ComfyUI Node: Noise Plus Blend

Noise Plus Blend:

The NoisePlusBlend node is designed to enhance images by blending them with generated noise, using a technique known as soft light blending. This node is particularly useful for artists and designers looking to add texture or subtle variations to their images, creating a more dynamic and visually interesting result. By applying Gaussian noise to a base image and blending it with adjustable opacity, the node allows for fine-tuning of the noise effect, ensuring that the final image maintains its original details while gaining an artistic touch. The node also supports the use of masks, enabling selective application of the noise effect to specific areas of the image, thus providing greater control over the creative process.

Noise Plus Blend Input Parameters:

image

The image parameter is the base image to which noise will be added. It serves as the canvas for the noise blending process. This parameter is crucial as it determines the size and resolution of the noise to be generated and blended. The image should be provided in a tensor format, which will be converted to a PIL image for processing.

noise_scale

The noise_scale parameter controls the intensity of the Gaussian noise generated. It affects how pronounced the noise will appear when blended with the base image. A lower value results in subtle noise, while a higher value increases the noise intensity. The default value is 0.05, which provides a balanced noise effect without overwhelming the original image details.

blend_opacity

The blend_opacity parameter determines the transparency level of the noise when blended with the base image. It is expressed as a percentage, with a default value of 15. This parameter allows you to adjust how much of the noise effect is visible in the final image, with higher values making the noise more prominent.

mask

The mask parameter is an optional input that allows for selective application of the noise effect. When provided, the mask defines areas of the image where the noise should be applied, leaving other areas unaffected. This parameter is useful for targeting specific regions of the image, enhancing creative control over the blending process.

Noise Plus Blend Output Parameters:

blended_tensor

The blended_tensor is the primary output of the node, representing the final image after the noise has been blended with the base image. This tensor contains the enhanced image with the applied noise effect, ready for further processing or display. It reflects the combined result of the base image, noise, and any applied mask.

noise_tensor

The noise_tensor is an additional output that provides the generated noise as a separate tensor. This output is useful for analysis or for use in other processes where the noise itself is needed independently of the blended image. It allows for further manipulation or examination of the noise characteristics.

Noise Plus Blend Usage Tips:

• Experiment with different noise_scale values to achieve the desired level of texture in your images. Start with the default and adjust incrementally to see how it affects the final result.
• Use the mask parameter to apply noise selectively, which can be particularly effective for highlighting specific areas or creating contrast within the image.
• Adjust the blend_opacity to control the visibility of the noise effect. Lower opacity values can create subtle enhancements, while higher values can dramatically alter the image's appearance.

Noise Plus Blend Common Errors and Solutions:

ValueError: Unsupported blend mode

• Explanation: This error occurs if an invalid blend mode is specified within the node's internal operations.
• Solution: Ensure that the blend mode used is supported by the node, specifically the "soft light" mode, which is the intended method for blending in this node.

Image size mismatch

• Explanation: This error can happen if the noise image and base image sizes do not match, leading to issues during the blending process.
• Solution: The node automatically resizes the noise image to match the base image size, so ensure that the input image is correctly formatted and that no manual resizing is interfering with the process.

Mask application error

• Explanation: This error may arise if the mask provided is not valid or does not contain more than a single value, which is necessary for effective masking.
• Solution: Verify that the mask is correctly formatted and contains a range of values to ensure proper application. If issues persist, try using a different mask or adjusting its properties.