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Frameworks that automate the execution of model training loops, including batch processing and periodic model saving.
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Faceswap is a comprehensive framework for automated media manipulation and neural face synthesis. It provides a modular pipeline that manages the entire lifecycle of facial feature extraction, deep learning model training, and image conversion. By coordinating complex computer vision workflows, the system enables users
Manages training loops automatically, including batch processing, model checkpointing, and the generation of progress previews.