Research on the Application of AI Painting Technology in Mobile Commerce Design

With the rapid expansion of the mobile commerce industry, the demand for visual design has increased sharply, and the shortage of professional designer has become a bottleneck restricting the development of the industry. In order to solve this contradiction, this paper focuses on the application research of AI painting technology, especially through a series of computer optimization techniques to improve key links such as image preprocessing, model selection and output optimization, so as to better meet the unique needs of visual communication in mobile commerce. In this paper, the image preprocessing is divided into portrait, product and scene, which are classified according to the characteristics of the collected images, and then different LoRA models are trained to match the Checkpoint model to generate images that meet the characteristics of mobile commerce, thus improving the application efficiency and flexibility of AI painting. Through the selection and optimization of these technologies, AI painting technology can more effectively adapted to the production mode of mobile business design, thus improving the work efficiency of the industry, reducing the dependence on human resources, and providing new solutions for the development of the industry.