Hands-on methods to improve motion control accuracy
For the problem of rough motion control of existing video diffusion models, precise control can be realized by the following methods:
- Fine shear control: In cut_and_drag_gui.py, enable the "high precision picking" mode, which supports pixel-level selection definition, especially suitable for dealing with small object movement.
- keyframe multiplier technology: insert 3-5 transition frames between the original base keyframes, which can be achieved by modifying the frame_interpolation parameter in the script
- Motion constraints: Add motion descriptors (e.g. "slow panning left" or "gentle bouncing") to the prompt, and the system translates these semantics into physical constraints.
- multistage noise mixing: Combine different types of noise (Berlin noise + Gaussian noise) in make_warped_noise.py stage, add -noise_mix parameter to the command
Advanced Tip: For professional users, the weights of the motion_attention layer in the model can be modified directly to fine tune the response strength of the motion-sensitive regions.
This answer comes from the articleGo-with-the-Flow: Controls the movement of objects in the video, adding or subtracting any moving objects in the video.The
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