Revolutionizing Visual Content Creation with Bria AI Models on Amazon SageMaker JumpStart
This post is co-written with Bar Fingerman from Bria.
We are excited to announce that Bria 2.3, 2.2 HD, and 2.3 Fast text-to-image foundation models (FMs) from Bria AI are now available in Amazon SageMaker JumpStart. Bria models are trained on commercial-grade licensed data, ensuring high standards of safety, compliance, and full legal indemnity.
These cutting-edge models from Bria AI produce high-quality and contextually relevant visual content suitable for marketing, design, and image generation applications in various industries such as ecommerce, media, entertainment, gaming, consumer-packaged goods, and retail.
In this blog post, we dive into Bria’s family of models, provide an overview of the Amazon SageMaker platform, and guide you on discovering, deploying, and running inference on a Bria 2.3 model using SageMaker JumpStart.
Overview of Bria AI Models
Bria AI offers a range of high-quality visual content models that represent the forefront of generative AI technology:
- Bria 2.3 – Exceptional photorealism and detail, capable of generating stunning images with complex concepts in various art styles.
- Bria 2.2 HD – Optimized for high-definition applications, ensuring crisp and clear details in visual content.
- Bria 2.3 Fast – Generates high-quality visuals at a faster rate, ideal for applications with quick turnaround times without compromising on quality.
Overview of SageMaker JumpStart
SageMaker JumpStart offers a wide selection of publicly available FMs. ML practitioners can deploy FMs to dedicated SageMaker instances and customize models using SageMaker for training and deployment. Discover, deploy, and run Bria models in Amazon SageMaker Studio or programmatically through the SageMaker Python SDK to derive model performance and MLOps controls.
Subscribe to Bria models in AWS Marketplace, configure and deploy using the SageMaker console, or choose SageMaker JumpStart for a seamless experience.
Prerequisites
To try out the Bria models using SageMaker JumpStart, you need the following prerequisites:
Discover Bria Models in SageMaker JumpStart
Access the FMs through SageMaker JumpStart in the SageMaker Studio UI or Python SDK. Explore the Bria models, select from available options, and deploy a model endpoint for your use case.