# ShineChen1024/MagicClothing

Official implementation of Magic Clothing: Controllable Garment-Driven Image Synthesis

Repository: https://github.com/ShineChen1024/MagicClothing
Canonical: https://ross.abutalabs.com/products/magicclothing
Language: Python
License: NOASSERTION
License Family: other
Topics: try-on, virtual-tryon, vton
Last push: 2024-07-29T03:32:56+00:00

## Health v2 (maintenance only)
Score: 26/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 0, release rhythm 35, longevity 67
- inputs: {"age_days": 940, "days_push": 765, "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 1543, forks 154 (observed 2026-08-28T04:05:01.272950+00:00)

## What it is
Official PyTorch implementation of Magic Clothing, a diffusion-based model for controllable garment-driven image synthesis (virtual try-on), published at ACM Multimedia 2024. It generates images of people wearing a reference garment, with optional face identity (IP-Adapter-FaceID) and pose (ControlNet-Openpose) conditioning, and ships Gradio demos.

## Use cases
- generate images of a person wearing a specific garment
- virtual try-on from a clothing photo
- try on clothes while preserving a face identity from a portrait
- pose-controlled garment synthesis using a reference pose image
- run a virtual try-on demo locally with gradio
- research baseline for garment-driven image synthesis

## When to choose
- you need research-grade virtual try-on with text-prompt control over the output
- you want face identity or pose conditioning in addition to the garment
- you want to reproduce or build on an academic paper's method

## When to avoid
- you need a production-ready e-commerce try-on service with commercial licensing (license is non-standard)
- you lack a GPU and cannot run diffusion inference locally
- you need a simple hosted API rather than self-hosted model weights

## Facets
- artifact type: library
- maturity: active
- function: image-processing, machine-learning, deep-learning
- domain: image-processing, artificial-intelligence, e-commerce
- platform: python, cross-platform
- tags: virtual-try-on, diffusion-models, garment-driven-synthesis, stable-diffusion, ip-adapter, controlnet, gradio, research-code, gpu

## Member repositories
- ShineChen1024/MagicClothing (main) score 26

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:01.272950+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 2026-08-30T04:30:39.896075+00:00, confidence not recorded.
  - readme: https://github.com/ShineChen1024/MagicClothing (fetched 2026-08-28T04:05:01.272950+00:00, sha d53d64c4c3c4)
- Data as of 2026-08-30T08:39:29.467469+00:00.