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whiteboard-video

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Generate smooth hand-drawn whiteboard and story videos directly inside Codex from text scripts, GPT Image 2 color storyboards, scene plans, SVGs, line art, or local images. Supports 30 built-in visual styles, automatic recommendations, custom media recipes, natural-block coarse/detail drawing with block-local or whole-scene color reveal, local image-to-line-art extraction, stroke/path drawing, hand/pen-tip following, narration/TTS including Doubao Voice 2, and FFmpeg composition.

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# Whiteboard Video

Use this skill to create local-first whiteboard videos without Canva. This skill is an adapter for the separately installed `whiteboard-video-engine` Python package. Uploaded photos and dense illustrations are converted to line art locally; do not use GPT Image 2 to generate final line art. For script-driven story videos, keep one registered asset pair per scene: GPT Image 2 creates the **color storyboard**, then a local neural extractor derives line art from that exact color file. The preferred stack is:

1. `gpt-image-2` for full-color storyboard frames only, never production line art or embedded captions.
2. `Informative Drawings` local model, preferably `anime_style`, for registered line-art extraction.
3. `Anime2Sketch` local model for illustration/anime-like sources or as the neural fallback.
4. Optional `vtracer` SVG vectorization when installed.
5. Optional Doubao Voice 2 (`seed-tts-2.0`) or Edge TTS for narration. Keep the default sidecar SRT for editing, or explicitly use `--burn-subtitles` for a ready-to-publish subtitled MP4.

There is no edge-detection fallback. If neither neural model is installed, `extract-lineart` and `render-photo` must fail instead of silently producing a weak outline.

## Quick Start
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