Kuaishou’s Kling 4.0 AI Video Model to Launch in October

The differentiator here is not raw resolution but input density: accepting multiple images, clips and named subjects in one task points to multi-shot consistency, the bottleneck that has kept AI video out of professional pipelines. That matters most for advertising, short-form and previsualization workflows where character and scene continuity across takes is the real cost driver. Whether limited early access translates into predictable, repeatable output at that complexity is the open question.