Adobezii |best| 〈Full — TUTORIAL〉

Institute of Synthetic Bioactive Molecules, University of Farmacity

J. Chen, A. Patil, M. Rivera

We present Adobezii , a latent diffusion model fine-tuned on a dataset of 50k damaged artworks and manuscripts. Unlike previous methods, Adobezii integrates a perceptual loss from a ViT-G/14 classifier and a novel edge consistency module, achieving a FID score of 3.2 on the test set. User studies confirm 89% preference for Adobezii outputs over baseline inpainting tools. The system runs at 30 fps on a single A100 GPU. adobezii

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