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ComfyUI Node: Sigma Schedule Interpolated Mean šŸŽ­šŸ…šŸ…“

Class Name

ADE_SigmaScheduleWeightedAverageInterp

Category
Animate Diff šŸŽ­šŸ…šŸ…“/sample settings/sigma schedule
Author
Kosinkadink (Account age: 3712 days)
Extension
AnimateDiff Evolved
Latest Updated
6/17/2024
Github Stars
2.2K

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Install this extension via the ComfyUI Manager by searching for Ā 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 Ā 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 šŸŽ­šŸ…šŸ…“ Description

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

Sigma Schedule Interpolated Mean šŸŽ­šŸ…šŸ…“:

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 šŸŽ­šŸ…šŸ…“ 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 šŸŽ­šŸ…šŸ…“ 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 šŸŽ­šŸ…šŸ…“ 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 šŸŽ­šŸ…šŸ…“ 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 šŸŽ­šŸ…šŸ…“ Related Nodes

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