News
Stability AI Joins Thorn and All Tech Is Human to Enact Child Safety Commitments for Generative AI
We have joined Thorn, All Tech is Human, and other leading companies in the effort to prevent the misuse of generative AI technologies to perpetrate, proliferate, and further sexual harms against children.
Stable Diffusion 3 API Now Available
We are pleased to announce the availability of Stable Diffusion 3 and Stable Diffusion 3 Turbo on the Stability AI Developer Platform API.
MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data
Continuing research into neuroscience and machine learning, today MedARC releases a state-of-the-art fMRI-to-image reconstruction model that is shown to work well with just 1 hour of training data.
Introducing Stable LM 2 12B
Introducing the latest additions to our Stable LM 2 language model series: a 12 billion parameter base model and an instruction-tuned variant, trained on 2 trillion tokens in seven languages: English, Spanish, German, Italian, French, Portuguese, and Dutch. This medium-sized model balances strong performance, efficiency, memory requirements, and speed, following our established Stable LM 2 1.6B framework as detailed in our previously released technical report.
Introducing Stable Audio 2.0
Today, we are pleased to introduce Stable Audio 2.0. This model enables high-quality, full tracks with coherent musical structure up to three minutes long at 44.1 kHz stereo from a single natural language prompt.
Introducing Stable Code Instruct 3B
Stable Code Instruct 3B is our latest instruction-tuned large language model, built on top of Stable Code 3B. This model enhances code completion and supports natural language interactions, aiming to improve the efficiency and intuitiveness of programming and software development related tasks. Our analysis suggests that Stable Code Instruct 3B outperforms comparable models such as Codellama 7B Instruct, and DeepSeek-Coder Instruct 1.3B in various coding-related tasks.
Stability AI Announcement
Earlier today, Emad Mostaque resigned from his role as CEO of Stability AI and from his position on the Board of Directors of the company to pursue decentralized AI.
The Board of Directors has appointed Shan Shan Wong, our Chief Operating Officer, and Christian Laforte, our Chief Technology Officer, as the interim co-CEOs of Stability AI.
Image Services on Stability AI Developer Platform
Today we are introducing a powerful suite of image services on the Stability AI Developer Platform API to enhance media creation. Utilizing our cutting-edge image models, these services offer developers and builders comprehensive tools for image generation, enhancement, outpainting, and editing, streamlining the development of user-focused solutions and simplifying high-quality image production without complex prompt engineering.
Introducing Stable Video 3D: Quality Novel View Synthesis and 3D Generation from Single Images
When we released Stable Video Diffusion, we highlighted the versatility of our video model across various applications. Building upon this foundation, we are excited to release Stable Video 3D. This new model advances the field of 3D technology, delivering greatly improved quality and multi-view when compared to the previously released Stable Zero123, as well as outperforming other open source alternatives such as Zero123-XL.
Celebrating One Year of MedARC
A year ago, MedARC was founded with the vision of a novel, open, & collaborative approach to medical AI research. It was created to develop large-scale AI foundation models for medicine & build interdisciplinary teams to address clinical needs with special interest in applying the latest advances in generative AI to medical applications. The team has made significant progress in building towards this vision.
Behind the Compute: Benchmarking Compute Solutions
Our commitment to developing cutting-edge open models in multiple modalities necessitates a compute solution capable of handling diverse tasks with efficiency. To this end, we conducted a performance analysis, training two of our models, including the highly anticipated Stable Diffusion 3.
Stable Diffusion 3: Research Paper
Following our announcement of the early preview of Stable Diffusion 3, today we are publishing the research paper which outlines the technical details of our upcoming model release, and invite you to sign up for the waitlist to participate in the early preview.
Introducing TripoSR: Fast 3D Object Generation from Single Images
We have partnered with Tripo AI to develop TripoSR, a fast 3D object reconstruction model inspired by the recent work of LRM: Large Reconstruction Model For Single Image to 3D. This new image-to-3D model is designed to cater to the growing demands of entertainment, gaming, industrial design, and architecture professionals, with responsive outputs for visualizing detailed 3D objects.
Stable Diffusion 3
Announcing Stable Diffusion 3 in early preview, our most capable text-to-image model with greatly improved performance in multi-subject prompts, image quality, and spelling abilities.
Behind the Compute: Using the New AI Supercomputer
In this installment, we’ll talk about how we plan to utilize this state-of-the-art AI Supercomputer.
This supercomputer ranks among the top 15 globally in terms of sheer power and efficiency.
Stability AI Partners with Jasper in Divestment of Init ML
Today we are pleased to announce the divestment of Init ML, the makers of Clipdrop, to Jasper.
Introducing Stable Cascade
Today marks the launch of Stable Cascade in its research preview. This innovative text to image model introduces an interesting three-stage approach, setting new benchmarks for quality, flexibility, fine-tuning, and efficiency with a focus on further eliminating hardware barriers.
Stability AI Joins U.S. Artificial Intelligence Safety Institute Consortium
Stability AI strengthens its dedication to AI safety and transparency by joining the U.S. Artificial Intelligence Safety Institute Consortium (AISIC) and collaborating with leading organizations across various sectors. This partnership, initiated by the National Institute of Standards and Technology (NIST), aims to foster the safe and responsible development of AI technologies.
Introducing Stable LM 2 1.6B
Today, we are introducing our first language model from the new Stable LM 2 series: the 1.6 billion parameter base model and an instruction-tuned version. The base model is trained on…
Stable Code 3B: Coding on the Edge
Stable Code, an upgrade from Stable Code Alpha 3B, specializes in code completion and outperforms predecessors in efficiency and multi-language support. It is compatible with standard laptops, including non-GPU models, and features capabilities like FIM and expanded context size.