GenKOL: Modular Generative AI Framework For Scalable Virtual KOL Generation

2025-09-18

AI Summary

To address the high cost and operational complexity of collaborating with real-world key opinion leaders (KOLs), this paper proposes a modular generative AI framework for efficiently constructing interactive virtual KOL images. The framework decouples four core functionalities—clothing generation, makeup transfer, background composition, and hairstyle editing—enabling flexible module composition and deployment across heterogeneous local and cloud environments. By integrating diffusion models, style transfer, and multimodal image editing techniques, and coupling them with an intuitive visual interface, the system achieves dynamic, fine-grained, and controllable visual content synthesis. Compared to conventional approaches, our method substantially lowers the technical and financial barriers to virtual KOL content creation, improves production efficiency, and enhances personalization and scalability. It establishes an AI-native, production-ready paradigm for brand marketing applications.

Technology Category

• Computer Vision: Computational Photography, Image & Video Synthesis
• Humans and AI: Game Design — Virtual Humans, NPCs and Autonomous Characters
• Natural Language Processing: Generation

Application Category

• Social Networks and Social Media: Generative AI / large language models and their impact on social systems
• Economics, Online Markets and Human Computation: Economic ramifications for generative AI infrastructure and applications
• Search and Retrieval-Augmented AI: Retrieval-Augmented Generation (RAG) and multi-modal RAG

Abstract

Key Opinion Leader (KOL) play a crucial role in modern marketing by shaping consumer perceptions and enhancing brand credibility. However, collaborating with human KOLs often involves high costs and logistical challenges. To address this, we present GenKOL, an interactive system that empowers marketing professionals to efficiently generate high-quality virtual KOL images using generative AI. GenKOL enables users to dynamically compose promotional visuals through an intuitive interface that integrates multiple AI capabilities, including garment generation, makeup transfer, background synthesis, and hair editing. These capabilities are implemented as modular, interchangeable services that can be deployed flexibly on local machines or in the cloud. This modular architecture ensures adaptability across diverse use cases and computational environments. Our system can significantly streamline the production of branded content, lowering costs and accelerating marketing workflows through scalable virtual KOL creation.

Problem

• Reducing high costs and logistical challenges of human KOL collaborations
• Generating high-quality virtual KOL images using generative AI
• Streamlining branded content production through scalable virtual creation

Innovation

• Modular generative AI framework
• Interactive virtual KOL generation system
• Dynamic visual composition capabilities