Celine, scalable Workflow for Synthetic Production
In my latest project study, a fictive Celine concept shoot in NYC and Tokyo, I moved beyond simple prompting into a modular, node-based production workflow. This isn’t just an image; it is a scalable architecture applicable to any high-end production.
The methodology is driven by a central “brain” consisting of sophisticated system and user prompts feeding a custom LLM call. Using a Line Splitter, I distribute these precise specifications to generators like Nano Banana Pro, ensuring every iteration follows strict brand rules. This process is structured as a six-step workflow in Krea Nodes.
It begins with orbital physics mapping, generating a 2×2 grid of the model’s face from front, profile, and side views to ensure 360-degree character consistency before the virtual shoot begins. Next, an anatomical pose study utilizes 3×1 vertical panels to lock in head-to-toe posing and full-body proportions. The third step involves high-fidelity garment transformation, where the Celine outfit is developed as a clean fashion collage to preserve textile integrity and tailoring.
This seamlessly leads into subject synthesis, achieving the technical fusion of the locked facial DNA, the anatomical pose, and the high-fidelity fashion assets. Environmental integration follows, merging the synthesized subject with the NYC Subway or Tokyo background while strictly maintaining lighting and shadow logic. The workflow concludes with a 3×3 scenario study, generating a comprehensive photo study of the model and outfit in various scenarios to test composition at scale.
All of this is powered by a specific tech stack: Midjourney handles character genesis for aesthetics and hair characteristics, Krea Nodes manages the structural logic and workflow architecture, and Google’s Flow, via Nano Banana Pro, powers high-volume scenario generation.
This configuration allows for rapid testing of camera angles, lens types, and optics at a significantly higher cost-efficiency, and even makes a video option with Veo 3.1 possible. Ultimately, the hard work is in the development of the system and user prompts. When the workflow is right, the production is infinite and scalable.