In business marketing, an attractive poster is often the first touchpoint to reach consumers. However, for millions of small and medium-sized merchants, limited design resources, high outsourcing costs, and the strict requirement for "minute-level" delivery during sudden events have always been a difficult barrier. Traditional design processes are inefficient and highly homogenized. Although AI generation technology has provided new ideas, ensuring that generated images are not only "visually appealing" but also truly meet commercial standards has become a major industry pain point.

To address this challenge, the intelligent creation team, through long-term exploration, has built a technical closed-loop system covering "generation, editing, and evaluation," and has open-sourced all core achievements in MeiGen-AI repository. This system mainly consists of three core modules: PosterCraft, PosterOmni, and PosterReward, aiming to enable commercial poster design to transition from "manual complicated creation" to "automated intelligent production."

In terms of basic generation capabilities, PosterCraft discards the traditional modular pipeline and adopts an end-to-end unified optimization framework. Through large-scale text rendering optimization and multi-stage reinforcement learning, the model solves the "errors and omissions" issues when AI handles Chinese text, multi-line text, and complex layouts, achieving near-industry-leading accuracy in text rendering. This means AI is no longer just "drawing pictures," but can accurately present product selling points.

To address more complex design scenarios, PosterOmni acts as an "intelligent design assistant." It unifies six design tasks—such as image expansion, completion, aspect ratio adjustment, and style transfer—into one model, without requiring multiple tools to be linked together. Whether it's local refinement based on a reference draft or global layout restructuring, the model can understand and adapt to the visual tone of different industries such as catering and retail while maintaining consistency of the main subject.

Quality assessment serves as the "gatekeeper" of this system. PosterReward, the first reward model specifically designed for poster quality evaluation, builds an automated evaluation standard from composition, color coordination, to atmosphere. It not only handles large-scale online "quality inspection" work but also acts as a reward signal to drive the generation model to continuously evolve, forming a self-improving "generation-evaluation-optimization" closed-loop system.

Currently, this technical system has been successfully applied in real scenarios such as generating meal set images for Meituan Takeout, brand IP design, and platform content governance. By using technology to achieve "creative equity," even merchants without professional design backgrounds can produce marketing materials of professional quality within minutes. This not only redefines the visual marketing approach of local life but also provides a valuable example of AI application in vertical business areas.