Implementation of Parti, Google's pure attention-based text-to-image neural network, in Pytorch
Build and train a text-to-image AI model using Google's attention-based technology.
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 Parti, Google's pure attention-based text-to-image neural network, in Pytorch
parti-pytorch has 538 stars on GitHub. It has been forked 25 times. parti-pytorch is written mainly in Python. It has been in active development since 2022. parti-pytorch is available under the MIT license. Its main topics are artificial-intelligence, attention-mechanism, deep-learning, text-to-image.
Implementation of Parti, Google's pure attention-based text-to-image neural network, in Pytorch
parti-pytorch is an open-source project. It is released under the MIT license.
Yes. parti-pytorch is free and open source — you can use, modify and self-host it.
parti-pytorch is available under the MIT license.
parti-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-parti-pytorch.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.