JoJoGAN is a one-shot image stylization system that learns to transfer artistic styles (such as anime) from a single reference image onto any input face. It approximates paired training data through GAN inversion and fine-tunes a pretrained StyleGAN to capture stylistic details like eye shapes and line boldness. The model enables users to stylize images via Google Colab, Replicate, or Hugging Face Spaces.