# HumanAIGC/OutfitAnyone

Outfit Anyone: Ultra-high quality virtual try-on for Any Clothing and Any Person

Repository: https://github.com/HumanAIGC/OutfitAnyone
Canonical: https://ross.abutalabs.com/products/outfitanyone
License Family: other
Last push: 2024-07-26T10:35:32+00:00

## Health v2 (maintenance only)
Score: 26/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 71
- inputs: {"age_days": 995, "days_push": 768, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5984, forks 455 (observed 2026-08-28T04:09:33.988350+00:00)

## What it is
OutfitAnyone is an Alibaba research project providing ultra-high quality AI virtual try-on, letting users visualize any clothing on any person image. The repository mainly hosts a paper, project page, and hosted demos on ModelScope and Hugging Face rather than runnable source code.

## Use cases
- try clothes on a photo virtually
- generate virtual try-on images for e-commerce
- see how a garment looks on different body types
- research virtual try-on models
- demo outfit visualization with AI

## When to choose
- you want a hosted demo of state-of-the-art virtual try-on
- you're researching clothing transfer / try-on generation
- you need a citation-quality reference for try-on research

## When to avoid
- you need runnable source code or a local deployment
- you need a permissive license for commercial use
- you want to try on your own personal photos (uploads are clothing-only)

## Facets
- artifact type: application
- maturity: experimental
- function: image-processing, machine-learning, deep-learning
- domain: computer-vision, image-processing, artificial-intelligence, e-commerce
- platform: python
- tags: virtual-try-on, fashion, generative-ai, diffusion-models, demo-only, no-license, gpu, web-server

## Member repositories
- HumanAIGC/OutfitAnyone (main) score 26

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:33.988350+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:49:52.539292+00:00, confidence not recorded.
  - readme: https://github.com/HumanAIGC/OutfitAnyone (fetched 2026-08-28T04:09:33.988350+00:00, sha 79967c29bae2)
- Data as of 2026-08-30T08:39:29.467469+00:00.