ComfyUI Node: Sigma Schedule Interpolated Mean 🎭🅐🅓

Sigma Schedule Interpolated Mean 🎭🅐🅓:

The ADE_SigmaScheduleWeightedAverageInterp node is designed to create a new sigma schedule by interpolating between two existing sigma schedules over a specified range of weights. This node is particularly useful for AI artists who want to blend different sigma schedules to achieve a desired effect in their animations or image generation processes. By adjusting the weights and interpolation method, you can fine-tune the transition between the two schedules, allowing for smooth and customizable blending. This node ensures compatibility between the schedules and provides a seamless way to combine their characteristics, enhancing the flexibility and creativity in your projects.

Sigma Schedule Interpolated Mean 🎭🅐🅓 Input Parameters:

schedule_A

This parameter represents the first sigma schedule to be used in the interpolation process. It is a required input and should be of type SIGMA_SCHEDULE. The sigma schedule defines the sequence of sigma values used during the sampling process.

schedule_B

This parameter represents the second sigma schedule to be used in the interpolation process. It is a required input and should be of type SIGMA_SCHEDULE. Like schedule_A, it defines a sequence of sigma values for the sampling process.

weight_A_Start

This parameter specifies the starting weight for schedule_A in the interpolation process. It is a floating-point value with a default of 0.5, a minimum of 0.0, and a maximum of 1.0, with a step size of 0.001. This weight determines the influence of schedule_A at the beginning of the interpolation.

weight_A_End

This parameter specifies the ending weight for schedule_A in the interpolation process. It is a floating-point value with a default of 0.5, a minimum of 0.0, and a maximum of 1.0, with a step size of 0.001. This weight determines the influence of schedule_A at the end of the interpolation.

interpolation

This parameter defines the method of interpolation to be used between the weights. It is a required input and should be selected from the available interpolation methods provided by InterpolationMethod._LIST. The choice of interpolation method affects how the weights transition from the start to the end values.

Sigma Schedule Interpolated Mean 🎭🅐🅓 Output Parameters:

SIGMA_SCHEDULE

The output of this node is a new sigma schedule that results from the weighted interpolation between the two input sigma schedules. This combined sigma schedule can be used in subsequent sampling processes, providing a blend of the characteristics of the original schedules.

Sigma Schedule Interpolated Mean 🎭🅐🅓 Usage Tips:

• Experiment with different values for weight_A_Start and weight_A_End to achieve the desired blending effect between the two sigma schedules.
• Choose an appropriate interpolation method to control the smoothness and nature of the transition between the weights.
• Ensure that the input sigma schedules (schedule_A and schedule_B) are compatible in terms of the number of sigma values to avoid errors.

Sigma Schedule Interpolated 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 input sigma schedules (schedule_A and schedule_B) have different numbers of sigma values.
• Solution: Ensure that both input sigma schedules have the same number of sigma values before using them in the interpolation process.

Invalid interpolation method selected

• Explanation: This error occurs when an invalid or unsupported interpolation method is selected.
• Solution: Choose a valid interpolation method from the list provided by InterpolationMethod._LIST.