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Facilitates integration of motion-based LoRA models for dynamic animation effects in AI projects.
The MotionLoraLoader
node is designed to facilitate the integration of motion-based LoRA (Low-Rank Adaptation) models into your AI-driven animation projects. This node allows you to apply various motion effects, such as panning, tilting, and zooming, to your animations by loading pre-trained LoRA models. By leveraging these models, you can enhance the dynamic aspects of your animations, making them more engaging and visually appealing. The node simplifies the process of downloading and applying these motion models, ensuring that you can focus on the creative aspects of your work without worrying about the technical complexities of model management.
The motion_type
parameter specifies the type of motion effect you want to apply to your animation. You can choose from a variety of options, including "PanLeft", "PanRight", "RollingAnticlockwise", "RollingClockwise", "TiltDown", "TiltUp", "ZoomIn", and "ZoomOut". Each option corresponds to a specific motion effect that will be applied to your animation, allowing you to create dynamic and engaging visual content.
The motion_wight
parameter controls the intensity or weight of the motion effect applied by the LoRA model. This is a floating-point value that ranges from 0.0 to 1.0, with a default value of 0.8. The parameter is adjustable in increments of 0.01, allowing for fine-tuned control over the motion effect. A higher value will result in a more pronounced motion effect, while a lower value will produce a subtler effect.
The MOTIONLORA
output parameter is a tuple containing the path to the downloaded LoRA model and its associated weight. This output is used to apply the specified motion effect to your animation. The path points to the location of the LoRA model file, and the weight indicates the intensity of the motion effect. This output is essential for integrating the motion effect into your animation pipeline.
motion_wight
parameter closer to 1.0.motion_type
options to find the best motion effect that complements your animation style.MOTIONLORA
output for seamless integration of motion effects.motion_type
parameter is correctly specified and that the model file exists in the expected directory. If the file is missing, the node should automatically download it from the repository.motion_wight
parameter is set to a value outside the allowed range (0.0 to 1.0).motion_wight
parameter to a value within the valid range, ensuring it is between 0.0 and 1.0.© Copyright 2024 RunComfy. All Rights Reserved.