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Achieve more precise facial attribute editing by decoupling attribute manipulation from image synthesis, sidestepping the optimization challenges of directly combining GANs and diffusion models.
Achieve state-of-the-art facial attribute editing and style manipulation with a diffusion model by ditching semantic directions for style codes and a clever forward-backward consistency training strategy that avoids paired images.
