ComfyUI Node: Un-Jitter Image

Un-Jitter Image:

The UnJitterImage node is designed to reverse the effects of jitter applied to an image, restoring it to its original state. This node is particularly useful when you have applied a jitter effect to an image using the JitterImage node and wish to revert the image back to its unaltered form. By effectively removing the jitter, this node helps in maintaining the integrity and clarity of the image, ensuring that any distortions introduced by jittering are corrected. This can be especially beneficial in workflows where precise image manipulation and restoration are required.

Un-Jitter Image Input Parameters:

images

This parameter expects an input of type IMAGE. It represents the batch of images that have been previously jittered and need to be restored to their original state. The images should be provided in a format compatible with the node's processing capabilities.

operation

This parameter allows you to choose the method of un-jittering the images. It accepts two options: mean and median. The mean option calculates the average of the jittered images to produce a single restored image, while the median option calculates the median value of the jittered images to achieve the same goal. The choice of operation can affect the final output, with mean providing a smoother result and median potentially preserving more details.

Un-Jitter Image Output Parameters:

IMAGE

The output of this node is of type IMAGE. It represents the batch of images that have been processed to remove the jitter effect. The resulting images should closely resemble the original, un-jittered images, with distortions corrected based on the chosen operation (mean or median).

Un-Jitter Image Usage Tips:

• To achieve a smoother restoration of jittered images, use the mean operation. This is particularly useful when dealing with images that have subtle jitter effects.
• If you need to preserve more details and reduce the impact of outliers, opt for the median operation. This can be beneficial for images with more pronounced jitter effects.

Un-Jitter Image Common Errors and Solutions:

Input images are not in the correct format

• Explanation: This error occurs when the input images are not provided in a compatible format.
• Solution: Ensure that the input images are in the correct format expected by the node, typically a tensor format compatible with PyTorch.

Invalid operation selected

• Explanation: This error occurs when an invalid operation is chosen for the un-jittering process.
• Solution: Verify that the operation parameter is set to either mean or median. Any other value will result in this error.

Batch size mismatch

• Explanation: This error occurs when the batch size of the input images does not match the expected size for processing.
• Solution: Ensure that the batch size of the input images is correctly set and matches the expected size for the un-jittering process.