Zheng-Chong/CatVTON

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1824 stars · 237 forks observed · 2026-08-28

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

CatVTON is a lightweight diffusion model for virtual try-on that swaps clothing onto a person image using a concatenation-based architecture. It trains only ~49.57M parameters and runs inference under 8GB VRAM at 1024x768 resolution.

Use cases

• try clothes on a photo virtually
• generate images of a person wearing different outfits
• build a virtual fitting room for an e-commerce store
• swap garments between person images
• run lightweight image-based clothing try-on on a single GPU
• research diffusion-based image editing for fashion

When to choose

• you need efficient image-based virtual try-on with limited GPU memory
• you want a published, peer-reviewed try-on model (ICLR 2025)
• you need parameter-efficient fine-tuning of a try-on diffusion model
• you want a Gradio demo or Hugging Face integration for try-on

When to avoid

• you need video try-on - use the successor CatV2TON instead
• you need a commercially licensed model - it is CC BY-NC-SA 4.0 (non-commercial)
• you need full-body or high-resolution generation beyond 1024x768
• you have no GPU available

Facets

library · maturity active

image-processing machine-learning deep-learning llm-inference computer-vision image-processing e-commerce artificial-intelligence deep-learning python virtual-try-on diffusion-models fashion stable-diffusion image-generation gradio iclr-2025 gpu linux docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Zheng-Chong/CatVTON")