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Character Consistency in AI Filmmaking
This short AI video experiment explores character consistency across multiple environments while maintaining a coherent cinematic language. The focus is on preserving a stable character identity; including age, proportions, and facial structure, while testing camera behavior, framing, and spatial continuity across scenes. Using soft natural daylight and controlled contrast, the visual approach remains grounded and observational, avoiding stylization in favor of realism. Subtle handheld movement and cinematic composition support a natural, filmic feel, while transitions between environments are designed to remain believable and fluid. The workflow combines Nano Banana, Kling, Veo, and After Effects in an iterative process aimed at refining continuity and control. As part of ongoing research into AI-assisted video production, this project investigates how current tools can achieve production-level consistency in character-driven storytelling, with a clear emphasis on visual quality, continuity, and cinematic precision.