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Published Jul 18, 2026
7 min read
A Reproducible Script-to-Storyboard-to-AI-Video Pipeline
Turn a script into shot requirements, references, generation jobs, and edit decisions without rerunning the whole film.
Key takeawayA storyboard is the stable contract between a generation model and the edit.
Why this deserves its own decision
Sending an entire script to a model loses shot boundaries, pacing, and asset reuse. A storyboard turns the narrative into independently generated, reviewed, and replaceable units so one failure affects one shot rather than the whole sequence.
Decision framework
- State the narrative purpose of every shot, not only its visuals.
- Approve static composition before paying for expensive video generation.
- Keep one shot ID across script, generation, files, and edit.
Putting it into a ModelRush workflow
A script service outputs the shot list, an image route creates composition boards, and approved shots enter ModelRush video routes. Each request_id binds shot_id, asset version, and target duration. Edit feedback records failure type so only rejected shots rerun.
What to measure after launch
- First-pass video approval after storyboard approval.
- Shots rerun for narrative or composition issues.
- Time from script lock to completed rough cut.
A storyboard is the stable contract between a generation model and the edit.
Next steps
Move straight from this article to model details, current pricing, API documentation, and the Playground.Bring the workflow into your project
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