Outfit Anyone is an open-source project for high-quality virtual clothing try-on launched by Alibaba's Intelligent Computing Research Institute. With this technology, users or models can preview the wearing effect without personally trying on the clothes. Outfit Anyone uses a dual-stream conditional diffusion model to process models, clothing, and text prompts, using clothing images as control factors to achieve more realistic virtual try-on effects. Through this technology, users can more easily explore and choose clothing that suits them, 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 a flat lay image of the clothing to generate the try-on effect of the clothing on the model.
- High-quality try-on output: The system can generate high-quality try-on effects, with clothing details and skin textures presented very realistically.
- Outfit combination support: Outfit Anyone supports the combination of tops and bottoms, can handle various styles of clothing, and create corresponding matching effects.
- Flexible and scalable: The system performs excellently in handling clothing deformation and can adjust the model's pose and body shape as needed.
- Broad applicability: Outfit Anyone can handle various images from anime to the real world, with strong adaptability.
- Supports try-on for different body types: The system can adapt to models of various body types, including fitness, curvy, and petite, providing personalized try-on experiences.
- Works with Animate Anyone: Outfit Anyone can also be combined with the Animate Anyone algorithm, first performing virtual clothing try-on, then generating a dance video of the model wearing the new clothing.
How to Use Outfit Anyone
Outfit Anyone's official project homepage is:https://humanaigc.github.io/outfit-anyone/, currently users can experience it online through ModelScope or Hugging Face community:
- Visit Outfit Anyone's ModelScope demo https://modelscope.cn/studios/DAMOXR/OutfitAnyone or Hugging Face demo https://huggingface.co/spaces/HumanAIGC/OutfitAnyone
- Select an AI model, upload or select a top and bottom, then click Run to run.
- Wait a moment for the synthesized try-on effect to appear.
Application Scenarios of Outfit Anyone
- Ordinary consumers: Consumers can preview the effect of clothing on themselves without actually trying it on, providing a brand new shopping experience.
- Fashion designers: Designers can use this technology to showcase their design works, attract potential customers through virtual try-on effects, or quickly test and adjust clothing styles during the design process.
- Models: For models, Outfit Anyone can reduce the time and cost of actually trying on clothes, while providing diverse try-on effects to help them showcase different styles of clothing in a virtual environment.
- E-commerce practitioners: For merchants with low budgets, Outfit Anyone can be used to change outfits in promotional images, showcase the wearing effect of store clothing, and save the cost of hiring clothing models.