Kling AI keeps ignoring my prompts in videos, how can I make it follow them?

Kling AI may ignore prompts if they are too vague or contain multiple actions in a single instruction, because the model prioritizes dominant visual cues rather than every detail.

Writing short, structured prompts with clear subjects, actions, and environments helps the model interpret what should appear in the video.

You can improve accuracy by adding specific descriptors such as camera angle, motion, lighting, and timing instead of general phrases.

For example, prompts like “close-up shot of a woman walking slowly in a rainy street at night with neon lights” tend to produce more consistent results than broad descriptions.

Another useful approach is limiting the number of elements in a scene and avoiding contradictory instructions.

AI video models like Kling perform better when prompts focus on one clear action or subject instead of complex multi-step narratives.

If the model still ignores parts of the prompt, please feel free to share your experience. You can also file a complaint on our website.