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Create custom configuration for AnimateDiff process, enabling granular control over animation settings for personalized artistic effects.
The ADE_CustomCFG node is designed to create a custom configuration for the AnimateDiff process, allowing you to fine-tune the control over the generated animations. This node is particularly useful for AI artists who want to have more granular control over the configuration settings, enabling them to achieve specific artistic effects and styles. By using this node, you can define custom keyframes and group them into a cohesive configuration that can be applied to your animation workflow. This flexibility allows for a more personalized and precise animation generation process, enhancing the overall creative output.
The cfg_multival
parameter is a versatile input that can accept either a float value or a tensor. This parameter is crucial as it defines the configuration value that will be used to create the custom keyframe. The value of cfg_multival
directly impacts the behavior and characteristics of the generated animation, allowing you to adjust the intensity and style of the effects applied. There are no specific minimum or maximum values provided, but it is essential to choose a value that aligns with your artistic goals and the desired outcome of the animation.
The CUSTOM_CFG
output parameter represents the custom configuration generated by the node. This output is a configuration object that encapsulates the keyframes and their associated settings, which can be applied to the animation process. The CUSTOM_CFG
output is essential for integrating the custom settings into your animation workflow, ensuring that the specified configurations are utilized during the generation of the animation. This output allows for a seamless application of personalized settings, enhancing the creative control and precision of the animation process.
cfg_multival
values to see how they affect the animation. Small changes can lead to significantly different artistic effects.cfg_multival
parameter must be either a float or a tensor. If an invalid type is provided, the node will not function correctly.cfg_multival
is either a float value or a tensor. Double-check the data type before connecting it to the node.cfg_multival
parameter is required for the node to generate a custom configuration. If it is missing, the node cannot proceed.cfg_multival
input to the node. This can be a float value or a tensor that defines the configuration settings.CUSTOM_CFG
output does not meet your expectations, it may be due to the chosen cfg_multival
value.cfg_multival
value and observe the changes in the output. Iteratively refine the input until the desired configuration is achieved.© Copyright 2024 RunComfy. All Rights Reserved.