NVlabs/stylegan2-ada

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1829 stars · 484 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

NVIDIA's official TensorFlow implementation of StyleGAN2 with adaptive discriminator augmentation (ADA), enabling high-quality GAN training on small datasets. It includes command-line tools for training, image generation, and projection, though it has been superseded by the official PyTorch version.

Use cases

• train a GAN on a few thousand images
• generate synthetic faces with stylegan2
• fine-tune a pretrained GAN on my own dataset
• reproduce the ADA paper training runs
• project real images into latent space of a GAN
• improve FID on CIFAR-10 with limited data

When to choose

• you need the original TensorFlow implementation for research reproducibility
• you have limited training images and want stable GAN training via ADA
• you need to load network pickles from StyleGAN or StyleGAN2

When to avoid

• you prefer PyTorch - use the official stylegan2-ada-pytorch instead
• you need actively maintained code or a permissive license
• you lack a CUDA GPU

Facets

library · maturity maintenance

machine-learning deep-learning image-processing cli machine-learning deep-learning computer-vision image-processing artificial-intelligence python gan stylegan2 generative-models tensorflow discriminator-augmentation nvidia-research image-synthesis limited-data-training linux gpu

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markdown · JSON · MCP: product_card(name="NVlabs/stylegan2-ada")