Existing methods for generating 2D plans based on intelligent systems usually require human-defined rules, and their operations are complex. GANs can solve these problems through independent research and learning. However, they only have generative design research based on a single constraint condition, and whether they can generate a qualified design scheme under many constraints is still unclear. Therefore, this paper develops the M-StruGAN generative model based on the structural design framework of a GAN. Its application research is extended to the 2D-plan layout generation of homestay based on the constraints of hybrid structures, and the feasibility of the method is comprehensively verified through three aspects: image synthesis quality assessment, scheme rationality assessment, and scheme design quality assessment. Experimental results show that the quality of the drawings generated by M-StruGAN is qualified, designers have a high degree of acceptance of the design results of M-StruGAN, and M-StruGAN completed the learning of the critical points of the 2D layout. Finally, through the human–computer interaction application of M-StruGAN, it can be found that compared with traditional design methods, M-StruGAN based on pix2pixHD has high-definition image quality, higher design efficiency, lower design cost, and more stable design quality.

The design of the homestay exposed the problems of single-function layout and poor living experience. Therefore, the purpose of this article is to efficiently grasp the design requirements of the country house and to construct an algorithm for automatically generating the floor plan of the house to improve the design output efficiency. This paper takes the homestays surrounding the Paifang Street scenic spot in Chaozhou, Guangdong Province as an example, crawls the comment data of tourism websites through Python, classifies and constructs a portrait of the living needs of the country homes, analyzes the current pain points and opportunities of the country homes, and generates the subsequent plane personalized Plan the data research work; then combine the preliminary research and field research to put forward the principles of the graphic design of the homestay. The paper proposes a method of the automatic layout of architectural functions based on a generative confrontation network, which can automatically layout the architectural functions of rooms according to the design requirements of different homestays, forming a more complete floor plan.