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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.

sourceHugging Faceupdated 6mo agoView on Hugging Face
0likes28downloads
6 commits on main
bb4e3e66mo ago

Update: 100-round multi-agent debate + catalog_v2 + retrieval_engine + session resume

jasonfan
7536a706mo ago

Add video: IU8mjG5xtvU 1440p best quality

jasonfan
b123c166mo ago

Add video: IU8mjG5xtvU 720p (314MB)

jasonfan
8af446b6mo ago

Single ZIP: full conversation code + debate logs + try-on outputs (3.1MB)

jasonfan
01ca8a76mo ago

YouTube fashion analysis + FASHN VTON try-on + 120-round multi-agent debate (rounds 1-64 complete)

jasonfan
c614e2f6mo ago

initial commit

jasonfan