EN
Sign inGet started
Glossary

Stable Diffusion

What is Stable Diffusion?

Stable Diffusion is a family of image generation models that create pictures from a text description. The first version was released in 2022, developed under the lead of Stability AI together with research partners. Technically it is a latent diffusion model that gradually turns image noise into a picture. Because the model weights are published, it can be run and customised locally; commercial use of newer versions is governed by Stability AI's own licence (as of October 2026).

Topics

  • image generation
  • diffusion model
  • open weights

Try KI.ordo

Agents, flows and templates in one workspace – free 24-hour demo.

Start demo
← All terms

Related terms

DALL-E

DALL-E is a series of image generation models from OpenAI that create images from text descriptions. The first version appeared in 2021; DALL-E 3 was integrated into ChatGPT in 2023 and made text-to-image generation accessible to a broad audience. OpenAI has since replaced DALL-E with newer image models from the GPT Image series; API access to DALL-E 2 and 3 ended in May 2026 (as of October 2026).

  • image generation
  • OpenAI
  • +1

Flux AI model

Flux is a family of AI models that generate and edit images from text descriptions. It is developed by Black Forest Labs, based in Freiburg im Breisgau, Germany. The first generation appeared in August 2024 and FLUX.2 in November 2025, alongside variants for editing images by text instruction. Some versions are available with open weights, partly for non-commercial use only, while others are offered exclusively via an API (as of October 2026).

  • Image generation
  • Text-to-image
  • +1

Seed in AI art

The seed is a starting number for an image model's random number generator. Diffusion models begin with random image noise from which a picture gradually emerges; the seed determines what this initial noise looks like. With the same seed, prompt and settings, an image can largely be reproduced in the same model. This helps when changing just one detail in the prompt or recreating a successful image variant later.

  • image generation
  • reproducibility
  • +1

Generative AI

Generative AI refers to AI systems that create new content – text, images, audio, video or program code – rather than merely sorting or assessing existing data. They are based on models that learn patterns from large amounts of data and use them to produce plausible new outputs. In business it is used, for example, to draft emails, summaries, product descriptions or image ideas. Results can contain errors and should be checked before use.

  • Core concept
  • Content creation
  • +1