The Collective Gen. Campaign
AI Visual Production
Digital IP & Commercial Modeling
Multi-Model AI
Heavy Prompt Engineering
Licensed IP
Production Ready
Location Not Relevant (Global Asset)
2024
The development of a custom, unique model face for commercial use, generated through multiple AI generation engines and validated through heavy prompt engineering to produce licensed, production-ready marketing visuals for an e-commerce tote bag company.
Summary
This was a groundbreaking technical project focused on solving intellectual property (IP) and consistency challenges in digital modeling. We leveraged multiple AI models to achieve the desired hyper-realistic aesthetic and used sophisticated prompt engineering to maintain the unique model face across various poses, outfits, and lighting conditions. The final output included four high-quality, studio-style visuals used as core e-commerce and advertising assets, granting the client proprietary, fully licensed visual IP.
Challenge
The key challenge was technical: creating a consistent, commercially licensed human face that could be reliably reproduced across hundreds of future product shots, ensuring the brand did not face IP infringement issues common with stock AI-generated images. Achieving this required advanced prompt iteration and fine-tuning across different generative platforms.
Solutions
Multi-Model Engineering: Used a workflow involving multiple generative engines to first create the base model identity, and then fine-tune the final output quality, composition, and aesthetic (high-contrast studio lighting, luxury car props) for production use.
Proprietary IP Creation: Successfully generated and licensed the custom model face, providing the client with a unique, repeatable model identity that is exclusive to their brand, drastically lowering future marketing costs and avoiding legal risks.
Aesthetic Consistency & Production Proof: The resulting images prove the model's reliability in handling complex scenarios (e.g., different clothing, posing with props, varying angles like the wide-angle floor shot in Image 4), confirming the viability of this AI workflow for rapid, high-quality asset creation.
