ComfyUI Node: Sigma Schedule Weighted Mean 🎭🅐🅓

Sigma Schedule Weighted Mean 🎭🅐🅓:

The ADE_SigmaScheduleWeightedAverage node is designed to create a new sigma schedule by blending two existing sigma schedules based on a specified weight. This node is particularly useful in scenarios where you want to combine the characteristics of two different sigma schedules to achieve a desired effect in your AI-generated animations. By adjusting the weight parameter, you can control the influence of each schedule in the final output, allowing for fine-tuned customization of the sigma values used during the sampling process. This capability is essential for artists looking to experiment with different sigma schedules to achieve unique visual styles or effects in their animations.

Sigma Schedule Weighted Mean 🎭🅐🅓 Input Parameters:

schedule_A

This parameter represents the first sigma schedule to be used in the weighted average calculation. It is a required input and must be of the type SIGMA_SCHEDULE. The sigma schedule contains the sigma values that will be combined with those from schedule_B based on the specified weight.

schedule_B

This parameter represents the second sigma schedule to be used in the weighted average calculation. Like schedule_A, it is a required input and must be of the type SIGMA_SCHEDULE. The sigma values from this schedule will be combined with those from schedule_A based on the specified weight.

weight_A

This parameter determines the weight of schedule_A in the weighted average calculation. It is a floating-point value with a default of 0.5, meaning that by default, both schedules will have equal influence. The value can range from 0.0 to 1.0, with a step size of 0.001. A weight of 1.0 means that only schedule_A will influence the final sigma schedule, while a weight of 0.0 means that only schedule_B will influence it.

Sigma Schedule Weighted Mean 🎭🅐🅓 Output Parameters:

SIGMA_SCHEDULE

The output of this node is a new sigma schedule that results from the weighted average of schedule_A and schedule_B. This combined sigma schedule can then be used in subsequent stages of your animation pipeline, providing a customized set of sigma values that reflect the specified blend of the two input schedules.

Sigma Schedule Weighted Mean 🎭🅐🅓 Usage Tips:

• Experiment with different weight values to see how the influence of each sigma schedule affects the final output. This can help you achieve the desired visual effect in your animations.
• Ensure that the sigma schedules you are combining are compatible in terms of the number of sigma values they contain. This will prevent errors and ensure a smooth blending process.
• Use this node in conjunction with other sigma schedule manipulation nodes to create complex and unique sigma schedules tailored to your specific needs.

Sigma Schedule Weighted Mean 🎭🅐🅓 Common Errors and Solutions:

Weighted Average cannot be taken of Sigma Schedules that do not have the same amount of sigmas

• Explanation: This error occurs when the two sigma schedules being combined have a different number of sigma values.
• Solution: Ensure that both schedule_A and schedule_B have the same number of sigma values before attempting to combine them. You may need to adjust or preprocess the schedules to make them compatible.

Invalid weight value

• Explanation: This error occurs when the weight value provided is outside the acceptable range of 0.0 to 1.0.
• Solution: Adjust the weight_A parameter to a value within the range of 0.0 to 1.0. The default value is 0.5, which provides an equal blend of both schedules.