StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

HyperInverter: Improving StyleGAN Inversion via Hypernetwork (CVPR 2022)

Image Synthesis + Corgis = <3

Buckle up, adventure in the styleGAN2-ada-pytorch network latent space awaits

Your own Ilya Kuvshinov. Now almost as real as the real one.

Train a StyleGAN2-ADA model on Colaboratory to generate Steam banners.

Simplified pytorch lightning port of StyleGAN2-ADA

Guohua: Traditional Chinese painting, Landscape painting flower & bird painting

Pytorch implementation of StyleGAN2ADA

Your own Ilya Kuvshinov

🌌The Jupyter Notebook behind ThisNightSkyDoesNotExist - Train a StyleGan2-ADA on a custom image dataset scrapped from Instagram!

Official Implementation for "StyleDomain: Efficient and Lightweight Parameterizations of StyleGAN for One-shot and Few-shot Domain Adaptation" (ICCV 2023)

StyleGAN2-ADA trained on a dataset of 2000+ sneaker images

Experimental repository attempting to project facial landmarks into the StyleGAN2 latent space.

Towards Fine-grained Image Classification with Generative Adversarial Networks and Facial Landmark Detection - Paper Implementation and Supplementary Materials

Wisketchy Dobrov's collection of pretrained StyleGAN2-ada-pytorch compatible networks

ncnn implementation of StyleGAN2ADA and StyleGAN3.

Train a StyleGAN2-ADA (PyTorch) model on Colab to generate Steam banners.

An easy gift idea for Secret Santa using StyleGAN

Fine-tune StyleGAN2 on your custom data!