Implements the NÜWA model for text-to-video synthesis using a transformer-based attention architecture and VQGanVAE for encoding. The project extends to video and audio generation with a dual decoder approach, leveraging hierarchical causal transformers and quantized codebooks for efficient generative capabilities.