ComfyUI Node: Smart Step (mtb)

Smart Step (mtb):

The Smart Step (mtb) node is designed to provide precise control over the start and stop points of the KAdvancedSampler in percentage terms. This utility is particularly useful for AI artists who need to fine-tune the sampling process in their workflows. By allowing you to specify the step count and the start and end percentages, the node ensures that the sampling process can be customized to meet specific artistic requirements. This level of control can help in achieving more refined and targeted results, making the Smart Step (mtb) node an essential tool for those looking to optimize their sampling techniques.

Smart Step (mtb) Input Parameters:

step

The step parameter defines the total number of steps to be used in the sampling process. This integer value determines the granularity of the sampling, with higher values providing more detailed results. The minimum value for this parameter is 1, the maximum is 10000, and the default is set to 20. Adjusting this parameter allows you to control the overall resolution of the sampling process.

start_percent

The start_percent parameter specifies the starting point of the sampling process as a percentage of the total steps. This integer value ranges from 0 to 100, with a default value of 0. By setting this parameter, you can control when the sampling should begin, allowing for more precise targeting of specific portions of the data.

end_percent

The end_percent parameter defines the ending point of the sampling process as a percentage of the total steps. Similar to start_percent, this integer value ranges from 0 to 100, with a default value of 0. This parameter allows you to specify when the sampling should stop, providing additional control over the duration and focus of the sampling process.

Smart Step (mtb) Output Parameters:

step

The step output parameter returns the total number of steps that were input. This value is crucial for understanding the overall scope of the sampling process and for verifying that the correct number of steps was used.

start

The start output parameter provides the calculated starting step based on the start_percent input. This integer value indicates the exact step at which the sampling process begins, allowing you to verify and adjust the starting point as needed.

end

The end output parameter returns the calculated ending step based on the end_percent input. This integer value indicates the exact step at which the sampling process ends, providing clarity on the duration and extent of the sampling.

Smart Step (mtb) Usage Tips:

• To achieve more detailed sampling, increase the step parameter to a higher value, ensuring finer granularity in the results.
• Use the start_percent and end_percent parameters to focus the sampling process on specific portions of your data, which can be particularly useful for targeting areas of interest.
• Experiment with different combinations of start_percent and end_percent to find the optimal sampling range for your specific artistic needs.

Smart Step (mtb) Common Errors and Solutions:

"Invalid step value"

• Explanation: The step parameter is set to a value outside the allowed range (1-10000).
• Solution: Ensure that the step parameter is set to an integer value between 1 and 10000.

"Invalid start_percent or end_percent value"

• Explanation: The start_percent or end_percent parameter is set to a value outside the allowed range (0-100).
• Solution: Verify that both start_percent and end_percent are set to integer values between 0 and 100.

"Start percent greater than end percent"

• Explanation: The start_percent value is greater than the end_percent value, causing an invalid sampling range.
• Solution: Ensure that the start_percent value is less than or equal to the end_percent value to define a valid sampling range.