Full-Time
Posted on 4/23/2025
Generative AI models for diverse applications
No salary listed
Senior, Expert
Remote in USA
Remote
Stability AI focuses on generative artificial intelligence, providing advanced AI models to a diverse clientele, including individual developers and large corporations. Their main product, Stable Diffusion XL, is an open-source AI model that allows users to create innovative applications by downloading, modifying, and utilizing the model freely. This open-source approach encourages collaboration and speeds up innovation in the AI space. In addition to Stable Diffusion XL, Stability AI offers various other models for generating music, language, and video content, all available under the same open-source framework. They also provide a membership program that offers additional features like self-hosting, catering to clients who need more control over their AI applications. Stability AI operates on a freemium model, allowing free access to their AI models while generating revenue through their membership program, making their technology accessible to a wide range of users.
Company Size
51-200
Company Stage
Early VC
Total Funding
$231M
Headquarters
London, United Kingdom
Founded
2019
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Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn MoreBlack Forest Labs (BFL), the startup founded by the creators of the popular Stable Diffusion model, has launched a new image generation model called FLUX.1 Kontext. This model not only generates and edits photos, but also allows users to modify them with both text and other images.The company also announced its new BFL Playground, where people can try out BFL’s models.BFL released two versions of the model: FLUX.1 Kontext [pro] and FLUX.1 Kontext [max]. A third version, FLUX.1 Kontext [dev] will be available on private beta. Both the Pro and Max versions are now available on platforms such as KreaAI, Freepik, Lightricks, OpenArt and LeonardoAI.Today we're releasing FLUX.1 Kontext – a suite of generative flow matching models that allow you to generate and edit images.Unlike traditional text-to-image models, Kontext understands both text AND images as input, enabling true in-context generation and editing. pic.twitter.com/zleJGuXDge — Black Forest Labs (@bfl_ml) May 29, 2025FLUX.1 Kontext can perform in-context generation
Interestingly, Stability AI and Arm announced their collaboration for generative audio creation at Mobile World Congress (MWC) 2025.
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Poe‘s latest usage report shows OpenAI and Google strengthening their positions in key AI categories while Anthropic loses ground and specialized reasoning capabilities emerge as a crucial competitive battleground.According to data released today by Poe, a platform offering access to more than 100 AI models, significant market share shifts occurred across all major AI categories between January and May 2025. The data, drawn from Poe subscribers, provides rare visibility into actual user preferences beyond industry benchmarks.“As a universal gateway to 100+ AI models, Poe has a unique view of usage trends across the ecosystem,” said Nick Huber, Poe’s AI Ecosystem Lead, in an exclusive interview with VentureBeat. “The most surprising things happening right now are rapid innovation (3x the number of releases Jan-May 2025 vs. the same period in 2024), an increasingly diverse competitive landscape, and reasoning models are the clear success story of early 2025.”A chart from Poe showing AI model rankings across different categories as of May 2025
Presenting models optimised for AMD (developed in partnership with Stability AI)
When generative AI took off in 2022 following the popularity of ChatGPT, launching a startup on a .ai domain felt like the obvious move. It signaled your company was part of the next wave of innovation.¬†It instantly signaled to investors, journalists, and users that you were building in AI.Now, a shift is happening. Some of the most promising startups in AI are quietly moving away from their .ai domains and switching to .com. It‚Äôs not about trend-chasing‚Äîit‚Äôs about positioning.This isn’t a flood, but it‚Äôs enough to raise eyebrows. And it says something about how branding, trust, and long-term ambition play a bigger role in how startups choose to present themselves.Why Startups Went With .AI DomainsIn the early days, .ai domains were easy to get and made a lot of sense. Short .coms are hard to come by and often expensive