wzj177

wzj177 / shop-tryon-skill

Public

一个用于 AI 虚拟试衣的 Agent Skill。用户可以通过“上传服装图/模特图”或“文字描述”快速生成试穿效果图，并可继续生成多角度素材和展示视频。

17
7
89% credibility
Found Apr 02, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A set of scripts enabling AI-based virtual clothing try-on by analyzing garments, generating fitted images on models, creating variants, and producing showcase videos.

How It Works

1
👗 Discover virtual try-on magic

You find a handy tool that lets you see how any outfit looks on a model without real trying-on.

2
📸 Share your outfit photo

Upload a picture of the clothing you want to try, like a shirt or dress from online shopping.

3
🧍 Pick your model

Choose a body type and pose that feels like you, or let it create one automatically.

4
✨ See the outfit come alive

Watch as the clothes perfectly fit the model in realistic photos with natural folds and lighting.

5
🎨 Explore different looks

Generate variations in scenes like street or studio to find your favorite vibe.

6
🎥 Make it move

Turn the best photo into a short video of the model walking and showing off the outfit.

✅ Get ready-to-share results

Download stunning images and videos to visualize your new look or impress friends.

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AI-Generated Review

What is shop-tryon-skill?

This Python agent skill repo turns text descriptions or garment/model images into realistic virtual try-on visuals, including multi-angle shots and showcase videos. Developers drop in CLI commands like `python tryon_runner.py --garment shirt.jpg --model model.jpg` to generate e-commerce-ready assets without custom model training. It solves the hassle of integrating AI try-on for agent github copilot workflows or agent skills marketplaces.

Why is it gaining traction?

It chains garment analysis, image synthesis via Doubao Seedream or Jimeng, and video gen in one pipeline, auto-handling preprocessing and OSS uploads for agent github actions. CLI routes support partial try-on (swap tops/bottoms only) and fallback text-to-image, making it dead simple for agent github copilot vscode extensions or agent skills io prototypes. Low setup via .env keys beats stitching disparate APIs.

Who should use this?

E-commerce engineers prototyping AI-powered product pages with try-on previews. Agent devs building github agent repos for fashion bots, like agent github copilot cli tools or agent skills list entries. Indie hackers validating agent skills marketplace ideas around virtual fitting rooms.

Verdict

Grab it for quick agent skills in fashion AI—CLI delivers polished outputs fast—but with just 17 stars and 0.9% credibility score, expect tweaks for production. Strong docs and tests would make it a no-brainer staple.

(198 words)

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