AI Burger





Project Overview:
This project began as an internal RiTE experiment exploring how generative AI could be applied to high-end tabletop food advertising. Rather than relying on purely synthetic imagery, we trained a custom LoRA model on real burger photography and lighting setups, teaching the system the visual language of commercial food cinematography.
Working with a food stylist and photographer, we captured reference imagery and camera motion data, then used those inputs to guide the model toward photo-real results. The goal wasn’t to replace craft, but to translate it — preserving the appetite appeal, lighting nuance, and camera movement that make food advertising so visceral.The result was a new hybrid workflow that blends traditional tabletop techniques with generative AI, dramatically reducing production time while maintaining the cinematic quality brands expect.







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