Storyboard prompts optimized for AI video model workflows.
{ "shot_name": "Aerial Shot (AS) - Car on Dirt Road into Forest", "camera": { "type": "Wide Shot", "movement": "Aerial shot, car turns right off highway onto dirt road, following the car then craning up at the moon in the sky above the forest trees", "lens": "Panavision lenses",
## 作者：[liukaining](https://github.com/liu-kaining)
{ "shot_name": "Aerial Shot (AS) - Car on Dirt Road into Forest", "camera": { "type": "Wide Shot", "movement": "Aerial shot, car turns right off highway onto dirt road, following the car then craning up at the moon in the sky above the forest trees", "lens": "Panavision lenses",
High-speed POV flight of a bee zooming through a sunlit kitchen. Dodging between utensils, diving under plates, weaving through steam. Capturing the frenetic energy and precise navigation of bee flight, with dramatic near-misses and beautiful macro shots of kitchen elements. No text.
## 作者：[liukaining](https://github.com/liu-kaining)
A women's volleyball match in a spacious indoor gym with an arched wooden ceiling and large windows. The stands are full of cheering spectators, and colorful banners hang on the back wall. The blue and green teams exchange intense rallies while players shout to communicate. The green team fails to s
Scene: A dimly lit jazz rehearsal room with cymbals catching key light. Characters: A drumming instructor (60s, intense) and a young drummer (20s, sweating). Action: Instructor critiques drummer's tempo with escalating fury through multiple close-ups on sweating hands, facial expressions, and cymbal
{ "shot_name": "Aerial Shot (AS) - Car on Dirt Road into Forest", "camera": { "type": "Wide Shot", "movement": "Aerial shot, car turns right off highway onto dirt road, following the car then craning up at the moon in the sky above the forest trees", "lens": "Panavision lenses",
High-speed POV flight of a bee zooming through a sunlit kitchen. Dodging between utensils, diving under plates, weaving through steam. Capturing the frenetic energy and precise navigation of bee flight, with dramatic near-misses and beautiful macro shots of kitchen elements. No text.
## 作者：[liukaining](https://github.com/liu-kaining)
A women's volleyball match in a spacious indoor gym with an arched wooden ceiling and large windows. The stands are full of cheering spectators, and colorful banners hang on the back wall. The blue and green teams exchange intense rallies while players shout to communicate. The green team fails to s
Scene: A dimly lit jazz rehearsal room with cymbals catching key light. Characters: A drumming instructor (60s, intense) and a young drummer (20s, sweating). Action: Instructor critiques drummer's tempo with escalating fury through multiple close-ups on sweating hands, facial expressions, and cymbal
Two lovers share their final moments together in the hushed, neon glow of a late-night diner, where the weight of their unspoken words hangs heavier than the coffee between them.
A tag page is the fastest way to find a consistent look. Each prompt here repeats the #drama cue across shots so the model does not drift. That is the core of a reliable ai video generator prompt: a stable style anchor plus a clear action beat per shot.
Use the model variants section to translate the same idea for Sora, Veo, Kling, and Seedream. This keeps your prompt pack reusable and helps you build a repeatable ai video generator prompts workflow for the #drama style.
When you remix, keep the tag as the style lock in every shot. This is the simplest way to keep a consistent ai video generator prompt while you change subjects, locations, or pacing.