Controllable Video Generation: How Seedance 2.0 Solves Unpredictable AI Results

Seedance 2.0 Deep Dive: Revolutionizing Control in Multimodal AI Video Generation Core Question: How does Seedance 2.0 utilize multimodal reference mechanisms to solve the industry’s most persistent pain points of “uncontrollability” and “inconsistency” in video generation? As video generation technology evolves from simple “text-to-video” inputs to “multimodal controllable generation,” the biggest headache for creators is often not generating an image, but rather generating exactly what they envisioned. Inconsistent facial features, stiff motions, and an inability to replicate specific camera movements have long been the stumbling blocks preventing AI video tools from entering professional production pipelines. The official launch of Seedance …