Batch production solutions
The realization of industrial production based on SVLS requires the construction of automated processes:
- script automation: Writing Shell/Python batch scripts, core examples:
for audio in inputs/*.wav; do python inference.py --driven_audio $audio --source_video template.mp4 --enhancer lip --use_DAIN --output_dir batch_results/${audio%.*} done - Template Video Optimization::
- 4K template video for making neutral expressions
- utilization
--stillMode maintains facial stability - Pre-stored multiple pre-trained model checkpoints
- Quality control system::
- Integration of OpenCV for automatic lip synchronization detection
- Evaluating Audio-Video Alignment Using the PESQ Algorithm
- Setting up an automatic retry mechanism to handle failure cases
It is recommended to use Docker containerized deployments via thedocker-composeManage multiple instances for parallel processing. For ultra-high volume tasks, use AWS Batch service with a cluster of EC2 G4 instances.
This answer comes from the articleSVLS: SadTalker Enhanced to Generate Digital People Using Portrait VideoThe
May not be reproduced without permission:AI productivity tools " How to achieve batch generation of commercial-grade digital human videos?
