Implementation of NÜWA, state of the art attention network for text to video synthesis, in Pytorch
Create videos from text descriptions using an advanced attention network.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeImplementation of NÜWA, state of the art attention network for text to video synthesis, in Pytorch
nuwa-pytorch has 548 stars on GitHub. It has been forked 55 times. nuwa-pytorch is written mainly in Python. It has been in active development since 2021. nuwa-pytorch is available under the MIT license. Its main topics are artificial-intelligence, attention-mechanism, deep-learning, text-to-audio.
Implementation of NÜWA, state of the art attention network for text to video synthesis, in Pytorch
nuwa-pytorch is an open-source project. It is released under the MIT license.
Yes. nuwa-pytorch is free and open source — you can use, modify and self-host it.
nuwa-pytorch is available under the MIT license.
nuwa-pytorch is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/lucidrains-nuwa-pytorch.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.