Qinghu Model Outfit Restore
Swaps garments onto existing model photos while preserving pose, lighting consistency, and fabric texture for e-commerce catalog imagery.
Qinghu Model Outfit Restore is an e-commerce agent workflow that replaces clothing on target model photos with new flat-lay or worn garment images while strictly maintaining the model's original pose, natural lighting, and garment drape. Designed to eliminate visual inconsistencies across e-commerce product listings, this skill connects Claude to the LinkPix Qinghu AI engine via the qhkit CLI to automate virtual try-on asset generation, quota estimation, and asynchronous status tracking directly within developer and merchant workflows.
主な機能
01Transparent upfront credit quotation and explicit confirmation before task execution
02High-consistency virtual outfit transfer preserving original model pose and lighting
03Automated parameter validation and CLI-based asset upload and local image compression handling
042 GitHub stars
05Precise garment texture, drape, and detail restoration for production-ready e-commerce images
06Asynchronous generation polling and structured media asset delivery
ユースケース
01Rapidly producing consistent lookbook and marketing imagery for cross-border e-commerce listings
02Virtual try-on visualization for fashion brands converting flat-lay product shots into model images
03Generating multi-colorway or new-season apparel catalog photos without re-shooting models