Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
Train a generative model to create images without needing to write any code, using a simple command line.
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 anytimeSimplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
stylegan2-pytorch has 3.8k stars on GitHub. It has been forked 583 times. stylegan2-pytorch is written mainly in Python. It has been in active development since 2020. stylegan2-pytorch is available under the MIT license. Its main topics are artificial-intelligence, generative-adversarial-network, generative-model, machine-learning.
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
stylegan2-pytorch is an open-source project. It is released under the MIT license.
Yes. stylegan2-pytorch is free and open source — you can use, modify and self-host it.
stylegan2-pytorch is available under the MIT license.
stylegan2-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-stylegan2-pytorch.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.