5 Ways to Write Sharper AI Video Prompts
Structure your prompt around subject, motion, and camera to turn vague clips into cinematic shots.
Lead with one clear subject and a single action, then describe the setting: "a lone hiker crossing a snowfield at dawn." Models handle one dominant motion far better than three competing ones, so split complex ideas into separate shots instead of cramming them into a single line.
Name the camera explicitly. Words like "slow dolly-in," "handheld tracking shot," or "static wide angle" control movement that text alone can't imply. Add lens and lighting cues — "35mm, golden-hour backlight, shallow depth of field" — to lock the look and keep frames consistent across a sequence.
Iterate short and cheap: generate 3–4 second test clips, fix what drifts, then extend. On CinderHub you can branch the same prompt across multiple video models and compare outputs side by side, which makes it fast to learn which phrasing each model actually rewards before committing to a longer render.
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