Stable Diffusion 3.5 Hits Amazon Bedrock: What It Means for Enterprise AI Workflows

Generating AI visualizations can be fun and useful, but not every enterprise needs that.

Generating a text-to-image campaign is about more than just creating images. It's about integration with existing workflows and other enterprise AI tools. That's the direction AI sustainabilitythe vendor behind Stable Diffusion, understands.

Today, Stability AI and Amazon Web Services (AWS) announced that together Stable release 3.5 Major available on the Amazon Bedrock service. AWS is the only public cloud service that offers the main Stability AI models.

The move isn't just about simple access. It's about integration and a go-to-market strategy that will bring more life into Stability AI's efforts as the company's. A new leader bringing a new focus on meeting customer needs. Amazon Bedrock provides a single unified API that allows enterprises to access and use multiple AI models, including Stable Diffusion. That's important, because AWS's own research shows that most enterprises use more than one model at the same time. It's an approach that clients including the National Football League (NFL) and Stride Learning are already benefiting from.

Amazon Bedrock's deployment of Stable Diffusion 3.5 comes as Stability AI faces an increasingly competitive landscape with competitors including Google, Midjourney, Ideogram and Black Forest Labs' Flux Proamong others. The company aims to differentiate itself with more image diversity in terms of style, keeping it tidy and enterprise workflows.

“There's a reason we're on AWS,” Prem Akkaraju, CEO of Stability AI, told VentureBeat in an exclusive interview. “That's what the developers and creators are for, and we want to take our tools and models where they belong. Our goal is to empower professional content creators.”

AWS has its own image generation technology, why is Stable Diffusion needed?

The increasingly competitive text-to-image AI gen landscape also includes models from Amazon. At the beginning of December, the Amazon Nova AI a family of models was named, including image generation models.

Baskar Sridharan, VP of AI and ML services and infrastructure at AWS told VentureBeat that several text-to-image generation models give users a choice. Amazon Bedrock provides a single unified API for users, so they can choose to use any module available on the platform using the same API. Sridharan also noted that AWS provides model evaluation tools that help enterprises choose the best tool for a specific use.

It's no surprise that Akkaraju thinks Stable Diffusion 3.5 is better than other models. That's proof that Stability AI has supported it through benchmarks that have been reported to hold fast.

“We show in our research that Stable Diffusion 3.5 Large leads the market in fast retention, allowing models to quickly follow specific text and making it the top choice for efficiency and high quality performance,” said Akkaraju.

How enterprises can integrate sustainable deployment into the Amazon Bedrock AI workflow

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

Stable AI sees no real price difference between using Stable Diffusion on its API or through Amazon Bedrock. The real benefit for enterprise users with Stable Diffusion now available on Amazon Bedrock is the ability to adapt to larger and more complex enterprise workflows. Enterprises can benefit from a unified workflow that connects multiple modules from different vendors all together with a single API.

This is an approach the NFL is already using.

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

Another group that has benefited from the merger is the education vendor Learning Stride. The company needed images to support its online learning game Library of Legends – lots of images, up to 1,000 images per minute. Amazon Bedrock provides the infrastructure to support that scale for running Stable Diffusion. More than just a high-performance scale, it was also necessary to obtain an image-generating output. That's where the Amazon Bedrock Guardrails API Sridharan noted that with guardrails, Stride Learning is able to meet responsible AI policies for image generation.

“When you do all of this using a single API endpoint, it becomes very easy for customers to build these types of applications,” Sridharan said.

The sustainability of AI in 2024 and the way forward with its new leadership

The Stable Diffusion 3.5 update and availability on Amazon Bedrock round out an exciting year for Stability AI.

Founder of the company and former CEO Emad Mostaque resigned in March amid concerns about focus and lack of revenue. It took until June for Stability AI to find a permanent person with the appointment of Akkaraju.

Until now, Akkaraju had been at the helm for a series of model updates. He has also helped bring in new investors such as Napster founder Sean Parker and advisors including renowned director James Cameron in September. Akkaraju comes from a visual effects background and has helped produce films including Cameron's Avatar. In his opinion, the visual media industry will change completely over the coming years, moving to generated content rather than delivered content.

“It's a good thing that we work a lot in the creative industry, because those are probably some of the most demanding clients we could ask for,” said Akkaraju.

Looking ahead, he joked that the Stability AI plan is world control. On a more serious note, however, he expects continued innovation as his company tries to meet real workflow needs.

“We're going to keep pushing the model forward,” Akkaraju said. “Maybe you'll see us do another release next year of our next profile model and just stay on top of the wave. “