The Google and Nvidia-backed AI video startup Runway is partnering with Getty Images to develop Runway Getty Images Model (RGM), which it is positioning as a new type of generative AI model capable of “providing a new way to bring ideas and stories to life through video” for enterprise customers using copyright compliant means. Targeting Hollywood studios, advertising, media and broadcast clients, RGM will “provide a baseline model upon which companies can build their own custom models for the generation of video content,” Runway explains. Continue reading Runway Teams with Getty on AI Video for Hollywood and Ads

Google-backed AI startup Runway has released Gen-2, an early entry among commercially available text-to-video models. Previously waitlisted in limited release, the commercial availability is impactful, since text-to-video is predicted as the next big bump in artificial intelligence, following the explosion of AI use generating text and images. While Runway’s solution may not be ready to serve as a professional video tool, this is the next step in development of tech expected to impact media and entertainment. Filmmaker Joe Russo recently predicted that within the next two years, AI may have the ability to create feature films. Continue reading Runway Makes Next Advance in Consumer Text-to-Video AI

New York-based Runway is releasing its Gen 2 system, which generates video clips of up to a few seconds from text or image-based user prompts. The company, which specializes in artificial intelligence-enhanced film and editing tools, has opened a waitlist for the new product that will be accessed through a private Discord channel by an audience grown over time. Last year, Meta Platforms and Google both previewed text-to-video software in the research stage, but neither detailed plans to make their platforms public. Bloomberg called Runway’s limited launch “the most high-profile instance of such text-to-video generation outside of a lab.” Continue reading Runway Opens Waitlist for Its Gen 2 Text-to-Video AI System