OutfitAnyone

OutfitAnyone

by Alibaba Group
Outfit Anyone is an open-source virtual try-on project by Alibaba that allows users to preview clothing on models without physical try-ons, using advanced AI models for realistic results.

Outfit Anyone - Alibaba's Open-Source Virtual Try-On Project

Outfit Anyone is a high-quality virtual try-on open-source project launched by Alibaba's Intelligent Computing Research Institute. This technology enables users or models to preview clothing effects without physically trying them on. The project employs a dual-stream conditional diffusion model that processes models, clothing, and text prompts, using clothing images as control factors to achieve more realistic virtual try-on effects. This technology allows users to explore and select suitable clothing more easily, while also providing new creative and marketing tools for fashion designers and retailers.

Features of Outfit Anyone

  • Low Image Input Requirements: Users only need to provide flat-lay images of clothing to generate try-on effects on models.
  • High-Quality Try-On Output: The system generates high-quality try-on effects, with realistic details and skin textures.
  • Clothing Combination Support: Outfit Anyone supports the combination of tops and bottoms, handling various clothing styles and creating corresponding matching effects.
  • Flexibility and Scalability: The system excels in handling clothing deformation, allowing adjustments to model poses and body shapes as needed.
  • Wide Applicability: Outfit Anyone can process images from anime to the real world, with strong adaptability.
  • Support for Different Body Types: The system adapts to various body types, including athletic, curvy, and petite, providing personalized try-on experiences.
  • Integration with Animate Anyone: Outfit Anyone can be used in conjunction with the Animate Anyone algorithm, allowing users to first perform virtual try-ons and then generate dance videos of models wearing the new clothing.

How to Use Outfit Anyone

The official project homepage for Outfit Anyone is: https://humanaigc.github.io/outfit-anyone/. Currently, users can experience it online through ModelScope or Hugging Face communities:

  1. Visit the Outfit Anyone ModelScope demo https://modelscope.cn/studios/DAMOXR/OutfitAnyone or the Hugging Face demo https://huggingface.co/spaces/HumanAIGC/OutfitAnyone.
  2. Select an AI model, upload or choose tops and bottoms, then click "Run".
  3. Wait a moment for the synthesized try-on effect to appear.

Applications of Outfit Anyone

  1. Consumers: Consumers can preview how clothing will look on them without physically trying it on, offering a new shopping experience.
  2. Fashion Designers: Designers can use this technology to showcase their designs, attract potential customers with virtual try-on effects, or quickly test and adjust clothing styles during the design process.
  3. Models: For models, Outfit Anyone reduces the time and cost of physically trying on clothing while providing diverse try-on effects, helping them showcase different styles in a virtual environment.
  4. E-commerce Professionals: For businesses with limited budgets, Outfit Anyone can be used to change outfits in promotional images, showcasing clothing effects and saving costs on hiring models.

Features & Capabilities

What You Can Do
Virtual Try-On Clothing Simulation Image Generation
Categories
Virtual Try-On AI Fashion Open Source Image Generation Fashion Technology Clothing Simulation E-commerce AI Models Diffusion Models Realistic Rendering
Example Uses
  • Consumers previewing clothing
  • Fashion designers showcasing designs
  • Models trying on virtual outfits
  • E-commerce professionals creating promotional images

Getting Started

Pricing
free

Screenshots & Images

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