GENERATIVE FILMMAKING AND PRODUCTION 2.0: A White Paper
Description
This white paper presents a comprehensive, battle-tested methodology for directing AI video models in professional cinematic workflows. Moving beyond the limitations of isolated text-to-video prompting, Generative Filmmaking & Production 2.0 introduces the Executive Producer Model and the Still-First Compositing Pipeline.
It details reproducible, post-production-integrated techniques for mitigating camera drift, resolving AI text hallucinations, and maintaining multi-scene character consistency without relying on custom-trained models. Through the rigorous case study of a pharmaceutical spec commercial (Lumivex), the document establishes newly defined cinematic frameworks — including the Pixel Allocation Theorem, the Camera Angle Constraint, and the Reference Frame Formula — alongside precise strategies for modular frame blocking and kinetic match cutting.
Developed without a physical set or crew, this paper serves as a practical, foundational manual for filmmakers, editors, and directors seeking to enforce classical cinematographic discipline upon generative AI systems.
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Generative_Filmmaking_Production_2_0_PUBLISHED.pdf
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Additional details
Related works
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- Video/Audio: https://youtu.be/8AIQkaxWT8w (URL)
References
- Adobe Inc. (2026). Adobe Firefly: Generative AI for Creative Expression. https://www.adobe.com/firefly Google DeepMind. (2026). Veo: High-Quality Video Generation for Creative Professionals. https://deepmind.google/technologies/veo/ Runway AI, Inc. (2026). Runway Gen-4.5: Temporal Consistency in Generative Video. https://runwayml.com Pika Labs. (2026). Pika 2.2: AI-Powered Video Generation. https://pika.art Luma AI. (2026). Luma Ray: Photorealistic AI Video Generation. https://lumalabs.ai OpenAI. (2026). Sora: Creating Video from Text. https://openai.com/sora