Technical
Diffusion Model
Definition
A type of generative model that creates data by learning to reverse a gradual noising process.In-Depth Explanation
Diffusion models add noise to training data step by step, then learn to reverse this process. Generation starts from pure noise and iteratively denoises to produce coherent outputs. They power state-of-the-art image generation tools like Stable Diffusion, Midjourney, and DALL-E 3.
Real-World Example
Stable Diffusion uses a diffusion model to generate detailed images from text prompts.
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