WordArt Designer API: User-Driven Artistic Typography Synthesis with
  Large Language Models on ModelScope
Authors: name: Jun-Yan He, name: Zhi-Qi Cheng, name: Chenyang Li, name: Jingdong Sun, name: Wangmeng Xiang, name: Yusen Hu, name: Xianhui Lin, name: Xiaoyang Kang, name: Zengke Jin, name: Bin Luo, name: Yifeng Geng, name: Xuansong Xie, name: Jingren Zhou

This paper introduces the WordArt Designer API, a novel framework for
user-driven artistic typography synthesis utilizing Large Language Models
(LLMs) on ModelScope. We address the challenge of simplifying artistic
typography for non-professionals by offering a dynamic, adaptive, and
computationally efficient alternative to traditional rigid templates. Our
approach leverages the power of LLMs to understand and interpret user input,
facilitating a more intuitive design process. We demonstrate through various
case studies how users can articulate their aesthetic preferences and
functional requirements, which the system then translates into unique and
creative typographic designs. Our evaluations indicate significant improvements
in user satisfaction, design flexibility, and creative expression over existing
systems. The WordArt Designer API not only democratizes the art of typography
but also opens up new possibilities for personalized digital communication and
design.