rlawjdghek/StableVITON

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1261 stars · 210 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

StableVITON is the official PyTorch implementation of a CVPR 2024 paper that performs image-based virtual try-on using a pre-trained latent diffusion model. It learns semantic correspondence between clothing and human body via zero cross-attention blocks to generate high-fidelity images of a person wearing a given garment.

Use cases

• generate images of a person wearing a specific garment
• virtual try-on from a person photo and clothing photo
• try clothes on arbitrary person images using SAM segmentation
• research on diffusion-based image editing
• reproduce CVPR 2024 virtual try-on results on VITON-HD

When to choose

• you need state-of-the-art academic virtual try-on with detail preservation
• you want to build on or extend a published diffusion-based try-on model
• you work with the VITON-HD benchmark dataset

When to avoid

• you need a production-ready e-commerce try-on service with support and license
• you lack a CUDA GPU or cannot run heavy diffusion inference
• you need a no-code or hosted solution

Facets

library · maturity stable

image-processing machine-learning deep-learning stable-diffusion computer-vision image-processing artificial-intelligence deep-learning python virtual-try-on diffusion-model latent-diffusion cvpr2024 fashion image-generation research-code linux gpu

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markdown · JSON · MCP: product_card(name="rlawjdghek/StableVITON")