What is Diffusion Model?
The AI architecture behind image generators like Midjourney and Stable Diffusion.
Definition
A diffusion model is a type of generative AI that creates images by starting with random noise and gradually "denoising" it into a coherent image, guided by a text prompt. The model is trained by adding noise to real images and learning to reverse the process. This architecture powers Midjourney, Stable Diffusion, and DALL-E.
💡 Example
When you type a prompt into Midjourney, the diffusion model starts with pure visual noise and iteratively refines it over many steps, removing noise and shaping the image to match your description until a clear, detailed image emerges.
Explore AI tools
Find tools that use diffusion model in practice.
What is Diffusion Model?
A diffusion model is a type of generative AI that creates images by starting with random noise and gradually "denoising" it into a coherent image, guided by a text prompt. The model is trained by adding noise to real images and learning to reverse the process. This architecture powers Midjourney, Stable Diffusion, and DALL-E.
How does Diffusion Model work in practice?
When you type a prompt into Midjourney, the diffusion model starts with pure visual noise and iteratively refines it over many steps, removing noise and shaping the image to match your description until a clear, detailed image emerges.