Outfit Anyone - Alibaba's open-source one-click virtual try-on project

Outfit Anyone is an open-source project launched by Alibaba Research Institute of Intelligent Computing, offering high-quality virtual try-on for clothing. This technology allows users or models to preview how clothes look on them without physically trying them on. Outfit Anyone employs a two-stream conditional diffusion model to process models, clothing, and text prompts, using clothing images as control factors to achieve a more realistic virtual try-on effect. This technology makes it easier for users to explore and select clothing that suits them, while also providing fashion designers and retailers with new creative and marketing tools.

Outfit Anyone's Features

• Low image input requirements: Users only need to provide a flat lay image of the clothing to generate a virtual try-on effect of the clothing on a model.
• High-quality virtual try-on output: The system can generate high-quality virtual try-on effects, with clothing details and skin textures rendered very realistically.
• Outfit 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 excels at handling garment deformation and can adjust the model's pose and body shape as needed.
• Wide applicability: Outfit Anyone can handle a wide range of images, from anime to the real world, making it highly adaptable.
• Supports different body types for trying on clothes: The system can adapt to models of various body types, including fit, curvy and petite, providing a personalized try-on experience.
• When used in conjunction with Animate Anyone: Outfit Anyone can also be used in conjunction with the Animate Anyone algorithm to first perform a virtual try-on of clothing, and then generate a dance video of the model wearing the new outfit.

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 the Hugging Face community:

1. Access Outfit Anyone's ModelScope demo https://modelscope.cn/studios/DAMOXR/OutfitAnyone Or Hugging Face demo https://huggingface.co/spaces/HumanAIGC/OutfitAnyone
2. Select an AI model, upload or select a top and bottom, then click Run.
3. The synthesized fitting effect will be displayed after a short wait.

Application scenarios for Outfit Anyone

1. For ordinary consumers: Consumers can preview how clothing will look on them without actually trying it on, providing a completely new shopping experience.
2. Fashion designers: Designers can use this technology to showcase their designs, attract potential clients through virtual try-ons, or quickly test and adjust garment styles during the design process.
3. Models: For models, Outfit Anyone can reduce the time and cost of actually trying on clothes, while providing a variety of try-on effects to help them showcase different styles of clothing in a virtual environment.
4. E-commerce professionals: For merchants with limited budgets, Outfit Anyone can be used to customize promotional images, showcasing how clothing looks on the user and saving on the cost of hiring models.