ComfyUI Node: Sigmas Cleanup

Sigmas Cleanup:

The Sigmas Cleanup node is designed to refine a sequence of sigma values by removing those that fall below a specified minimum threshold and eliminating consecutive duplicate values. This process is essential for ensuring that the sigma schedule used in various AI art generation tasks is both efficient and effective. By filtering out unnecessary or redundant sigma values, the node helps maintain a cleaner and more optimized sequence, which can lead to improved performance in tasks that rely on sigma schedules, such as noise reduction or image denoising. The node's primary goal is to streamline the sigma sequence, ensuring that only the most relevant values are retained, thereby enhancing the overall quality and efficiency of the processing pipeline.

Sigmas Cleanup Input Parameters:

sigmas

This parameter represents the sequence of sigma values that you want to clean up. It is a required input and must be provided for the node to function. The sigmas are typically used in processes like noise reduction or image denoising, where they play a crucial role in determining the level of detail and smoothness in the output. By providing this sequence, you enable the node to perform its cleanup operations, which include filtering out values below a certain threshold and removing consecutive duplicates.

sigmin

The sigmin parameter sets the minimum threshold for sigma values in the sequence. Any sigma value below this threshold will be removed from the sequence. This parameter is crucial for ensuring that only significant sigma values are retained, which can help improve the efficiency and effectiveness of the sigma schedule. The default value is 0.0291675, with a minimum of 0 and a maximum of 1000. The step size for adjusting this value is 0.01, allowing for precise control over the threshold. By setting an appropriate sigmin, you can tailor the cleanup process to suit your specific needs and ensure that the resulting sigma sequence is optimized for your task.

Sigmas Cleanup Output Parameters:

SIGMAS

The output of the Sigmas Cleanup node is a cleaned-up sequence of sigma values. This sequence has been filtered to remove any values below the specified sigmin threshold and to eliminate consecutive duplicates. The resulting sequence is more streamlined and efficient, making it better suited for tasks that rely on sigma schedules, such as noise reduction or image denoising. The inclusion of a zero at the end of the sequence ensures compatibility with processes that may require a termination value. This cleaned-up sequence can lead to improved performance and results in your AI art generation tasks.

Sigmas Cleanup Usage Tips:

• Adjust the sigmin parameter to filter out insignificant sigma values that may not contribute meaningfully to your task. This can help optimize the performance of the node by focusing on the most relevant values.
• Use the Sigmas Cleanup node in conjunction with other sigma processing nodes to create a comprehensive and efficient sigma schedule tailored to your specific needs.

Sigmas Cleanup Common Errors and Solutions:

"Input tensor is not provided"

• Explanation: This error occurs when the required sigmas input is not provided to the node.
• Solution: Ensure that you have connected a valid sequence of sigma values to the sigmas input before executing the node.

"Invalid sigmin value"

• Explanation: This error may arise if the sigmin value is set outside the allowed range (0 to 1000).
• Solution: Check the sigmin parameter and ensure it is within the specified range. Adjust the value as needed to fall within the valid limits.