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hello everyone Im epic Minister and I will be presenting Dreamboat fine tuning takes to image division models for subject driven generation a paper by Google research AI team so today I will talk about what this paper is about some of the related Works done how the model works and the results of the model I would like to start talking about what are the diffusion models diffusion models are probabilistic generative models that are trained to learn a data distribution by the gradual denoising of a variable sampled from a gaussian distribution they take the input image and gradually add gaussian noise to a through a series of t-step they will call this the forward process so this is a fixed process and then a neural network is trained to recover the original data by reversing the noising process by being able to model the reverse process they can generate new data like shown in the figure below so in general text to image models achieve high quality and diverse synthesis of images from
