Subscribe to Our Newsletter

Success! Now Check Your Email

To complete Subscribe, click the confirmation link in your inbox. If it doesn't arrive within 3 minutes, check your spam folder.

Ok, Thanks

Stability AI announces a three-tier membership system

Stability AI announced today the introduction of its three-tiered membership system that ensures access to generative AI remains open and available to everybody. The Stability AI membership simplifies model deployment and standardizes commercial rights across a diverse pool of customers.

Ellie Ramirez-Camara profile image
by Ellie Ramirez-Camara
Stability AI announces a three-tier membership system
Image credit: Stability AI

Stability AI announced today the introduction of the Stability AI Membership. This new three-tiered membership system standardizes commercial rights while ensuring access to generative AI remains open and available to everybody. With the Stability AI membership, the company also looks to find a happy medium between maintaining open access while remaining a competitive option to its commercial partners. In other words, the membership system was created to provide affordable access to self-hosted generative AI solutions based on the Stability models for all.

The membership system consists of the Non-Commercial, Professional, and Enterprise tiers. The Non-Commercial tier is aimed at individuals who want access to the Stability models for personal and research use. It is cost-free, and in addition to access to the full suite of Core Models, the Non-Commercial tier includes early access to new models, admission to the public communities, and special events. The Professional tier is priced at $20 per month, with the possibility of requesting a discount if the cost represents an obstacle. To access Professional pricing, interested customers must be creators, developers, or startups that earn less than $1M in annual revenue, $1M in institutional funding, and 1 million active users per month. Subscribers to the Professional tier receive every benefit from the Non-Commercial tier, and they are also entitled to commercial rights over the use of the models and have access to the Discord community of Professional users.

Finally, the Enterprise tier is thought for those creators or companies that fail to satisfy all three requirements for Professional pricing. This tier is based on custom pricing and includes every feature in the Professional tier, plus exclusive support, custom billing, and access to future Enterprise-only features. Enterprise customers can choose between self-serve APIs, cloud-based providers, and private deployments. Self-serve APIs do not support Virtual Personal Cloud (VPC), but it is a fully managed, affordable solution featuring usage-based pricing. Those requiring VPC can opt for a cloud-based provider service, which includes model version control, custom controls on usage and storage, and cloud platform integration. Further features will depend on the chosen provider, and support will be split between Stability AI and the cloud provider. Private deployments guarantee the highest level of data controls and model customization with dedicated support.

Thus, the Stability AI covers a range of use cases and provides several deployment options that adjust to organizations, budgets, and infrastructures of all sizes. By doing this, the company has successfully simplified the deployment of its models and standardized commercial rights across a diverse pool of customers. Moreover, grants for the Professional tier further confirm that Stability AI is committed to preserving open access to generative AI solutions for everyone.

Ellie Ramirez-Camara profile image
by Ellie Ramirez-Camara
Updated

Data Phoenix Digest

Subscribe to the weekly digest with a summary of the top research papers, articles, news, and our community events, to keep track of trends and grow in the Data & AI world!

Success! Now Check Your Email

To complete Subscribe, click the confirmation link in your inbox. If it doesn’t arrive within 3 minutes, check your spam folder.

Ok, Thanks

Read More