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From AI storyboard to a continuous video scene

A production storyboard is a chain of state changes. Each panel must show what the audience learns, what physically changes, and which visual state the next generated shot inherits.

Method

  1. Give every panel one narrative job: Label the reveal, reaction, decision, consequence, or transition the shot must communicate before choosing a visual style.
  2. Record continuity state: Track character position, gaze, screen direction, wardrobe, props, time of day, and environmental changes across adjacent panels.
  3. Generate the first-frame proof: Use GPT Image 2 or another image model to validate identity, composition, and scene readability before paying for motion.
  4. Write the motion handoff: Describe one action and one motivated camera move, then state the endpoint that the following storyboard panel expects.

Common failure modes

Panels look related but do not cut together

Track screen direction, eyelines, subject size, prop state, and the action endpoint between adjacent shots.

The storyboard over-specifies dialogue

Design the visible action and reaction; keep generated readable text out of the frame and handle dialogue in the story layer.

Video spend happens before the scene works

Approve the narrative job and first-frame proof before submitting a motion generation.

Related generated recipe proofs

Frequently asked questions

Should I generate video before approving storyboard images?

Usually no. First approve identity, composition, scene readability, and continuity in still frames. Motion generation is more expensive and tends to amplify unresolved image problems.

What does Apply to Canvas do?

Apply creates a private Creator Work with an idle image node and the authorized recipe context. It does not submit an image or video generation and spends zero credits.

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