NVlabs/stylegan

Health v2 · maintenance only

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14416 stars · 3135 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

The official TensorFlow implementation of StyleGAN, NVIDIA's style-based generator architecture for generative adversarial networks from the CVPR 2019 paper. It enables training and synthesizing high-quality photorealistic images, notably human faces, with scale-specific control over generated attributes.

Use cases

• generate photorealistic human faces with a GAN
• train a style-based generator on my own image dataset
• control specific attributes of generated images via latent vectors
• reproduce the StyleGAN CVPR 2019 paper results
• interpolate between faces in latent space
• study disentanglement of latent factors in GANs

When to choose

• you need the original StyleGAN architecture exactly as published
• you are doing GAN research or reproducing the paper
• your stack already uses TensorFlow 1.x with CUDA/cuDNN
• you want the official pretrained FFHQ face generator

When to avoid

• you want modern PyTorch tooling - use StyleGAN2-ADA-PyTorch or StyleGAN3 instead
• you need TensorFlow 2.x or recent GPU support
• you need a permissively licensed model - it is CC BY-NC (non-commercial)
• you want actively maintained code - this repo is legacy

Facets

library · maturity maintenance

machine-learning deep-learning image-processing deep-learning machine-learning image-processing computer-vision python gan stylegan generative-models tensorflow face-generation research-code nvidia gpu linux

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markdown · JSON · MCP: product_card(name="NVlabs/stylegan")