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digital-human-koubo

by andyhuo520

An agent skill that turns one photo and a short brief into a finished talking-head video with an AI presenter, including script, lip-synced clips, voice clean-up, captions and editing. It is meant for people who want to produce presenter-style videos without filming anyone.

New and promisingUnder two months old. Expect rough edges and fast changes.

View on GitHub

Stars
1.5k +329 a day, est.
Licence
MIT
Runs on
Your computer
Setup
Technical
Language
TypeScript
Age
4 days

What you can do with it

  • Create a consistent AI presenter from one photo and place them in scenes such as a studio or shop
  • Produce a short livestream-style sales ad or product recommendation video from a one-sentence brief
  • Apply one of five editing styles with captions and packaging effects, and render in several languages

Make money with it

Offer short AI-presenter promo or explainer videos to local businesses as a paid service, charging more than the credit cost per video.

An idea, not financial advice. Check the licence before charging for anything built on it.

Ways a business could use it

  • Make product explainer and livestream ad videos without hiring presenters or booking a studio
  • Produce the same video in several languages to reach customers in different markets

Can you use it commercially?

Free to use, change and sell, including in paid products. Keep the copyright notice.

Not legal advice. Read the project's licence file before building a product on it.

Getting it running

You add the skill folder to an agent such as Claude Code, connect the Renoise MCP server through a browser login, and install ffmpeg, whisper and Remotion locally.

Follow the official instructions in the project README.

Things to check

  • Video generation depends on the paid Renoise service and its credits (about 482 credits for a 27-second ad)
  • Text-behind-presenter effect relies on macOS Vision, so it works only on a Mac
  • Using a real person's photo for a digital human raises consent and likeness concerns; AI labelling is advisable
  • Needs several local tools and an agent that supports skills and remote MCP

Who's talking about it

Checked 30 Oct 2026. Summary drafted by AI from the project's README.

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