Kling AI video prompt builder
Kling produces its most stable, cinematic clips when the prompt is structured: one subject, one dominant motion, a defined camera trajectory, and a clear scene. This builder assembles those parts into a clean prompt and estimates the motion-stability and credit cost before you spend generations.
How it works
A strong Kling prompt reads as a single visual sentence: subject + action +
environment + camera move + style. The builder joins your inputs in that order
and computes a rough motion score — the more independent motions you stack
(fast action plus a moving camera plus scene changes), the lower the stability
and the more likely you’ll see morphing or temporal flicker. It also estimates
credits from duration × resolution × model, since Kling bills roughly per
second and charges more for 1080p and the Pro model.
Tips for cleaner Kling clips
- One motion per clip. “A wolf walks slowly through snow” beats “a wolf runs, jumps, then howls”. Chain shots in a sequence instead.
- Always state the camera. “Slow dolly in” or “static locked shot” keeps the background coherent; an unstated camera lets Kling drift.
- Repeat consistency tokens. Phrases like same character, consistent lighting, 35mm film reduce frame-to-frame change.
- Shorter is steadier. A 5-second clip holds together far better than 10 seconds of the same prompt — generate short, then extend.