Home / Skills / model-try-on

model-try-on

xianyu110/ecommerce-image-skillsSkill

Dress a model in a real garment or accessory from a flat-lay, hanger or mannequin photo (on-model / virtual try-on) while preserving fabric, colour, fit, prints and logos. Supports pose references, multiple body types and ghost-mannequin output. Use for 模特图, 上身图, 试穿, try-on, on-model photo, apparel and jewellery.

Scanned · 2 to knowSkillSource: GitHubContains scripts
96 stars +21 this week Updated 27d ago License MIT Context ≈82 tokens always loaded
59popular

Why this score

Stars7/35
Usage (forks)2/15
Upkeep25/25
License15/15
Owner history10/10

This repo hosts 10 skills, so its 96 stars are split between them (about 10 each) for scoring.

Popularity score: 59/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank

Security

Scanned Oct 20, 2026 at commit f4566fdc8125, with Cisco's open-source skill-scanner.

What its code does:

  • Reads environment variables and sends network requests with them API clients do this to send your key to the service. Check which service it talks to.scripts/generate.py:76
  • Makes network requestsscripts/generate.py:26 and 2 more

Web addresses in its code:

These are the sites named in the code, so it's where your data could go. It isn't a complete list: code can build addresses while it runs, and a few of these may be links rather than calls. Whatever you send also goes to the AI model you use.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

Alternatives

Nothing from another maker does quite the same job yet.