Workers AI Update: Stable Diffusion, Code Llama + Workers AI in 100 cities

Thanksgiving might be a US holiday (and one of our favorites — we have many things to be thankful for!). Many people get excited about the food or deals, but for me as a developer, it’s also always been a nice quiet holiday to hack around and play with new tech. So in that spirit, we're thrilled to announce that Stable Diffusion and Code Llama are now available as part of Workers AI, running in over 100 cities across Cloudflare’s global network.

As many AI fans are aware, Stable Diffusion is the groundbreaking image-generation model that can conjure images based on text input. Code Llama is a powerful language model optimized for generating programming code.

For more of the fun details, read on, or head over to the developer docs to get started!

Generating images with Stable Diffusion

Stability AI launched Stable Diffusion XL 1.0 (SDXL) this past summer. You can read more about it here, but we’ll briefly mention some really cool aspects.

First off, “Distinct images can be prompted without having any particular ‘feel’ imparted by the model, ensuring absolute freedom of Continue reading

Workers AI: serverless GPU-powered inference on Cloudflare’s global network

If you're anywhere near the developer community, it's almost impossible to avoid the impact that AI’s recent advancements have had on the ecosystem. Whether you're using AI in your workflow to improve productivity, or you’re shipping AI based features to your users, it’s everywhere. The focus on AI improvements are extraordinary, and we’re super excited about the opportunities that lay ahead, but it's not enough.

Not too long ago, if you wanted to leverage the power of AI, you needed to know the ins and outs of machine learning, and be able to manage the infrastructure to power it.

As a developer platform with over one million active developers, we believe there is so much potential yet to be unlocked, so we’re changing the way AI is delivered to developers. Many of the current solutions, while powerful, are based on closed, proprietary models and don't address privacy needs that developers and users demand. Alternatively, the open source scene is exploding with powerful models, but they’re simply not accessible enough to every developer. Imagine being able to run a model, from your code, wherever it’s hosted, and never needing to find GPUs or deal with setting up the infrastructure to support Continue reading