Creating beautiful generative AI images can be fun and useful, but that’s not all business needs are.

Creating a text-to-image business is more than creating images. It’s about the integration of existing workflows and other AI tools in the business. That is one direction Strength AIthe vendor behind Stable Diffusion, understands.

Today, Stability AI and Amazon Web Services (AWS) jointly announced that Stable Spread 3.5 Large available on the Amazon Bedrock service. AWS is the only public cloud service that offers the flagship Stability AI models.

Movement is not just about simple existence. It’s about integration and a go-to-market strategy that gives life to the efforts of Stability AI as the company new CEO brings a renewed focus on meeting customer needs. Amazon Bedrock provides a single, integrated API that allows businesses to access and use multiple AI models, including Stable Diffusion. That’s important, because AWS’s own research shows that most businesses use more than one model at a time. It’s a method that users including the National Football League (NFL) and Stride Learning have already benefited from.

Amazon Bedrock’s deployment of Stable Diffusion 3.5 comes as Stability AI faces an increasingly competitive landscape with rivals including Google, Midjourney, Ideogram and Flux Pro by Black Forest Labsand so on. The company aims to diversify its image diversity in terms of style, easy compliance and business workflows.

“There’s a reason we’re on AWS,” Prem Akkaraju, CEO of Stability AI, told VentureBeat in an exclusive interview. “It’s because that’s where the developers and the creators are, and we want to bring our tools and our models to where they are. Our goal is to empower professional content creators .”

AWS has its own image generation technology, why does it need Stable Diffusion?

The increasingly competitive text-to-image gen AI landscape also includes models from Amazon. At the beginning of December, the Amazon Nova AI The model family is announced, including image creation models.

Baskar Sridharan, VP of AI and ML services and infrastructure at AWS told VentureBeat that having multiple text-to-image generation models gives the user choice. Amazon Bedrock provides a unified API for users, so they can choose to deploy any model available on the platform using the same API. Sridharan also noted that AWS provides model evaluation tools that help businesses choose the best tool for a specific deployment.

Not surprisingly, Akkaraju found the Stable Diffusion 3.5 superior to other models. That’s a statement that Stability AI supports through its reported benchmarks of quick compliance.

“We have shown in our research that the Stable Diffusion 3.5 Large leads the market in easy to follow, allowing models to closely follow a given text prompt and really making it the top choice for efficiency and high quality performance,” Akkaraju said.

How businesses can fit Stable Diffusion into an Amazon Bedrock AI workflow

Stable Diffusion 3.5 has been available to Stability AI users through the company’s API as well as the Stable Assistant service since late October.

Stability AI doesn’t see any real price difference between using Stable Diffusion with its API or through Amazon Bedrock. The real benefit for business users with Stable Diffusion now available on Amazon Bedrock is the ability to fit larger, more complex business workflows. Businesses can benefit from a unified workflow that connects multiple models from different vendors all together with a single API.

It’s a method the NFL already uses.

The NFL has an application called “My Cause, My Cleats” that uses Amazon Bedrock to create a collaborative, community-focused experience for creating custom cleat designs. Sridharan explained that the application uses Anthropic Claude and Stable Diffusion. The NFL uses Claude to create detailed prompts that understand user preferences and determine what they want. That impulse is then fed into Stable Diffusion to generate the image. The entire process and workflow is done by Amazon Bedrock without having to jump between different services.

Another organization that benefits from integration is the education vendor Learning Steps. The company needs images to support the Legends Library online learning game – lots of images, up to 1,000 images per minute. Amazon Bedrock provides the infrastructure to support that scale of running Stable Diffusion. Beyond the high performance scale, the output of the image creation must also be ensured. That’s where the Amazon Bedrock Guardrails API Adapted. Sridharan noted that with guardrails, Stride Learning is able to meet responsible AI policies for image creation.

“If you do all of this with an API endpoint, it makes it a lot easier for customers to build these types of applications,” Sridharan said.

Stability AI’s eventful 2024 and the road ahead with its new leadership

The Stable Diffusion 3.5 update and availability of Amazon Bedrock capped off a significant year for Stability AI.

The company’s founder and former CEO Emad Mostaque resigned in March amid concerns about focus and lack of revenue. It will take until June for Stability AI to find a permanent replacement for Akkaraju’s coaching.

To date, Akkaraju has been at the forefront of successive model updates. He also helped bring in new investors such as Napster founder Sean Parker and advisors including the acclaimed director. James Cameron in September. Akkaraju comes from a background in visual effects and has helped produce films including Cameron’s Avatar. In his view, the professional visual media industry will be completely transformed in the next few years, moving to created content instead of translated content.

“It’s a good thing we work so hard in the creative business, because these are probably some of the most demanding clients we could ask for,” Akkaraju said.

Looking ahead, he teased that Stability AI’s plan is to dominate the world. On a more serious note, however, he expects continued innovation as his company strives to meet real-world workflow needs.

“We will continue to push the model forward,” Akkaraju said. “You might even see us do another release next year with our next image model and just stay on top of the wave.”