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The image generation capabilities of tools like DALL·E, Imagen, and Stable Diffusion all rely on a key concept called diffusion models. In this post, let’s explore how it works and implement a simple version of the forward diffusion process. How Diffusion Models Work At their core, diffusion models operate through two phases: Forward Diffusion: Gradually corrupt training data with noise Reverse Diffusion: Learn to reverse this noise-adding process Forward Diffusion Process The forward process is a Markov chain that slowly adds Gaussian noise to an image over \(T\) steps....