LibTV AI Short-Drama Production Workflow

The Problem It Solves

AI short-drama production often breaks down when scripts, characters, scenes, props, and shot prompts are handled separately: a character can drift across shots in hairstyle, costume, or facial expression, a generated scene can lose spatial structure or period feel, and a storyboard image can pack too many actions into one frame. This skill turns the LibTV short-drama process into reusable prompt formulas and checklists, focusing on consistency across assets and shots.

Core Capabilities and Workflow

It covers the main path from outline to image-to-video: define type, theme, protagonist, conflict, and appeal; generate a standard script and a Markdown storyboard; then produce character, scene, and prop assets in a fixed order. Character assets use the costume photo, three-view, and portrait close-up set, with checks for hairstyle, clothing, accessories, facial features, and age or temperament. Scene assets emphasize era, spatial structure, lighting, atmosphere, and style, and distinguish multiple angles of one space from multiple different scenes. Keyframe prompts use asset constraints + visual description + camera angle structure, while video prompts cover subject action, action order, expression and gaze, camera movement, and environmental motion.

Scope and Caveats

It fits AI short drama, AI comic drama, AI ads, and AI micro-films that need continuous shots and recurring characters. It mainly provides prompt structure, generation order, and self-check rules, rather than replacing interface-level operation of LibTV, Seedance 2.0, Kling, Jimeng AI, Doubao AI, or related models. In practice, confirm each asset against the checklist before generating storyboards and video segments. If the project requires realistic performance, complex physical interaction, or long-arc continuity, add manual direction and editing judgment.