A link-wide optimization strategy to improve animation smoothness
For the lagging problem of X-Dyna-generated animation, it needs to be optimized in three dimensions: parameter tuning, hardware acceleration and intermediate frame compensation:
- Key parameter adjustments:
- Increase the value of the -num_mix parameter (8-12 recommended) to improve motion continuity.
- Set -ddim_steps to balance mass and speed in the range of 50-100
- Enable -use_lcm_lora to accelerate the inference process
- Hardware accelerated configuration:
- Installation of CUDA 11.7+ and cuDNN 8.5+
- Set torch.backends.cudnn.benchmark=True
- Using FP16 mixed precision mode
- Post-processing enhancements:
- Supplementing intermediate frames with DAIN or RIFE interpolation models
- Optical flow consistency check via FlowNet2
- Applying DeOldify for Time Domain Noise Reduction
For professional-grade needs, it is recommended that X-Dyna be deployed on the Omniverse platform to utilize RTX graphics cards' DLSS 3 frame generation technology for real-time rendering.
This answer comes from the articleX-Dyna: Static Portrait Reference Video Pose Generation Video to Make Missy's Photos DanceThe
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