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In this video tutorial, Epic Minister presents the paper "Dreamboat: Fine Tuning Diffusion Models for Subject Driven Generation" by Google Research AI team. The tutorial covers the basics of diffusion models, which are probabilistic generative models trained to learn data distribution by denoising variables sampled from a gaussian distribution. The model works by gradually adding gaussian noise to an input image through a series of steps, and a neural network is trained to reverse this process to generate new data. Overall, text to image models achieve high quality and diverse synthesis of images.
