Modèle Updated 2026-04

Diffusion Model

Definition

A diffusion model is an AI architecture that generates images starting from random noise and progressively refining it.

See also in the glossary

G
Generative AI
Generative AI refers to artificial intelligence systems capable of creating original content: text, images, video, audio, code.
T
Text-to-Image
Text-to-Image refers to generating images from text descriptions using generative AI models.
D
Deep Learning
Deep Learning is a subset of Machine Learning using multi-layered neural networks to learn complex representations from raw data.
T
Text-to-Video
Text-to-Video generates videos from text descriptions using generative AI.

Tools that use diffusion model

M
Midjourney
The reference in AI image generation
4.4/5
S
Stable Diffusion
The open source reference for AI image generation
4.4/5
D
DALL-E
The most used AI image generator, built into ChatGPT
4/5
R
Runway
The AI creative suite for professional video generation and editing
4.4/5

Frequently Asked Questions

How does a diffusion model work?
The model learns to add noise to an image then remove it. At generation, it starts from pure noise and 'denoises' step by step, guided by your prompt, to create a coherent image.
Diffusion vs GAN, what's the difference?
GANs use two competing networks. Diffusion models use an iterative denoising process. In 2026, diffusion dominates for quality and diversity.