GenFlow: Interactive Modular System for Image Generation
Duc-Hung Nguyen, Huu-Phuc Huynh, Minh-Triet Tran, Trung-Nghia Le

TL;DR
GenFlow is an innovative modular system that simplifies image generation for users of all skill levels by combining a node-based editor with natural language assistance, making advanced generative art accessible and efficient.
Contribution
It introduces a user-friendly, modular framework with an intelligent assistant that automates workflows, reducing technical barriers in generative art creation.
Findings
Improved workflow optimization and reduced task times.
Enhanced user understanding and interface intuitiveness.
Validated through a user study demonstrating effectiveness.
Abstract
Generative art unlocks boundless creative possibilities, yet its full potential remains untapped due to the technical expertise required for advanced architectural concepts and computational workflows. To bridge this gap, we present GenFlow, a novel modular framework that empowers users of all skill levels to generate images with precision and ease. Featuring a node-based editor for seamless customization and an intelligent assistant powered by natural language processing, GenFlow transforms the complexity of workflow creation into an intuitive and accessible experience. By automating deployment processes and minimizing technical barriers, our framework makes cutting-edge generative art tools available to everyone. A user study demonstrated GenFlow's ability to optimize workflows, reduce task completion times, and enhance user understanding through its intuitive interface and adaptive…
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Taxonomy
TopicsImage Retrieval and Classification Techniques
