Latent Sync

Introduction

LatentSync is a repository that includes pretrained models such as U-Net and SyncNet, alongside additional checkpoints necessary for inference and training, including whisper checkpoints and auxiliary tools for tasks like face detection and syncnet confidence scoring.

Architecture

LatentSync employs a combination of U-Net and SyncNet architectures, supplemented by whisper and auxiliary checkpoints to facilitate comprehensive functionality in tasks such as face detection and confidence scoring.

Training

The repository includes all necessary components for training, ensuring that users can effectively leverage the tools for both development and deployment of LatentSync-based models.

Guide: Running Locally

1. Clone the Repository: Begin by cloning the repository from Hugging Face to your local machine.
2. Install Dependencies: Use a package manager like pip to install all necessary dependencies as specified in the repository's requirements file.
3. Download Checkpoints: Ensure you have all the required checkpoints downloaded to your local environment.
4. Run the Model: Execute the inference or training scripts provided within the repository.

For optimal performance, especially during training, consider using cloud GPU services such as AWS EC2, Google Cloud Platform, or Azure.

License

LatentSync is distributed under the OpenRAIL license, which governs the use and distribution of the model and its components.