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This page describes what the document states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability may vary by jurisdiction. Methodology
This is Stability AI's license agreement governing how users may access, deploy, and use Stability AI's generative AI models, including self-hosted options. The document establishes tiered licensing conditions, distinguishing between non-commercial and commercial use, with commercial licensing requiring a separate agreement for users or organizations exceeding specified revenue or deployment thresholds. The self-hosted model licensing structure authorizes users to run Stability AI models on their own infrastructure, subject to conditions set out in the applicable license tier.
This document governs the licensing terms for Stability AI's generative AI models, including self-hosted deployment options, on the basis of a tiered commercial license structure. The agreement states conditions under which users may access, deploy, and build upon Stability AI models, with distinctions drawn between non-commercial, research, and commercial use cases requiring separate licensing agreements. The document's self-hosting license provisions and revenue-based thresholds for commercial licensing create operationally distinct eligibility conditions compared to purely API-based access models, though the full scope of these conditions cannot be confirmed from the truncated document text provided. Regulatory frameworks potentially engaged include the EU AI Act, which may impose transparency and conformity obligations on high-risk AI system deployments, as well as applicable consumer protection and intellectual property frameworks; the precise applicability of these frameworks depends on the jurisdiction of deployment and the use case category. Compliance teams should note that the bifurcation between open-access and commercially licensed model variants introduces data governance and downstream liability considerations that may require evaluation under applicable AI governance regulations.
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Start Compliance free trial2 important changes detected
3 versions captured · Last updated: May 2026
Introduction of a tiered licensing structure suggests Stability AI has implemented a more granular commercial monetization model with multiple licensing tiers based on revenue thresholds.
New explicit carve-out for non-commercial and research uses clarifies that certain use cases are permitted without commercial licensing, potentially broadening accessibility for academic and non-profit entities.
New provision explicitly addresses control over redistribution and derivative works, indicating stricter IP protection measures compared to the previous version.
Removal of a specific revenue threshold provision suggests consolidation into the new 'Tiered Commercial Licensing Requirement', potentially making the licensing framework more flexible or variable.
Removal of explicit IP ownership provisions may indicate a shift in how model weight ownership is governed, possibly incorporated into other provisions or handled through separate agreements.
Removal of this standalone provision suggests these restrictions may have been redistributed among other provisions or refined into more specific limitation categories.
Provision was renamed from 'Acceptable Use Policy and Prohibited Content' to 'Acceptable Use and Prohibited Content Restrictions' and severity was reduced from high to medium, indicating a potential narrowing of enforcement scope.
Provision was renamed from 'Self-Hosted Deployment Rights' to 'Self-Hosted Deployment Authorization', shifting terminology from granting rights to requiring authorization.
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