william taft quotes - The training process of diffusion models involves two key steps: forward diffusion and reverse diffusion. In the forward diffusion step, the model takes a clean image and gradually adds noise to it over a series of time steps. This process transforms the image into pure noise. The reverse diffusion step is where the magic happens. Starting from random noise, the model learns to gradually remove the noise, step by step, to reconstruct the image. The model predicts the noise at each step and then subtracts it from the noisy image, iteratively refining the image until a coherent and detailed output is produced. This is where the model generates the final image. The power of diffusion models lies in their ability to generate high-quality images and their flexibility in following instructions. They’re becoming the go-to choice for creating beautiful images from text prompts.
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