yisol/IDM-VTON

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

5156 stars · 828 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Official implementation of IDM-VTON, an ECCV 2024 paper that improves diffusion models for high-fidelity virtual try-on, swapping garments onto person images in the wild. It provides training and inference code built on SDXL with IP-Adapter, plus dataset preparation for VITON-HD and DressCode.

Use cases

• swap clothing between photos of people
• generate virtual try-on images of garments on a person
• train a diffusion model for image-based clothes try-on
• run virtual try-on on the VITON-HD dataset
• try on dresses or shirts from a product photo onto a model image
• reproduce ECCV 2024 virtual try-on research results

When to choose

• you need state-of-the-art research-grade virtual try-on with fine garment detail preservation
• you want to train or fine-tune a try-on model on VITON-HD or DressCode
• you have GPU resources and are comfortable with research code

When to avoid

• you need a production-ready hosted API or polished end-user app
• you lack a GPU or cannot set up conda environments and large datasets
• you need a permissive license - the license is non-standard

Facets

library · maturity active

image-processing machine-learning deep-learning stable-diffusion computer-vision image-processing artificial-intelligence deep-learning python virtual-try-on diffusion-models eccv2024 garment-transfer sdxl ip-adapter research-code gpu linux

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markdown · JSON · MCP: product_card(name="yisol/IDM-VTON")