Current low-impact development (LID) facility layout optimization methods focus too heavily on micro aspects, such as rainwater treatment, the applicability of technical measures, and the construction of individual LID facilities. This narrow focus neglects systemic issues across different scales and regions, resulting in suboptimal outcomes for LID facility layout optimization. Therefore, to improve the optimization of low-impact development facility layouts, different landscape features should be considered to minimize the impact of landscape construction on rainwater discharge and achieve sustainable landscape development. On this basis, a low-impact development facility layout optimization method using the Revit building information model and non-dominated sorting genetic algorithm-III was proposed. The experimental results show that the average peak signal-to-noise ratio of the Revit building information model is 0.057, and the average accuracy is 91.9%, making it more effective in extracting landscape features compared to other algorithms. In addition, after optimization, the reduction rates for biological reservoirs, grass ditches, and permeable pavement facilities were 78%, 59%, and 70%, respectively. Overall, the optimized low-impact development facilities account for 23.1% of the research area. This plan reduces the annual total runoff at the exit of the research area by 86.95%, effectively enhancing the overall performance of the low-impact development facility layout. The proposed layout optimization method, based on the Revit building information model and the nondominated sorting genetic algorithm-III, optimizes the layout of low-impact development facilities according to landscape characteristics. Additionally, this method effectively reduces construction costs and rainwater runoff.