Reimagining Residential Planning: A New Paradigm Using Grasshopper Combined with Fine-Tuned Diffusion Models

Rapid global urbanization has increased the demand for residential construction, rendering traditional design methods insufficient. This study proposes an innovative approach integrating parametric techniques with fine-tuning diffusion models to automate the modeling and rendering of residential area planning. Specifically, this method first utilizes Grasshopper programming to develop a parametric design system that can automatically create 3D models of residential areas. Subsequently, a new dataset was constructed to fine-tune the diffusion model, enabling it to generate high-quality renderings that conform to specific architectural styles, types, and viewpoints. The proposed method transforms the traditional scheme refinement, modeling, and rendering processes into a generative design process. In a subjective evaluation of 2880 generated images by ten designers, the proposed method obtained higher scores than Midjourney, DALL E3, and Stable Diffusion in usability (81%), building style consistency (87%), and realism (92%). Results indicate that this method can efficiently generate diverse design options at the preliminary design stage. This study provides a practical workflow for the rapid generation of residential area models and renderings.

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Publication Details

Journal
Buildings
Published
2026-10-13
DOI
https://doi.org/10.3390/buildings16204036
Primary Topic
Architecture and Computational Design
Type
article
Field-Weighted Citation Impact
0.00

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article

Reimagining Residential Planning: A New Paradigm Using Grasshopper Combined with Fine-Tuned Diffusion Models

Junming Chen, Kai Zhang, Xu Zhang
Buildings
Architecture and Computational Design
article

Reimagining Residential Planning: A New Paradigm Using Grasshopper Combined with Fine-Tuned Diffusion Models

Junming Chen, Kai Zhang, Xu Zhang
article en

Abstract

Rapid global urbanization has increased the demand for residential construction, rendering traditional design methods insufficient. This study proposes an innovative approach integrating parametric techniques with fine-tuning diffusion models to automate the modeling and rendering of residential area planning. Specifically, this method first utilizes Grasshopper programming to develop a parametric design system that can automatically create 3D models of residential areas. Subsequently, a new dataset was constructed to fine-tune the diffusion model, enabling it to generate high-quality renderings that conform to specific architectural styles, types, and viewpoints. The proposed method transforms the traditional scheme refinement, modeling, and rendering processes into a generative design process. In a subjective evaluation of 2880 generated images by ten designers, the proposed method obtained higher scores than Midjourney, DALL E3, and Stable Diffusion in usability (81%), building style consistency (87%), and realism (92%). Results indicate that this method can efficiently generate diverse design options at the preliminary design stage. This study provides a practical workflow for the rapid generation of residential area models and renderings.

BuildingsVol. 16(20)
Macau University of Science and Technology (MO), Jinling Institute of Technology (CN), City University of Macau (MO)
Science and Technology Development Fund, Macau University of Science and Technology Foundation
Openalex Percentile: Top 3%
Architecture and Computational Design
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