智能时尚穿搭系统的设计与实现

Design and Implementation of Intelligent Fashion Outfit System

摘要: 在当前时尚穿搭社区智能化功能不足、用户个性化需求难以满足的背景下，本文设计并实现了一款基于人工智能的时尚穿搭社区系统。系统采用Vue前端框架与Flask后端架构，结合SQLAlchemy ORM与RESTful API设计，并集成FLUX.1模型以实现智能穿搭生成。该系统支持用户进行AI穿搭生成、图文分享与浏览，同时提供管理员后台管理功能。论文从系统设计、关键技术实现与功能验证等方面展开论述，设计合理的测试方案，性能压力测试表明，在100并发用户持续访问下，系统平均响应时间为285 ms，吞吐量稳定在125 req/s，且无服务宕机，证实了其良好的稳定性，图像生成效率良好，为智能化穿搭社区的构建提供了有效参考，具备较高的应用价值。

Abstract: Against the backdrop of insufficient intelligent features in current fashion styling communities and the difficulty in meeting users’ personalized needs, this paper designs and implements an AI-powered fashion styling community system. The system adopts a Vue.js frontend framework and a Flask backend architecture, utilizes SQLAlchemy ORM and RESTful API design, and integrates the FLUX.1 model for intelligent outfit generation. It supports users in AI-generated outfit creation, image-text sharing, and browsing, while also providing administrator backend management functionalities. The paper elaborates on the system design, key technology implementation, and functional verification. A well-designed testing scheme was implemented, with performance stress tests indicating that under a sustained load of 100 concurrent users, the system maintains an average response time of 285 ms and a stable throughput of 125 req/s without service downtime, confirming its robust stability. The image generation efficiency is demonstrated to be effective. This work provides a valuable reference for constructing intelligent fashion communities and possesses significant practical application value.