可灵AI 官方最新动态：6 Limitations of Current AI Video Generation Technology and Workarounds

来源：可灵AI 官方动态 | 发布日期：2026-09-24T09:00:37.018Z

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Ever spent hours planning a story and its shots, only to see a character’s face change between scenes or a key action disappear? AI video can bring your ideas to life, but repeated fixes can eat up th

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Ever spent hours planning a story and its shots, only to see a character’s face change between scenes or a key action disappear? AI video can bring your ideas to life, but repeated fixes can eat up the time you hoped to save. We’ll break down six limitations of current AI video generation technology, practical workarounds, and where Kling VIDEO 3.0 What Are the Limitations of Current AI Video Generation Technology? AI video can now handle more complex scenes, but consistency, motion, text, and precise control can still break down during generation. From maintaining visual consistency across frames to controlling motion and details, these limitations continue to shape how creators use AI in video production. The table below shows where current AI video generation still falls short, how those issues show up in real projects, and what you can do to work around them. Limited Temporal Consistency and Frame Coherence The model has to preserve lighting, layout, textures, and other visual information across consecutive frames while subjects and cameras are moving. Lighting may shift, background objects can drift, small props may disappear, and textures or body outlines can flicker during a shot. Keep each shot centered on one main action. For more complex scenes, use shorter clips and a reference image to hold the setting and composition in place.

更多技术细节可访问官方原文：https://klingai.com/blog/limitations-of-current-ai-video-generation-technology?tab=all。