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ComfyUI Node: Evaluate Schedule At T (Batch)

Class Name

KfGetScheduleConditionSlice

Category
keyframed/schedule
Author
dmarx (Account age: 4505 days)
Extension
ComfyUI-Keyframed
Latest Updated
5/22/2024
Github Stars
0.1K

How to Install ComfyUI-Keyframed

Install this extension via the ComfyUI Manager by searching for  ComfyUI-Keyframed
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI-Keyframed 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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Evaluate Schedule At T (Batch) Description

Extract conditioning states from schedule for AI art transitions/animations efficiently.

Evaluate Schedule At T (Batch):

The KfGetScheduleConditionSlice node is designed to extract a series of conditioning states from a given schedule over a specified range of time. This node is particularly useful for AI artists who need to evaluate and interpolate conditioning data at multiple time points, enabling the creation of smooth transitions and animations in their projects. By leveraging this node, you can efficiently generate a batch of conditioning states, which can be used to control various aspects of your AI-generated art, such as style, content, or other parameters that change over time. The node simplifies the process of slicing the schedule into manageable segments, ensuring that the conditioning data is accurately evaluated and interpolated at each specified time point.

Evaluate Schedule At T (Batch) Input Parameters:

schedule

The schedule parameter represents the input schedule from which the conditioning states will be extracted. This schedule contains the predefined conditioning data that changes over time. The schedule is essential for determining the conditioning states at various time points, and it must be provided for the node to function correctly.

start

The start parameter specifies the starting time point for the slice of the schedule. It is a floating-point value with a default of 0. This parameter determines the initial time from which the conditioning states will be evaluated. Adjusting the start value allows you to control the beginning of the time range for the slice.

step

The step parameter defines the interval between consecutive time points within the specified range. It is a floating-point value with a default of 1. This parameter controls the spacing between the time points at which the conditioning states are evaluated. A smaller step value results in more closely spaced time points, while a larger step value increases the interval between them.

n

The n parameter indicates the number of time points to be evaluated within the specified range. It is an integer value with a default of 24. This parameter determines how many conditioning states will be generated from the schedule. Increasing the n value results in more conditioning states being extracted, providing a finer granularity of data.

Evaluate Schedule At T (Batch) Output Parameters:

CONDITIONING

The CONDITIONING output parameter represents the batch of conditioning states extracted from the schedule over the specified range of time. This output is a list of conditioning states, each corresponding to a specific time point within the range. The conditioning states include both tokenized and pooled outputs, which can be used to control various aspects of AI-generated art. The CONDITIONING output is essential for creating smooth transitions and animations by providing a series of conditioning data points that change over time.

Evaluate Schedule At T (Batch) Usage Tips:

  • To create smooth transitions in your AI-generated art, use a smaller step value to generate more closely spaced conditioning states.
  • Adjust the start and n parameters to control the time range and the number of conditioning states extracted from the schedule, ensuring that you capture the desired segment of the schedule.
  • Use the CONDITIONING output to control various aspects of your AI-generated art, such as style or content, by applying the conditioning states at the corresponding time points.

Evaluate Schedule At T (Batch) Common Errors and Solutions:

"schedule is not defined"

  • Explanation: This error occurs when the schedule parameter is not provided or is incorrectly specified.
  • Solution: Ensure that you provide a valid schedule as the input to the node. Check that the schedule is correctly defined and passed to the node.

"Invalid value for start"

  • Explanation: This error occurs when the start parameter is set to an invalid value, such as a non-numeric value.
  • Solution: Verify that the start parameter is set to a valid floating-point number. Adjust the value to ensure it is within the acceptable range.

"Invalid value for step"

  • Explanation: This error occurs when the step parameter is set to an invalid value, such as a non-numeric value.
  • Solution: Ensure that the step parameter is set to a valid floating-point number. Adjust the value to ensure it is within the acceptable range.

"Invalid value for n"

  • Explanation: This error occurs when the n parameter is set to an invalid value, such as a non-integer value.
  • Solution: Verify that the n parameter is set to a valid integer. Adjust the value to ensure it is within the acceptable range.

Evaluate Schedule At T (Batch) Related Nodes

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