What is Diffusion Model?
A type of AI model that generates content by progressively removing noise from a random starting point. The foundation of most modern AI image and video generators.
How it works
Diffusion models are the core technology behind nearly every major AI image and video generator in 2026. The model learns to reverse a noise-adding process: during training, it learns how to gradually remove noise from a corrupted image to recover the original. During generation, it starts with pure random noise and progressively denoises it into a coherent image or video frame, guided by your text prompt or reference image. This approach produces high-quality output because the model makes many small refinement steps rather than trying to generate the final result in one pass. Key parameters like CFG scale and denoising strength control how the diffusion process works. Understanding the basics of diffusion helps you write better prompts and adjust generation parameters more effectively.
Tools that use diffusion model
Related terms
Frequently asked questions
What does diffusion model mean in AI video?▾
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