AI Comic Drama Storyboard Analysis

Problem

When converting novels, scripts, or plot summaries into storyboard inputs for AI video generation, teams often face unstable pacing, inconsistent character appearance across shots, background images contaminated by characters, and prompts missing duration and lighting constraints. AI Comic Drama Storyboard Analysis targets this upstream production step by turning narrative material into executable storyboards, character reference prompts, and scene reference prompts.

How It Works

• Storyboard generation: It reads the supplied novel excerpt, script, or plot description and outputs four segments, each 15 seconds long and containing at least six shots. Every shot must include a duration field, and the total duration of all shots in one segment should be 15 seconds (±0.5 seconds). Each segment should also end with a hook, such as suspense or a reversal.
• Character prompt generation: It extracts protagonists, supporting roles, and background characters from the storyboard and generates style-consistent prompts for each character. A standard output includes a front-facing A-pose full-body prompt, with optional expression, side, or back-view variants to keep the same character stable across shots.
• Scene prompt generation: It merges identical or similar locations, such as a daytime and nighttime living room, and records lighting differences. Scene prompts must include the constraint “no characters should appear in the scene,” and the rendering engine description should remain consistent, for example using UE5 or Octane throughout.

This workflow is useful as a pre-production text pipeline: define shot order, pacing, and dialogue first, then generate character and scene reference images, and finally feed the references plus storyboard into a video generation model.

Boundaries

This skill mainly produces structured text and prompts; it does not directly render images, synthesize video, or audit final output. If the source material lacks enough plot, character, or scene detail, the output quality will be limited. In practice, duration fields act as constraints for downstream video models, and style consistency across character and scene prompts affects visual continuity. For highly custom comic-drama styles, confirm the 3D style, color tone, and rendering engine before batch generation.