CineGen-AI  by Will-Water

AI Motion Comic and Video Generation System

Created 4 months ago
361 stars

Top 77.8% on SourcePulse

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Project Summary

Summary CineGen AI Director tackles AI video generation's control limitations for motion comics and animatics via an industrial "Script-to-Asset-to-Keyframe" workflow using Google Gemini and Veo models. It grants precise control over character consistency, scene continuity, and camera motion, offering a predictable pipeline for professional AI video production unlike standard text-to-video methods.

How It Works CineGen uses an industrial "Script-to-Asset-to-Keyframe" workflow, surpassing typical text-to-video. Its core is keyframe-driven generation: users define precise start/end frames, with Veo interpolating transitions. Generation is constrained by "character reference images" and "scene concept art," ensuring consistency and preventing artifacts. Powered by Google Gemini 2.5 Flash (logic/vision) and Veo (video), it provides superior narrative and visual control.

Quick Start & Requirements Setup requires Google Gemini API keys and enabled Google Cloud Platform (GCP) billing for Veo API access. The workflow involves script breakdown (Phase 01), character/scene art generation (Phase 02), keyframe creation (Phase 03), and video segment generation. It uses a React 19/Tailwind CSS frontend with IndexedDB for local, backend-independent storage. No direct documentation or demo links are provided.

Highlighted Details

  • Intelligent Scripting: Auto-transforms stories into structured screenplays (scene, timing, atmosphere).
  • Visual Prompt Generation: Creates effective prompts
Health Check
Last Commit

1 month ago

Responsiveness

Inactive

Pull Requests (30d)
0
Issues (30d)
0
Star History
73 stars in the last 30 days

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