ideal for various creative and practical applications. By adjusting the strength of the blur, you can control the intensity of the effect, allowing for subtle to dramatic transformations. This node is user-friendly and integrates seamlessly into your workflow, making it an essential tool for enhancing your images.

gaussian blur Input Parameters:

image

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

strength

This parameter controls the intensity of the Gaussian blur effect. It is a floating-point value with a default of 1.0, a minimum of 0.0, and a maximum of 200.0. Adjusting this value will increase or decrease the blur radius, allowing you to fine-tune the softness of the image.

enabled

This boolean parameter determines whether the Gaussian blur effect is applied. By default, it is set to True. If set to False, the node will bypass the blur effect and output the original image.

gaussian blur Output Parameters:

image

The output is the processed image with the Gaussian blur effect applied. If the enabled parameter is set to False, the output will be the original image without any modifications. The output is provided as an image tensor.

gaussian blur Usage Tips:

• To achieve a subtle blur effect, start with a low strength value (e.g., 1.0 to 5.0) and gradually increase it until you reach the desired level of softness.
• Use the enabled parameter to quickly toggle the blur effect on and off, allowing you to compare the original and blurred images easily.
• Experiment with higher strength values for more dramatic, artistic effects, especially in creative projects where a strong blur can add a unique aesthetic.

gaussian blur Common Errors and Solutions:

Image tensor is not in the correct format

• Explanation: The input image tensor might not be in the expected format, which can cause issues during processing.
• Solution: Ensure that the input image is a valid tensor and follows the required format (e.g., dimensions and data type).

Strength value is out of range

• Explanation: The strength parameter value might be set outside the allowed range (0.0 to 200.0).
• Solution: Verify that the strength value is within the specified range and adjust it accordingly.

Enabled parameter is not a boolean

• Explanation: The enabled parameter should be a boolean value (True or False).
• Solution: Check that the enabled parameter is correctly set to either True or False.