Dosljednost likova od scenarija do videozapisa

Multi-scene AI video fails in a predictable way: the hero looks different in every shot.

Storyboard to video is VideoGen's workflow for turning a structured list of scenes into a finished video. The hard part is not generating one good frame. The hard part is keeping the same characters, wardrobe, and style consistent across an entire narrative.

Character grids

Before we generate scene media, we build a character grid: a reference sheet that captures each character's face, body, and outfit from multiple angles. Later scenes use that grid as a visual anchor instead of relying on a text description alone.

Text prompts drift. "A woman in a red jacket" can become five different women across five scenes. A grid gives the model something concrete to match.

Sequential generation

We generate scenes in order. Each later scene can reference earlier approved frames, so identity compounds instead of resetting.

That sequencing is slower than blasting every scene in parallel, but it is the difference between a coherent short film and a slideshow of lookalikes. For storyboard to video, consistency beats raw throughput.

Why this matters for API and product teams

If you are building narrated or character-led video at scale, you need a workflow that treats consistency as a first-class constraint:

• Reference assets for recurring characters
• Ordered generation with carry-forward context
• An editor pass when a scene still drifts

Storyboard to video combines those pieces so you can ship multi-scene videos without hand-fixing identity on every cut.

Try storyboard to video or read the API docs for the `storyboard-to-video` workflow.