# Diffusion model

> The image-generation architecture that starts from noise and removes it step by step — the engine behind Stable Diffusion and most modern image tools.

A diffusion model is trained to denoise: shown a progressively noisier image, it learns to recover the cleaner one. Run backwards from pure static, guided by a text prompt, that skill becomes image generation — the model 'finds' a picture inside the noise that matches the description.

Because they run locally and openly, diffusion models are the practical backbone of commercial image work: style-consistent illustrations, product mockups, inpainting and repair. Control mechanisms — depth maps, edge guidance, reference images — are what turned 'pretty picture' into 'usable asset'.

## Related terms

- https://dfieldsolutions.com/en/glossary/stable-diffusion.md
- https://dfieldsolutions.com/en/glossary/comfyui.md
- https://dfieldsolutions.com/en/glossary/multimodal.md

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Source: https://dfieldsolutions.com/en/glossary/diffusion-model
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