Stable Diffusion
Stability AI · Image and video · US · stability.ai
services/stable-diffusion.yamlVendor data-handling terms
“To improve and develop our Services and conduct research, including to train and improve our models and develop new product features. / When we use your Inputs and Outputs to train our models, you can opt-out of our use of this personal data for these training purposes.”
“Stability retains your personal data for as long as reasonably necessary for the purposes outlined in this Privacy Policy, depending on factors such as the terms of your agreement, our purposes for processing the data (including whether the data is needed to resolve disputes and to enforce our agreements), and any legal requirements that we are subject to.”
“Stability processes your personal data on servers located outside of the European Economic Area (“EEA”), Switzerland, and the UK, including processing your personal data in our servers in the US.”
Domains and endpoints
observed means seen in Unseen deployments; vendor-documented means listed by the vendor. Vendors do not publish complete lists.
| Host | Role | Source |
|---|---|---|
| api.stability.ai | api | observed |
| stability.ai | app | observed |
| stablediffusionweb.com | app | observed |
Assessment
Reasoning: Stability's hosted services train on inputs and outputs unless the user opts out, and process in the US. Running the open-weight models locally involves no data leaving the company, which is a different risk entirely. The observed domains include stablediffusionweb.com, a third-party front end with its own terms that are not covered here.
Flags: Trains on inputs and outputs by default; opt-out available · US processing · Third-party front ends are not covered by Stability's policy · Assessed 2026-09-16. The assessment is Unseen's; the terms above are the vendor's.
Changelog
- 2026-09-16Documented. Training, retention and transfer terms verified against the Stability AI privacy policy.
- 2026-09-15Listed from the Unseen catalogue with observed domains.
Corrections
Pull request on GitHub, or the form below. Changes are reviewed and recorded in the changelog.