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LatentSync version 1.5 has reduced the training video memory requirement to 20GB for the average developer:
- Hardware Options:An RTX 3090-class graphics card will suffice.
- Configuration options:Select the stage2_efficient.yaml configuration file for training
- Data processing:Cleaning high-quality training data with built-in tools
- Parameter optimization:Adjust batch size and other parameters to balance performance and quality
In addition, the project provides pre-trained models that can be used directly for inference, reducing training requirements.
This answer comes from the articleLatentSync: an open source tool for generating lip-synchronized video directly from audioThe
May not be reproduced without permission:AI productivity tools " How to achieve low-cost training of LatentSync models?
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