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Manage and manipulate weight schedules for AI art projects, extend or modify schedules for parameter control over time or frames.
The WeightScheduleExtend
node is designed to help you manage and manipulate weight schedules in your AI art projects. This node allows you to extend or modify the weight schedules, which are crucial for controlling various parameters over time or frames. By using this node, you can ensure that your weight schedules are accurately scaled and adjusted to fit different frame counts, providing you with greater flexibility and control over your creative process. This is particularly useful when working with animations or sequences where the timing and weight of certain effects need to be precisely managed.
This parameter takes a string that represents the initial weight schedule. The string should be formatted as a series of frame numbers and their corresponding weights, for example, 0:(0.0),\n7:(1.0),\n15:(0.0)\n
. This input is crucial as it defines the original schedule that you want to extend or modify. The default value is 0:(0.0),\n7:(1.0),\n15:(0.0)\n
.
This parameter specifies the original number of frames in the weight schedule. It is an integer value that helps the node understand the scale of the initial schedule. The minimum value is 1, the maximum value is 4096, and the default value is 1. This parameter is essential for calculating the scaling factor needed to extend the schedule.
This parameter defines the new number of frames to which you want to extend the weight schedule. Similar to old_frame_count
, it is an integer value with a minimum of 1, a maximum of 4096, and a default value of 1. This parameter allows you to scale the weight schedule to fit a different frame count, providing flexibility in your project.
The output of this node is a string that represents the extended or modified weight schedule. This string will be formatted similarly to the input string but adjusted to fit the new frame count specified. The output is crucial for applying the new weight schedule to your project, ensuring that the weights are correctly scaled and timed.
input_str
is correctly formatted to avoid errors in processing the weight schedule.old_frame_count
and new_frame_count
to accurately scale your weight schedule, especially when working with animations that require precise timing.input_str
is not correctly formatted.input_str
follows the required format, such as 0:(0.0),\n7:(1.0),\n15:(0.0)\n
.old_frame_count
or new_frame_count
is outside the allowed range of 1 to 4096. - Solution: Adjust the frame counts to be within the valid range of 1 to 4096.old_frame_count
and new_frame_count
to ensure they are correct and logical for your project.© Copyright 2024 RunComfy. All Rights Reserved.