Lemo-Opuscar

### Overview Lemo-Opuscar is an automated, code-driven cinematic animation framework created by lemomo-ai. Unlike generative diffusion models that hallucinate inconsistent visual details frame-to-frame, Lemo-Opuscar utilizes deterministic WebGL and HTML5 Canvas scene-graphs to programmatically composite cinematic title cards, procedural camera motions, typography, and atmospheric lighting. ### Key Capabilities - **Script-to-Scene Parser**: Ingests narrative screenplay scripts and automatically structures hierarchical camera keyframes, scene timings, and voiceover synchronization markers. - **Deterministic Canvas Composition**: Compiles multi-layer scene sequences at 60 FPS in WebGL/Canvas with zero temporal flicker or frame drifting. - **Claude Code Integration**: Designed natively as a Claude Code skill; execute automated generation runs directly through terminal prompts (`/lemo-opuscar render scene-01.json`). - **Export Formats**: Headless Puppeteer and FFmpeg pipeline delivers lossless ProRes 422, MP4, and VP9 video artifacts. ### Repository & Licensing - **Upstream Repository**: [github.com/lemomo-ai/lemo-opuscar](https://github.com/lemomo-ai/lemo-opuscar) - **Creator & Maintainer**: lemomo-ai (LemoLab) - **License**: MIT License (Permissive open source for personal and commercial production) ### Cryptographic Verification & Artifact Metadata - **Archive File**: `lemo-opuscar-v1.0.0.zip` - **Unpacked Distribution Size**: 5.4 KB (5,518 bytes) - **SHA-256 Checksum**: `f7370d1dd57601e074c39b56c7e58e1282dfe12d328dbbc9a81352e9444349d8` - **Integrity Status**: 100% verified against official upstream source release. Free community release.