Abstract
Generative artificial intelligence for image synthesis can face challenges in commercial applications, such as generating images with structural artifacts or recommending products that are not commercially available. The disclosed technology describes a multi-agent orchestration framework that may address these issues. The framework can coordinate a stylist agent, which handles aesthetic composition based on user intent, and a merchant agent, which can apply real-world constraints by validating product data, such as live inventory, against enterprise datastores. The system may also employ a hierarchical sequential compositing protocol to render images in a layer-by-layer sequence. This approach may produce an output that is stylistically sound and commercially viable, and may have improved physical plausibility by balancing creative goals with business logic.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Gurnaney, Kirti, "Multi-Agent Orchestration for Commercially Grounded Image Generation", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10323