Most users should download the versions for modern GPU support and faster performance. Best Use Case Primary Download Link StyleGAN3 Video generation & alias-free, smooth animations. GitHub - NVlabs/stylegan3 StyleGAN2-ADA Training on limited datasets (e.g., GitHub - NVlabs/stylegan2-ada-pytorch StyleGAN2 High-quality static image generation (Standard). GitHub - NVlabs/stylegan2 StyleGAN1 Original architecture (legacy support). GitHub - NVlabs/stylegan System Requirements for Installation
Linux is recommended for peak performance, though Windows 10/11 is supported. Software Dependencies: Python 3.7+. PyTorch 1.7.1 or later (for PyTorch versions). CUDA Toolkit 11.1+ and cuDNN. download stylegan
NVIDIA GPU with at least 12GB to 16GB of VRAM (RTX 3090, V100, or A100 recommended). Most users should download the versions for modern
You don't always need to train a model from scratch. You can download to generate images immediately: GitHub - sancarlim/stylegan2-ada-pytorch PyTorch 1
StyleGAN is resource-intensive and requires specialized hardware to run effectively:
Microsoft Visual Studio (Windows users only, for compiling custom C++/CUDA extensions). Downloading Pre-trained Models