Last updated 08-10-2026
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Outfit Anyone
Outfit Anyone generates virtual try-on images that place any garment onto any person using a two-stream conditional diffusion model. Developed by Alibaba's Institute for Intelligent Computing, it combines a Zero-shot Try-on Network with a Post-hoc Refiner that sharpens clothing and skin texture in the output.
Most virtual try-on demos produce blurry fabric or lose detail at the seams. Outfit Anyone separates model and garment processing into parallel streams that merge in a fusion network, which handles pose changes and body shape variation better than single-stream approaches. It also works on anime characters and in-the-wild photos, not just studio model shots.
Researchers, fashion tech developers, and curious users can try the free Hugging Face demo with preset models and clothing uploads. The demo blocks custom person photos for privacy, so it shows how garments look on AI models rather than on your own image.
Two-stream diffusion model with a Post-hoc Refiner for sharper clothing texture
Handles full outfits, individual garments, and bizarre fashion styles
Generalizes across body types including fit, curvy, and petite figures
Works on real-world photos and anime character images
Free Hugging Face demo with 2,800+ community likes
Integrates with Animate Anyone for outfit changes in motion video
Research-grade try-on quality from Alibaba's Institute for Intelligent Computing
Handles diverse body shapes, poses, and anime characters
Free Hugging Face demo requires no account or payment
Public demo does not accept custom person photo uploads
Research project, not a full commercial SaaS with support
Hugging Face demo may queue during peak usage
Is Outfit Anyone free to use?
Yes. Outfit Anyone offers a free demo on Hugging Face where you upload clothing images and try them on preset AI models. The research code is also open source on GitHub.
Can I upload my own photo to Outfit Anyone?
No. The public Outfit Anyone demo on Hugging Face only accepts clothing uploads and uses preset AI models for the person. This restriction was added to prevent misuse of personal photos.
Who developed Outfit Anyone?
Outfit Anyone was developed by the Institute for Intelligent Computing at Alibaba Group. The research paper was published on arXiv in July 2024.
How does Outfit Anyone work?
Outfit Anyone uses a two-stream conditional diffusion model that processes person and garment images separately, then fuses garment details onto the model representation. A Post-hoc Refiner enhances texture in the final output.
Does Outfit Anyone support anime characters?
Yes. Outfit Anyone generalizes beyond real photos to anime and stylized character images, making it useful for creating new animation character outfits.
Can Outfit Anyone generate video?
Outfit Anyone integrates with Animate Anyone, a pose-to-video model, to produce motion videos where characters change outfits. This combination is demonstrated on the project page.