What are Diffusion Models? | IBM
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AI Folks on Instagram: "✨ Diffusion Models are a class of generative deep learning models that power some of today’s most stunning AI-generated art and imagery 🧠🎨. They work by gradually adding noise to data (like an image) and then learning how to reverse that process denoising it step by step to recreate or generate entirely new visuals. Explore the science and innovation behind generative AI at aifolks.org. [diffusion models, generative AI, deep learning, image generation, den
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Randomness is not the enemy. In machine learning and GenAI systems, diffusion models start with pure noise. AI automation does not create images, it learns how noise should move. Each step slightly points chaos back toward structure. Nothing magical is added. The model only learns direction. But repeated long enough, order appears from randomness. Most builders misunderstand where control actually comes from. Comment WAIT if this surprised you. This is how serious AI builders think about generat
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AI • Machine Learning • Tech on Instagram: "AI video generation is typically powered by machine learning models called diffusion models. Diffusion models are models that generate data by learning how to reverse a random noising process. During training, random noise is added step by step to images or video frames until they become practically pure noise, and the model learns to predict and remove that noise at each step. At inference, the process starts from pure noise and the model iteratively
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