Better Call CineCrew: Consistent Ultra-Long Narrative-to-Film Generation

Long-form narrative-to-film generation requires shot-level con-trollability and cross-clip consistency in both visual identity and charac-ter behavior—requirements that remain difficult to satisfy with currentprompt-based workflows. A core reason existing workflows remain brit-tle is the lack of a structured intermediate layer between scripts andvideo models, especially when screenplays are underspecified at key cin-ematic decision points. We introduce a structured orchestration layer forfilm-oriented script-to-video generation, implemented as a multi-agentframework that operates between scripts and off-the-shelf video genera-tors. The layer is centered on FilmDSL, a film-oriented domain-specificlanguage that makes cinematic constraints explicit, including shot andcamera directives, asset and continuity requirements, and persona cues,so that agents coordinate through a shared structured specification forplanning, generation, critique, and repair. Specifically, a generation agentconstructs asset packs and storyboard keyframes that anchor composi-tion before clip-by-clip synthesis, while a critic agent produces structuredQA signals and triggers targeted refinement without retraining the basemodel. Experiments on TV-style segments show improved controllabilityand consistency over text-only and reference-only baselines.