One thing I’ve noticed with AI video is that the difficult part isn’t necessarily generating a good-looking clip anymore, but keeping the whole process consistent when you’re moving from an idea to multiple scenes, variations, voice, editing, and eventually something that is actually usable. A workflow that seems to be becoming more practical is combining different AI capabilities instead of treating text to video as the entire process. You might start by developing the visual concept, use image to video when consistency matters, generate multiple shots instead of expecting one prompt to create the finished video, and then handle things like voice, captions, avatars, and editing separately. I’ve also noticed platforms such as Wizstar taking a more consolidated approach by bringing different AI video and creative models into the same workflow instead of requiring users to jump between several services. That makes me curious about whether having multiple models and generation tools in one workflow actually improves the creative process, or simply makes it easier to produce more content without necessarily improving the final result. For people who are actually using AI video for projects, which part of the process still requires the most human input? submitted by /u/OwlZealousideal4779
Originally posted by u/OwlZealousideal4779 on r/ArtificialInteligence