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Stability AI on Using Amazon SageMaker to Build Generative AI

Stability AI, a leading open-source generative artificial intelligence (AI) company, provides a definitive path for cutting-edge research in imaging, language, code, audio, video, 3D content, design, biotech, and other scientific studies.

In this AWS re:Invent 2022 video, Stability AI founder & CEO Emad Mostaque discusses generative AI, how his company trains generative AI models using Amazon SageMaker, and how you can access and fine-tune Stability AI’s Stable Diffusion model to build your own generative AI applications.

An Amazon Web Services (AWS) customer, Stability AI is behind the popular Stable Diffusion model that has gained rapid adoption among users for generating original images based on natural language prompts. Stability AI used Amazon SageMaker to train the Stable Diffusion model 60% faster. Through Amazon SageMaker JumpStart you can access Stable Diffusion, fine-tune it for your use case, and test and deploy it within your AWS account.

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With Amazon SageMaker and the other AWS services, we can make generative AI accessible to you to create amazing new things and activate the potential of your businesses, your community, and humanity. We're super excited to see what you're going to create with generative AI.”

Emad Mostaque
CEO, Stability AI

AWS Services Used

Amazon SageMaker

Amazon SageMaker is built on Amazon’s two decades of experience developing real-world ML applications, including product recommendations, personalization, intelligent shopping, robotics, and voice-assisted devices.

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Amazon SageMaker JumpStart

Amazon SageMaker JumpStart is a machine learning (ML) hub that can help you accelerate your ML journey. With SageMaker JumpStart, you can access pretrained models, including foundation models, to perform tasks like article summarization and image generation.

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