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JoJoGAN is a deep-learning model designed for one-shot face stylization. It's powered by a generative adversarial network (GAN). It takes an input image of a person's face and generates a stylized version based on a given reference image. The model leverages a blend of perceptual loss and identity loss to produce outputs that are visually compelling.