Jane-xiaoer GitHub avatar

paper-collage-ad-codex

Jane-xiaoer

A skill for OpenAI Codex that automates the creation of paper‑collage‑style advertising videos from concept through to final MP4, including script, storyboard, animation, narration, sound effects, and quality check.

Stars

276

7-day growth

No data

Forks

38

Open issues

0

License

MIT

Last updated

2026-07-10

Why it is worth attention

It provides a complete, code‑driven pipeline for producing stylized paper‑cut ads inside Codex, with optional local voice cloning and strong privacy protections—all from a single README and modular scripts.

Who it is for

  • Creative professionals using OpenAI Codex for video production
  • Advertisers and marketers who need rapid prototype paper‑collage ads
  • Developers building automated video generation workflows

Use cases

  • Quickly produce a 45‑second paper‑cut ad from product materials
  • Generate a consistent visual metaphor and storyboard from source text
  • Clone a legally authorized voice locally and synthesize narration with IndexTTS‑2 MLX
  • Assemble and render the final MP4 with background music and sound effects

Strengths

  • End‑to‑end automation from creative concept to MP4 delivery
  • Built‑in local voice cloning (IndexTTS‑2 MLX) that respects privacy
  • Modular design: works with no API keys for basic static frames and synthesis
  • Privacy‑first: excludes voice samples, fingerprints, and brand assets by default

Considerations

  • Requires OpenAI Codex desktop or CLI environment
  • Local voice cloning only supports Apple Silicon Macs
  • Some advanced features (e.g., Seedance, ElevenLabs) need user‑owned API keys and permissions

README quick start

安装到 Codex

Description

Codex skill for complete paper-cut collage ad production, local IndexTTS-2 voice cloning, animation, audio and MP4 QC

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