lucidrains/nuwa-pytorch
PyTorch implementation of NÜWA, a transformer-based attention network for text-to-video generation.
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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.
Frequently asked
- What is lucidrains/nuwa-pytorch?
- PyTorch implementation of NÜWA, a transformer-based attention network for text-to-video generation.
- Is nuwa-pytorch open source?
- Yes — lucidrains/nuwa-pytorch is open source, released under the MIT license.
- What language is nuwa-pytorch written in?
- lucidrains/nuwa-pytorch is primarily written in Python.
- How popular is nuwa-pytorch?
- lucidrains/nuwa-pytorch has 548 stars on GitHub.
- Where can I find nuwa-pytorch?
- lucidrains/nuwa-pytorch is on GitHub at https://github.com/lucidrains/nuwa-pytorch.