A Hybrid Video Production System Ensuring Causal Imperative and Physical Consistency in Diffusion Models

Abstract

The invention relates to a hybrid video production system that provides physical consistency and causal necessity in text-to-video production systems, within the fields of machine learning, AI-based video production systems, diffusion models, physics-informed learning, causal modeling, and hybrid AI architectures. The system described in this invention can be used in software and telecommunications applications developing video content production, AI-based media creation tools, simulation platforms, and personalized digital content production infrastructures.