), which I have also shared before.

The following are some application examples:

• Clothing replacement (strictly preserving the mask area)
• Background replacement for ID photos and family portraits (strictly preserving the mask area)
• Person replacement (strictly preserving the mask area)
• Background replacement (strictly preserving the mask area)

I tried it myself, and the results were pretty good.

This project is based on multiple technologies. Currently, the technical report for VirtualModel has been released, but other technical details have not yet been disclosed. Let's take a look at VirtualModel first.

ReplaceAnything first defines a new e-commerce marketing human portrait generation task, namely, the generation of person-object interaction images while maintaining object ID consistency (OHG).

is obtained through large language models.

VirtualModel not only outperforms other methods in terms of accurate pose control and image quality but also achieves the display of user-specified product objects by maintaining product ID consistency and enhancing the authenticity of person-object interactions.