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Diffusion models don’t draw images from scratch. They use diffusion models, generative AI, and neural networks. First, real data is slowly destroyed. Noise is added step by step until nothing remains. Then the model learns the reverse path. At every step, it predicts how to remove a little noise. This process follows simple math inspired by random motion. Over many small corrections, structure reappears. That is how image generation and video generation work today. Not magic. Just learned denois
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