The primary role of diffusion models in ChatGPT ImageGen is to progressively transform random noise into a coherent, detailed image based on a given text prompt. Diffusion models achieve this through a two-stage process: a forward diffusion process and a reverse diffusion process. In the forward diffusion process, the model gradually adds noise to an initial image until it becomes pure random noise, essentially destroying any discernible structure. This process is Markovian, meaning each step depends only on the previ....
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