Application of Generative Artificial Intelligence in Art Design: Design Process Optimization

Designing programs is a purposeful method of implementing design plans in a scientific manner, playing a key role in normative design processes, improving efficiency, ensuring quality, and guiding creativity in artistic design. However, traditional design processes are often constrained by factors such as human resources, time costs, and experience limitations, resulting in inefficiency and limited creativity. Generative artificial intelligence is providing new possibilities for optimizing design processes. This article proposes an optimized design program strategy that can improve the efficiency of design programs, reduce design costs, and enhance design quality by introducing generative artificial intelligence. In addition, the optimized design program is evaluated from aspects such as the efficiency of process execution, the quality of design results, and the participation and satisfaction of team members to validate the effectiveness of the proposed solution. Findings of this study can help researchers and practitioners develop and optimize models that are more suitable for content output, promoting their application in the field of artistic design.