Why does text-to-video rarely survive beyond prototypes? Philipp Münzner & Eldar Sultanow go to the root causes: orchestration, latency, frame control—and what
Text-to-video models often fail to move beyond prototype stages due to challenges in orchestration, latency, and frame control. To make generative AI video production-ready, especially with Java, developers need to address these core issues. This involves bridging the gap between creative AI output and practical coding implementation. AI
IMPACT Addresses key challenges in making generative AI video tools production-ready, impacting developers and product teams.