jasonfan/youtube-fashion-vton
YouTube Fashion Analyzer + Multi-Agent Virtual Try-On End-to-end pipeline: YouTube video → outfit identification → product matching → AI virtual try-on, iteratively improved by a 120-round multi-agent debate (kimi-k2.5 × gpt-5.3-codex × gpt-5.4 × Claude Opus arbiter). What This Is This project analyzes the YouTube video "The Most UNHINGED Asian Reality Dating Show" by Jimmy Zhang, identifies the 4 male contestants' outfits, finds matching Uniqlo/New Balance… See the full description on the dataset page: https://huggingface.co/datasets/jasonfan/youtube-fashion-vton.
Update: 100-round multi-agent debate + catalog_v2 + retrieval_engine + session resume
Add video: IU8mjG5xtvU 1440p best quality
Add video: IU8mjG5xtvU 720p (314MB)
Single ZIP: full conversation code + debate logs + try-on outputs (3.1MB)
YouTube fashion analysis + FASHN VTON try-on + 120-round multi-agent debate (rounds 1-64 complete)
initial commit
