New: the Timeline is live. Track world model releases, papers, and benchmark updates in real time.
world-models.io
The Knowledge Hub for AI World Models

Stability AI

Stability AI develops open-source generative models including Stable Video Diffusion, democratizing access to video generation and world simulation technology.

robotics model-based-rl simulation embodied-ai

About Stability AI

Main editorial body preserved directly in static HTML.

Stability AI is the company behind the Stable Diffusion family of models. Their Stable Video Diffusion (SVD) is one of the most widely adopted open-source video generation models, enabling a large research ecosystem around video synthesis and implicit world modeling through motion prediction.

Stability AI is a industry organization based in United Kingdom with a visible footprint in AI world models.

Lab Snapshot

Static summary of the lab profile for crawlers and no-JS readers.

AttributeValue
LabStability AI
Short NameStability AI
Typeindustry
RegionUnited Kingdom
Related Models1
DescriptionStability AI is the company behind the Stable Diffusion family of models. Their Stable Video Diffusion (SVD) is one of the most widely adopted open-source video generation models, enabling a large research ecosystem around video synthesis and implicit world modeling through motion prediction.

Focus Areas

Focus areas surfaced directly from the lab record.

video-generationdiffusion-modelsopen-source-ai

Related Models

Models currently associated with this lab in the local knowledge base.

ModelCategoryYearIndex v1.1
Stable Video DiffusionGenerative World Model202357/100

Quick Answer

Short extractable summary preserved directly in static HTML.

  • Stability AI is a industry organization based in United Kingdom with a visible footprint in AI world models.
  • On world-models.io, it is associated with 1 world model across editorially linked pages.
  • Use this page to review the organization profile, connected models, related comparisons, and official sources.

Editorial Trust Signals

Editorial provenance and refresh policy preserved directly in static HTML.

Published by world-models.io editorial board.

Lead editor Bernard Grenat.

This lab page distinguishes official organization sources from world-models.io editorial synthesis and related model coverage.

Each editorial page is assembled from primary sources, normalized into extractable summaries, checked for factual drift, and reviewed before publication or major refreshes. Last reviewed: 2026-06-21.

Pages are refreshed when a new paper, benchmark, release, architecture update, or stronger primary source materially changes the answer a reader or AI system should retrieve.

Each page links back to relevant primary sources and keeps a stable canonical URL so readers can verify claims, trace context, and reference the most up-to-date version. See the editorial policy.

Primary sources onlyLast reviewed date visibleMethodology documentedSource links included

Official Sources

Primary lab and model sources embedded in static HTML.