Home Projects lightweight-gan
lightweight-gan
Python

lightweight-gan

Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

by lucidrains · GitHub
Stars
Forks
License
Created
Last commit
Language
artificial-intelligencedeep-learninggenerative-adversarial-networkMITPython
View on GitHub
In plain words

Generate high-resolution images quickly using a lightweight generative model in Python.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
lightweight-gan — GitHub preview card
📈 Star history
1 6811 680
2026-07-202026-08-31
📈 Track lightweight-gan

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

lightweight-gan has 1.7k stars on GitHub. It has been forked 219 times. lightweight-gan is written mainly in Python. It has been in active development since 2020. lightweight-gan is available under the MIT license. Its main topics are artificial-intelligence, deep-learning, generative-adversarial-network.

Frequently asked questions

What is lightweight-gan?

Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

Is lightweight-gan open source?

lightweight-gan is an open-source project. It is released under the MIT license.

Is lightweight-gan free?

Yes. lightweight-gan is free and open source — you can use, modify and self-host it.

What license does lightweight-gan use?

lightweight-gan is available under the MIT license.

What language is lightweight-gan written in?

lightweight-gan is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — lightweight-gan

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=lucidrains-lightweight-gan)](https://olud.ai/project/lucidrains-lightweight-gan.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →
gigagan-pytorch
Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of researc…
1.9k · artificial-intelligence
sharesgenerative-adversarial-network
DF-GAN
[CVPR2022 oral] A Simple and Effective Baseline for Text-to-Image Synthesis
326 · generative-adversarial-network
sharesgenerative-adversarial-network
the-gan-zoo
A list of all named GANs!
14.7k · gan
sharesgenerative-adversarial-network
Deep-Learning-with-PyTorch-Tutorials
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
3.1k · artificial-intelligence
sharesgenerative-adversarial-network
videogan
Generating Videos with Scene Dynamics. NIPS 2016.
706 · computer-vision
sharesgenerative-adversarial-network
HyperGAN
Composable GAN framework with api and user interface
1.2k · artificial-intelligence
sharesgenerative-adversarial-network
img2img-turbo
One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more
2.5k · computer-vision
sharesgenerative-adversarial-network
stylegan2-pytorch
Simplest working implementation of Stylegan2, state of the art generative adversarial network,…
3.8k · artificial-intelligence
sharesgenerative-adversarial-network
ganspace
Discovering Interpretable GAN Controls [NeurIPS 2020]
1.8k · deep-learning
sharesgenerative-adversarial-network
Few-Shot-Patch-Based-Training
The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-…
625 · deep-learning
sharesgenerative-adversarial-network

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.