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Homme en noir fuit à travers une foule qui le poursuit
Course-poursuite cinématographique : un homme en noir s'enfuit à pleine vitesse de ses poursuivants, renverse un étal de fruits au passage et continue de courir tandis que la foule panique.
Texte du prompt
The camera follows the man in black as he flees quickly, followed by a group of people chasing him. The camera switches to side tracking. The character panics and knocks down a fruit stand on the roadside, gets up and continues to run away. The crowd makes panicked sounds.
Entrée de référence
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Tout voir →What this shot looks like
A man in a black coat sprints from a chasing crowd. The camera tracks behind him, then switches to a side-tracking move as he knocks over a roadside fruit stand mid-stride, picks himself up, and runs on. Panicked voices and the clatter of spilled produce fill the soundscape.
It's a compact action-film grammar exercise: protagonist flight, environmental destruction, and a camera-angle switch — all in one prompt.
When to use it
This is a strong evaluation prompt for AI video models:
- Chase-sequence test — does the model hold subject continuity (same coat, same silhouette) across the camera cut?
- Physical-object interaction — knocking over a fruit stand requires fruit, stand, momentum, and a recovery beat
- Directed sound test — many models still under-deliver on prompted ambience; this one explicitly asks for crowd panic noise on top of the action
Tips for customizing
- Swap "black coat" with another wardrobe call (red hoodie, white shirt) to test how rigidly the model honours costume detail
- Replace "fruit stand" with a different obstacle (newsstand, bicycle, café table) — same beat, different physics
- Add a city tag ("Hong Kong wet market", "Tokyo back alley") to test cultural set-dressing
Related
- More cinematic video prompts
- See all video models we've tested