GlyphControl: Glyph Conditional Control for Visual Text Generation Yukang Yang 1 Dongnan Gui 2 Yuhui Yuan

Neural Information Processing Systems 

Recently, there has been an increasing interest in developing diffusion-based textto-image generative models capable of generating coherent and well-formed visual text. In this paper, we propose a novel and efficient approach called GlyphControl to address this task.