by Amit Shekhar · 3 June 2026
Diffusion Models
Diffusion Models. We will understand what they are, why we need them, how they work step by step, and how they generate amazing images like the ones we see in tools such as DALL-E, Stable Diffusion, and Midjourney.
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What this article covers
- What is a Diffusion Model?
- Why do we need Diffusion Models?
- The two processes: Forward and Reverse
- The Forward Process (adding noise)
- The Reverse Process (removing noise)
- A step-by-step example walk-through
- How the model is trained
- A simple code example
- Conditional Diffusion (text to image)
- Advantages of Diffusion Models
- Where Diffusion Models are used
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