The agreement sets out conditions governing redistribution of Stability AI model weights and the creation of derivative models, including fine-tuned variants, requiring compliance with applicable license tier terms.
This analysis describes what Stability AI's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
This provision determines the conditions under which users may share, redistribute, or build upon Stability AI model weights, which is operationally significant for developers publishing fine-tuned models, open-source projects, and organizations distributing AI-powered applications.
Interpretive note: The specific conditions governing redistribution and derivative works were not available in the truncated document; this provision is inferred from publicly known aspects of Stability AI's licensing structure and the document's contextual metadata.
New provision explicitly addresses control over redistribution and derivative works, indicating stricter IP protection measures compared to the previous version.
View full change record →Under this clause, redistribution of Stability AI model weights or derivative models is subject to conditions set out in the applicable license tier. Users who fine-tune Stability AI models and publish the resulting weights must ensure their redistribution complies with the license terms governing the base model.
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(1) REGULATORY LANDSCAPE: Redistribution and derivative work conditions engage intellectual property law, including copyright and trade secret protections applicable to AI model weights in relevant jurisdictions. The EU AI Act's provisions on general-purpose AI model providers may apply where derivative models are made publicly available at scale. (2) GOVERNANCE EXPOSURE: Medium. Organizations that fine-tune and redistribute Stability AI models may inadvertently assume the compliance obligations of a model provider under applicable AI governance frameworks, including documentation and transparency requirements. (3) JURISDICTION FLAGS: EU and EEA organizations redistributing derivative models face potential exposure under the EU AI Act's general-purpose AI model provider obligations. Open-source redistribution that crosses commercial thresholds may trigger commercial licensing requirements. (4) CONTRACT AND VENDOR IMPLICATIONS: Developers and organizations publishing fine-tuned models derived from Stability AI base weights should review whether their redistribution license terms are consistent with the Stability AI license conditions. Misalignment between redistribution terms and the base model license may create downstream liability. (5) COMPLIANCE CONSIDERATIONS: Legal teams should conduct a model provenance review for any AI application that incorporates or redistributes Stability AI model weights or derivatives, and ensure that license conditions are passed through appropriately in downstream agreements.
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This provision determines the conditions under which users may share, redistribute, or build upon Stability AI model weights, which is operationally significant for developers publishing fine-tuned models, open-source projects, and organizations distributing AI-powered applications.
Under this clause, redistribution of Stability AI model weights or derivative models is subject to conditions set out in the applicable license tier. Users who fine-tune Stability AI models and publish the resulting weights must ensure their redistribution complies with the license terms governing the base model.
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