  Shear wall structures are widely used in high-rise residential buildings, and
the layout of shear walls requires many years of design experience and
iterative trial and error. Currently, there are methods based on heuristic
algorithms, but they generate results too slowly. Those based on Generative
Adversarial Networks (GANs) or Graph Neural Networks (GNNs) can only generate
single 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, good
generative results can be achieved. Therefore, this paper proposes a
personalized AI assistant for shear wall layout based on Stable Diffusion,
which has been proven to produce good generative results through testing.
