Instruction-based garment editing enables precise image modifications via natural language, with broad applications in fashion design and customization. Unlike general editing tasks, it requires understanding garment-specific semantics and attribute dependencies. However, progress is limited by the scarcity of high-quality instruction-image pairs, as manual annotation is costly and hard to scale. While MLLMs have shown promise in automated data synthesis, their application to garment editing is constrained by imprecise instruction modeling and a lack of fashion-specific supervisory signals. To address these challenges, we present an automated pipeline for constructing a garment editing dataset. We first define six editing instruction categories aligned with real-world fashion workflows to guide the generation of balanced and diverse instruction-image triplets. Second, we introduce Fashion Edit Score, a semantic-aware evaluation metric that captures semantic dependencies between garment attributes and provides reliable supervision during construction. Using this pipeline, we construct a total of 52,257 candidate triplets and retain 20,596 high-quality triplets to build EditGarment, the first instruction-based dataset tailored to standalone garment editing. The project page is https://yindq99.github.io/EditGarment-project/.

Reasonable structure design is premised on making the product structure lightweight and green production, therefore through the ANAYS sofLare on the structural design and optimization can reduce the process of product development, and improve the efficiency of product design. ANSYS Workbench was used to analyze the conditions of static, dynamic and fatigue characteristics, the trestle structure parameter optimization, and realized the trestle structure optimization design. The simulation results have shown that the optimized trestle weight reduced about 60% compare to the original casting, reduced more than 20% compared with the original change plan. At the same time, the maximum stress value on focused regional reduced by 30% or more, which makes the structure more reasonable. Then the casting process of trestle optimization structure was simulated to verify the optimized parts production feasibility, and effectively predict the casting structure and casting process design flaws, for further optimization of casting process provides important reference by MAGMA software.