ComfyUI Node: LayerFilter: GaussianBlur

LayerFilter: GaussianBlur:

The LayerFilter: GaussianBlur node is designed to apply a Gaussian blur effect to images, which is a common technique used to reduce image noise and detail. This node is particularly useful for creating a smooth, soft appearance in your images, which can enhance the overall aesthetic or help in blending elements together more seamlessly. The Gaussian blur works by averaging the pixels around a target pixel, weighted by a Gaussian function, which results in a more natural and visually pleasing blur compared to other methods. This node is essential for AI artists looking to add a professional touch to their images by controlling the level of detail and smoothness.

LayerFilter: GaussianBlur Input Parameters:

image

This parameter accepts the image(s) you want to apply the Gaussian blur to. The input should be in the form of an image tensor. The image parameter is required and serves as the primary data that the node processes to produce the blurred effect.

blur

This parameter controls the intensity of the Gaussian blur effect. It is an integer value with a default of 20, a minimum of 1, and a maximum of 999. The blur parameter determines how much the image will be smoothed; higher values result in a stronger blur, while lower values produce a subtler effect. Adjusting this parameter allows you to fine-tune the balance between detail and smoothness in your image.

LayerFilter: GaussianBlur Output Parameters:

image

The output parameter is the processed image with the Gaussian blur effect applied. This output is an image tensor that retains the same dimensions as the input image but with the specified level of blur. The blurred image can be used directly in your projects or further processed with other nodes to achieve the desired visual outcome.

LayerFilter: GaussianBlur Usage Tips:

• Experiment with different blur values to find the optimal level of smoothness for your image. Start with the default value and adjust incrementally to see how it affects the image.
• Use the Gaussian blur effect to soften harsh edges or to create a dreamy, out-of-focus background that makes the main subject stand out more prominently.
• Combine the Gaussian blur node with other filter nodes to create complex visual effects and enhance the overall quality of your images.

LayerFilter: GaussianBlur Common Errors and Solutions:

ValueError: Expected input to be a tensor

• Explanation: This error occurs when the input image is not provided in the correct tensor format.
• Solution: Ensure that the image input is a valid image tensor. Convert your image to a tensor format if necessary before passing it to the node.

IndexError: list index out of range

• Explanation: This error may happen if the input image list is empty or improperly formatted.
• Solution: Verify that the image input is a non-empty list of image tensors. Check the input data to ensure it is correctly structured.

TypeError: unsupported operand type(s) for *: 'NoneType' and 'int'

• Explanation: This error can occur if the blur parameter is not set or is set to an invalid type.
• Solution: Make sure the blur parameter is an integer within the specified range (1 to 999). Double-check the input values to ensure they are correctly defined.