Morph Studio just partnered with Stability AI to launch an all-in-one AI video creation workflow. The platform allows creators to evolve text, images, or existing clips into stories using multi-parallel generation lines. A waitlist is now live for early access.
AI marketing copilot Jasper just acquired image platform Clipdrop from Stability AI, closing the deal on February 20. The Paris-based team joins Jasper immediately to spearhead multimodal research. Enterprise clients get instant access via the Jasper API, while the standalone consumer app stays live.
Stability AI just announced Stable Diffusion 3 in early preview, calling it its most capable text-to-image model yet. The suite ranges from 800M to 8B parameters and combines diffusion transformer architecture with flow matching to solve messy spelling and multi-subject prompts. A waitlist is now open ahead of an open release.
Stability AI just launched Stable Cascade in research preview, a text-to-image model built on a three-stage compression architecture that cuts fine-tuning costs by 16x compared to Stable Diffusion. Training, ControlNet, and inference scripts are live on GitHub, though it remains under a non-commercial research license.
Stability AI just launched SVD 1.1, an upgraded image-to-video diffusion model tuned for better motion and visual consistency. Based on SVD-XT, it generates four-second, 25-frame clips at 1024x576 resolution from a single still frame. The weights are free for research on Hugging Face, while commercial use requires a paid membership or API access.
Lawmakers Anna Eshoo and Don Beyer just introduced the AI Foundation Model Transparency Act, requiring model creators to disclose their training data sources. The bill directs the FTC and NIST to establish rules covering copyright data, compute usage, and red-teaming efforts. Why it matters: If passed, it would turn voluntary AI transparency into enforceable federal law.
Stability AI just introduced a new membership structure to standardize commercial rights and self-hosted deployment for its open-source models. The program offers a free tier for personal and research use, a $20-per-month Professional plan for commercial self-hosting, and custom Enterprise options. The move gives developers a clear commercial path while funding future model development.
Stability AI just released Stable Zero123, an in-house model that turns single 2D images into novel views and 3D meshes. It improves on Zero123-XL with cleaner training data and camera angle conditioning, delivering a 40x training speedup. Single-view generation needs the same VRAM as SD1.5, though full 3D reconstruction recommends 24GB.
The Stable LM team just released Stable LM Zephyr 3B, a 3-billion-parameter chat model that is 60% smaller than typical 7B alternatives. Tuned with Direct Preference Optimization (DPO), it delivers responsive instruction-following and Q&A on consumer hardware without high-end GPUs. It is currently available under a non-commercial license.
Stability AI CEO Emad Mostaque just pushed back against acquisition rumors, stating the company has never reached out to anyone to be acquired. Mostaque highlighted that the startup maintains simple governance, works with multiple strategic partners with more announcements ahead, and gave shoutouts to Jasper and Cohere.
Stability AI is reportedly shopping itself to buyers as pressure mounts from major investors. Coatue Management recently demanded CEO Emad Mostaque step down, pointing to burn rates around $8M a month against minimal revenue. The startup has approached firms like Cohere and Jasper, though company spokespeople deny an active sale process.
Stability AI just introduced SDXL Turbo, a text-to-image model that generates 512x512 images in just 207ms on an A100 GPU. Using Adversarial Diffusion Distillation, it reduces inference steps from 50 to just one while matching multi-step quality. Why it matters: It brings text-to-image generation into true real-time speeds, though commercial use is not yet permitted.
Stability AI just released Stable Video Diffusion, its first foundation model for generative video. Built on Stable Diffusion, the release includes two image-to-video models capable of generating 14 and 25 frames, with weights on Hugging Face and code on GitHub. It is strictly for research preview right now, but it brings open-source AI into the video race.
Stability AI just introduced Stable 3D, an automated tool that turns text prompts and 2D images into textured .obj 3D models in minutes. Alongside it, the company rolled out an outdoor Sky Replacer tool and enterprise-ready model fine-tuning. For now, Stable 3D is available via private preview.
A federal judge just narrowed the landmark copyright lawsuit brought by visual artists against Stability AI, Midjourney, and DeviantArt. While dismissing claims that all AI outputs automatically constitute infringing derivative works, the court allowed direct infringement claims over model training against Stability AI to proceed. The artists will have a chance to amend their complaint.
Stability AI just announced that CEO Emad Mostaque will attend the UK Government's AI Safety Summit at Bletchley Park. As a prominent open-source player, the company plans to push policymakers to support safety across the entire ecosystem—advocating that open models keep AI benefits from being monopolized by Big Tech.
Researchers at the University of Chicago just unveiled Nightshade, a tool that lets artists add invisible pixel tweaks to their work before posting online. If scraped into AI training sets, the poisoned samples corrupt the model into swapping concepts—like turning dogs into cats or handbags into toasters. It aims to force tech giants to respect copyright, with an open-source release planned.
Stability AI just released an experimental version of Stable LM 3B, a compact 3-billion-parameter language model tailored to run locally on laptops and handhelds. Despite its small footprint, it outperforms prior 3B models and even beats some 7B open-source models on common reasoning benchmarks. The base model is open-sourced under CC-By-SA 4.0 on Hugging Face, with an instruction-tuned variant coming soon.
Stability AI just launched Stable Audio, its first generative AI product for music and sound effects. Built on latent diffusion models trained on licensed AudioSparx tracks, it renders 44.1 kHz audio from descriptive text prompts and duration limits. A free tier generates up to 45 seconds of audio, while the Pro tier offers 90-second commercial tracks.
The creators of Würstchen just released a lightweight text-to-image diffusion model that drastically reduces training and inference costs. By pushing latent spatial compression to an unprecedented 42x, it generates images faster than SDXL while slashing training compute down to 9,000 GPU hours compared to SD 1.4's 150,000. It makes training and running custom image models accessible without a farm of A100s.
