andyhuo520/digital-human-koubo

This page introduces an external open-source repository. It is not an HDATF product.

What it does

This repository combines agent instructions and scripts for making a talking-presenter video from an authorized photograph and a script or content request. It targets creators producing explainers, tutorials and product introductions, with an edited MP4 as the final output. Presenter references, voice descriptions and prompts are stored in persona.json, while build_tasks.py turns a script into generation-task JSON with estimated duration, resolution and credits. The documented workflow asks for approval of the quote and the first generated segment before generating the rest through Renoise MCP. That script prepares task data and does not itself enforce approval or submit generation requests. Subsequent steps compare whisper transcripts with the script, inspect sampled frames, clean up voices and edit captions and visual elements in Remotion. A complete run needs a skill-capable agent, a Renoise account and remote MCP access, plus local Python, Node, ffmpeg and whisper tooling. The text-behind-presenter effect additionally depends on macOS Apple Vision, so the same effect is not available through that path on every operating system. Account-specific reference materials must be replaced, generated speech and imagery need checking, and faces and voices require permission and AI disclosure. External generation costs and third-party rendering terms must be checked separately; published demonstrations and author-reported accuracy do not establish identical results in another environment.

License

MIT Permissive. Commercial use and changes are allowed if the copyright notice is kept.

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