Artificial intelligence assisted on seal design: Taking stable diffusion as an example

Abstract

<p>In view of the possible problems of seal design, such as slow design speed, large error rate of seal identification, weak standardization and poor user satisfaction, how to use AI technology to solve these problems and improve the efficiency and automation of seal design is the focus of this research. This article used web crawlers and stable diffusion to collect exquisite seal images as the data source for research, and used median filtering to denoise the collected images. After graying the image using the weighted average method, histogram equalization is used for image enhancement. This article combined artificial intelligence technology and digital certificates to construct an electronic seal, and inputs the constructed electronic seal into the stable diffusion for further processing to obtain the final designed seal. The experiment showed that when the number of seals to be designed was 1, the time required to use stable diffusion for design was 1.11 seconds. At the same time, the average score of seal evaluators designed by stable diffusion in this article was 9.5 points (out of 10 points). With the help of artificial intelligence and stable diffusion, the study on seal design can improve the efficiency and accuracy of design, show good performance and stability in handling complex design tasks, and provide an effective solution to the limitations and efficiency of traditional seal design methods. At the same time, it also enhances the innovation and diversity of design, reduces the design cost, and improves the accuracy and efficiency of automated authenticity identification.</p>