GenFlow: Interactive Modular System for Image Generation
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Abstract (arXiv)
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 features. These results position GenFlow as a groundbreaking solution that redefines accessibility and efficiency in the realm of generative art.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 17 of its 27 references that are in the map. First posted on arXiv 26 Jun 2025.
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References · 17
- 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
- 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,297
- 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,503
- 2021Zero-Shot Text-to-Image Generationcited by 4,288
- 2022InstructPix2Pix: Learning to Follow Image Editing Instructionscited by 2,611
- 2023Retrieval-Augmented Generation for Large Language Models: A Surveycited by 2,212
- 2023IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Modelscited by 1,464
- 2024SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agentscited by 567
- 2024WebVoyager: Building an End-to-End Web Agent with Large Multimodal Modelscited by 438
- 2024Magentic-One: A Generalist Multi-Agent System for Solving Complex Taskscited by 232
- 2024G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answeringcited by 223
- 2024OmniParser for Pure Vision Based GUI Agentcited by 198
5 more
- 2020A Decade Survey of Content Based Image Retrieval using Deep Learningcited by 72
- 2024UniMS-RAG: A Unified Multi-source Retrieval-Augmented Generation for Personalized Dialogue Systemscited by 38
- 2023Spellburst: A Node-based Interface for Exploratory Creative Coding with Natural Language Promptscited by 30
- 2017Visual and Textual Programming Languages: A Systematic Review of the Literaturecited by 2
- 2024Generative AI in Multimodal User Interfaces: Trends, Challenges, and Cross-Platform Adaptabilitycited by 2
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