Outfit AnyoneIt is an open source project for high-quality virtual clothing try-on launched by Alibaba Intelligent Computing Research Institute. With this technology, users or models can preview the effect of wearing clothes without trying them on in person. Outfit Anyone uses a two-stream conditional diffusion model to process models, clothing and text prompts, and uses clothing images as control factors to achieve a more realistic virtual try-on effect. Through this technology, users can more easily explore and choose clothes that suit them, and it also provides new creative and marketing tools for clothing designers and retailers.
Outfit Anyone Features:
Low image input requirements: Users only need to provide a flat image of the clothing to generate the effect of the clothing being tried on a model.
High-quality fitting output: The system is able to generate high-quality fitting effects, with clothing details and skin textures appearing very realistic.
Clothing matching 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 well in handling clothing deformation and can adjust the model's pose and body shape as needed.
Wide range of applications: Outfit Anyone can handle a variety of images from animation to real world, and is highly adaptable.
Support for fitting for different body types: The system can adapt to models of various body types, including fitness, curvy and petite, to provide a personalized fitting experience.
Use with Animate Anyone: Outfit Anyone can also be used with algorithms to perform virtual try-ons of clothing and then generate videos of models dancing in new clothing.
Official website address:https://huggingface.co/spaces/HumanAIGC/OutfitAnyone