paipiange/nvzhuang

1407 张 AI 女装参考图集与虚拟试穿网站,支持中英检索、OpenAI Images / Gemini / 豆包及自定义 Base URL、API Key、模型。https://github.com/paipiange/nvzhuang

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一个深色主题的纯净服装参考图集网站,收录 1407 张 人物不入镜的 AI 生成服装图像(2:3 比例),支持中英文双语浏览、多维检索,并配备可选的 AI 一键换装试穿。 系统支持上传真实人像与选中的服装,通过 AI 生图大模型进行衣物迁移换装,实现精准保留面容、贴合人体形态的虚拟试穿效果: 「AI 换装」需要一个后端服务,把服装真实地「穿」到人像上。后端位于 backend/(GoFrame v2),支持多模型可插拔: 前端 AI 试穿页右上角提供「设置中心」,支持两种使用方式: 编辑 backend/manifest/config/config.yaml(模板见 config.example.yaml): 接入任意 OpenAI 兼容的国内生图模型(通义万相、智谱、硅基流动等),加一段即可: 如果你的电脑拥有独立显卡(或局域网有运行 ComfyUI 的主机),可以完全免 Key 使用本地生图: 后端推荐使用 Docker / Docker Compose 部署,无需在宿主机安装…

paipiange/nvzhuang on GitHub A short preview, not the full document.

Read the full README ↗ · Preview checked 2026-10-30T13:34:25.650Z

Inside the original README — Document outline
  1. 拍片哥女装 · AI 服装参考图集 (COSTUME-DB-01)
  2. ⏱️ 10 秒了解本项目
  3. 📸 预览
  4. 👗 AI 换装效果演示
  5. ✨ 功能特性
  6. 🤖 AI 换装(可选功能)
  7. 配置模型
  8. 🎨 ComfyUI 本地离线模式(推荐:零成本、免 Key、超快速度)
  9. 🚀 后端部署(优先推荐 Docker)
  10. 方式一:Docker Compose(推荐,最省心)
  11. 方式二:Docker Run 单命令运行
  12. 方式三:无 Docker 本地运行

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Documentation belongs to its respective authors. Reported project/model license: MIT. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

What this repository does

1407 张 AI 女装参考图集与虚拟试穿网站,支持中英检索、OpenAI Images / Gemini / 豆包及自定义 Base URL、API Key、模型。https://github.com/paipiange/nvzhuang

Repository facts

Owner
paipiange
Primary language
Go
Stars
1,828
Forks
481
Open issues + pull requests
0
License
MIT
Archived
No
Default branch
main
Created
2026-10-29T06:08:00.000Z
Last push
2026-10-31T17:01:39.000Z

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