lucidrains/phenaki-pytorch
A PyTorch implementation of a text-to-video generation model capable of producing videos up to 2 minutes long.
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Implementation of Phenaki Video in PyTorch, a text-guided video generation system that uses Mask GIT architecture with transformer encoders and token critic techniques for improved generation quality. The model encodes visual data into discrete tokens using a C-ViViT architecture and generates videos from textual prompts.
Frequently asked
- What is lucidrains/phenaki-pytorch?
- A PyTorch implementation of a text-to-video generation model capable of producing videos up to 2 minutes long.
- Is phenaki-pytorch open source?
- Yes — lucidrains/phenaki-pytorch is open source, released under the MIT license.
- What language is phenaki-pytorch written in?
- lucidrains/phenaki-pytorch is primarily written in Python.
- How popular is phenaki-pytorch?
- lucidrains/phenaki-pytorch has 790 stars on GitHub.
- Where can I find phenaki-pytorch?
- lucidrains/phenaki-pytorch is on GitHub at https://github.com/lucidrains/phenaki-pytorch.