Commercial-grade poster design demands the seamless integration of aesthetic appeal with precise, informative content delivery. Current automated poster generation systems face significant limitations, including incomplete design workflows, poor text rendering accuracy, and insufficient flexibility for commercial applications. To address these challenges, we propose PosterVerse, a full-workflow, commercial-grade poster generation method that seamlessly automates the entire design process while delivering high-density and scalable text rendering. PosterVerse replicates professional design through three key stages: (1) blueprint creation using fine-tuned LLMs to extract key design elements from user requirements, (2) graphical background generation via customized diffusion models to create visually appealing imagery, and (3) unified layout-text rendering with an MLLM-powered HTML engine to guarantee high text accuracy and flexible customization. In addition, we introduce PosterDNA, a commercial-grade, HTML-based dataset tailored for training and validating poster design models. To the best of our knowledge, PosterDNA is the first Chinese poster generation dataset to introduce HTML typography files, enabling scalable text rendering and fundamentally solving the challenges of rendering small and high-density text. Experimental results demonstrate that PosterVerse consistently produces commercial-grade posters with appealing visuals, accurate text alignment, and customizable layouts, making it a promising solution for automating commercial poster design. The code and model are available at https://github.com/wuhaer/PosterVerse.

翻译：商用级海报设计需要将美学吸引力与精确、信息丰富的内容传达无缝结合。当前自动海报生成系统存在显著局限，包括设计流程不完整、文本渲染准确性差以及商业应用灵活性不足。为应对这些挑战，我们提出PosterVerse，一种全流程、商用级的海报生成方法，可无缝自动化整个设计流程，同时实现高密度且可扩展的文本渲染。PosterVerse通过三个关键阶段复现专业设计：(1) 使用微调LLM根据用户需求提取关键设计元素以创建蓝图，(2) 通过定制化扩散模型生成图形背景以创建视觉吸引力的图像，(3) 采用MLLM驱动的HTML引擎进行统一布局-文本渲染，确保高文本精度和灵活定制。此外，我们推出PosterDNA，这是一个专为训练和验证海报设计模型定制的商用级、基于HTML的数据集。据我们所知，PosterDNA是首个引入HTML排版文件的中文海报生成数据集，实现了可扩展文本渲染，从根本上解决了小尺寸与高密度文本的渲染难题。实验结果表明，PosterVerse能持续生成具有视觉吸引力、文本对齐精确且布局可定制的商用级海报，为商用海报设计自动化提供了前景广阔的解决方案。代码与模型已发布于https://github.com/wuhaer/PosterVerse。