ComfyUI  >  Nodes  >  AnimateDiff Evolved >  Sigma Schedule Interpolated Mean 🎭🅐🅓

ComfyUI Node: Sigma Schedule Interpolated Mean 🎭🅐🅓

Class Name

ADE_SigmaScheduleWeightedAverageInterp

Category
Animate Diff 🎭🅐🅓/sample settings/sigma schedule
Author
Kosinkadink (Account age: 3712 days)
Extension
AnimateDiff Evolved
Latest Updated
6/17/2024
Github Stars
2.2K

How to Install AnimateDiff Evolved

Install this extension via the ComfyUI Manager by searching for  AnimateDiff Evolved
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter AnimateDiff Evolved in the search bar
After installation, click the  Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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Sigma Schedule Interpolated Mean 🎭🅐🅓 Description

Create new sigma schedule by interpolating between two existing schedules for smooth blending in AI art projects.

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.

Sigma Schedule Interpolated Mean 🎭🅐🅓 Related Nodes

Go back to the extension to check out more related nodes.
AnimateDiff Evolved
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