AI PRODUCTION FLOW

Bypassing legacy post-production with real-time latent consistency and automated segmentation.

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Real-Time Pre-Viz and Beyond

Legacy pre-visualization used to take weeks. We’ve optimized the entire pipeline using Latent Consistency Models (LCM) and StreamDiffusion, allowing for photorealistic image generation at 60+ FPS. We’re moving from 'the masterwork' to 'the interactive stream.' Directors can now iterate on visual styles in a continuous real-time session, seeing 4K results instantly as they move virtual cameras.

01

SAM 2 Video Rotoscoping

The **Segment Anything Model 2 (SAM 2)** has effectively killed manual rotoscoping. By leveraging zero-shot object tracking across video frames, we can segment any object with single-click precision across thousand-frame sequences. This reduces months of manual labor into minutes of automated 'tracking-as-inference.'

02

StreamDiffusion + LCM

Our real-time inference stack uses 1-step distilled models to achieve cinematic fidelity without the render-farm overhead. This is our 'Disruptor's Pipeline'—moving the compute from physics-based correctness to 'latent plausibility' at 10x lower latency.

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Video Model Benchmarking: Sora vs. Kling vs. Runway Gen-3

Which 'Director API' are we using? Our research benchmarks the three leading giants in generative cinematography for production-level stability and physics-aware motion.