HomeIndustriesLandenahn Gen-4 solves the most important problem of AI video: character consistency... Industries Landenahn Gen-4 solves the most important problem of AI video: character consistency across scenes By admin April 18, 2025 0 120 FacebookTwitterPinterestWhatsApp The recent Gen-4-KI from Runway creates consistent characters in whole videos from a single reference picture through which Openas challenge viral ghibli trend and possibly change the way in which Hollywood makes movies. Read more FacebookTwitterPinterestWhatsApp adminhttp://thisweekinai.news Previous articleDeepseek and other models have a brand new method “sensitive” questionsNext articleAll models are incorrect – an authority in computer modeling explains how engineers make them useful RELATED ARTICLES Industries Barbie manufacturer Mattel works with Openai to make artificial intelligence child games Industries Are machines smarter than risk capital providers? Industries The problem that AI chatbots tell people what they wish to hear Industries Oracle shares jump after an optimistic forecast for the cloud division LEAVE A REPLY Cancel reply Comment: Please enter your comment! Name:* Please enter your name here Email:* You have entered an incorrect email address! Please enter your email address here Website: Save my name, email, and website in this browser for the next time I comment. Must Read AI overviews have transformed the Google search. This is how they work – and the right way to sign off of News AMD -Debüt AMD Instinct MI350 Series Accelerator Chips with 35 -fully higher inference Artificial Intelligence Mitigating AI security threats: Why the G7 should accept the “federated learning” News Barbie manufacturer Mattel works with Openai to make artificial intelligence child games Industries 6 Ways Ai can work with us in creative examination, inspired by the media theorist Marshall McLuhan News KI -Tools sammeln und speichern Sie Daten über Sie von all Ihren Geräten – So ist Sie wissen, was Sie enthüllen Artificial Intelligence KI alphabetization: What it’s, what it doesn't, who needs it and why it’s difficult to define News