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Shear wall structures are widely used in high-rise residential buildings, andthe layout of shear walls requires many years of design experience anditerative trial and error. Currently, there are methods based on heuristicalgorithms, but they generate results too slowly. Those based on GenerativeAdversarial Networks (GANs) or Graph Neural Networks (GNNs) can only generatesingle arrangements and require large amounts of training data. At present,Stable Diffusion is being widely used, and by using the Low-Rank Adaptation(LoRA) method to fine-tune large models with small amounts of data, goodgenerative results can be achieved. Therefore, this paper proposes apersonalized AI assistant for shear wall layout based on Stable Diffusion,which has been proven to produce good generative results through testing.

Constructing a personalized AI assistant for shear wall layout using Stable Diffusion