Diffusion modeling is a powerful technique for generating high-quality images by gradually refining random noise into a coherent picture. It works in two phases: the forward process, where noise is incrementally added to an image until it becomes unrecognizable, and the reverse process, where a model learns to reconstruct the image step by step. This approach helps in creating realistic textures, fine details, and complex structures. Diffusion models have revolutionized art, design, and media by producing stunning visuals with impressive accuracy. To explore this cutting-edge technology, professionals can enroll in a generative AI course.
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