ComfyUI Node: Empty Motion Data

Empty Motion Data:

The EmptyMotionData node is designed to generate a placeholder motion data structure, which can be particularly useful for initializing or testing motion-based AI models. This node creates a motion data object filled with zeros, simulating a sequence of motion frames. It is beneficial for scenarios where you need a consistent and controlled input to test the behavior of your models or pipelines without relying on actual motion data. By providing a standardized motion data format, it ensures compatibility with various motion processing and analysis tools, facilitating smoother development and debugging processes.

Empty Motion Data Input Parameters:

frames

The frames parameter specifies the number of motion frames to be generated. This integer value determines the length of the motion sequence, directly impacting the size of the generated motion data. The minimum value for this parameter is 1, and the maximum value is 196, with a default value set to 196. Adjusting this parameter allows you to control the duration of the simulated motion, which can be useful for testing different scenarios or model behaviors.

Empty Motion Data Output Parameters:

MOTION_DATA

The MOTION_DATA output is a dictionary containing three key elements: motion, motion_mask, and motion_length. The motion key holds a tensor filled with zeros, representing the simulated motion frames. The motion_mask is a tensor filled with ones, indicating the presence of valid motion data across all frames. The motion_length is a tensor that specifies the total number of frames in the motion sequence. This structured output ensures that the generated motion data is compatible with various motion processing and analysis tools, providing a standardized format for further use.

Empty Motion Data Usage Tips:

• Use the frames parameter to control the length of the generated motion sequence, allowing you to test different durations and their impact on your models.
• Utilize the EmptyMotionData node to initialize your motion-based AI models with a consistent and controlled input, facilitating smoother development and debugging processes.

Empty Motion Data Common Errors and Solutions:

Invalid frame value

• Explanation: The frames parameter value is outside the allowed range (1 to 196).
• Solution: Ensure that the frames parameter is set to a value between 1 and 196.

Tensor shape mismatch

• Explanation: The generated motion data tensor shape does not match the expected input shape for your model.
• Solution: Verify the expected input shape for your model and adjust the frames parameter accordingly to match the required dimensions.