AnyDoor
This project presents an innovative approach to zero-shot object-level image customization, allowing image personalization without large datasets. Key features include availability of training and inference code, online demo support on platforms such as ModelScope and Hugging Face, and development of robust models for applications like virtual try-on and face swapping. The installation is facilitated via Conda or Pip, utilizing the ControlNet framework, with community contributions enhancing its capabilities. It targets simplifying intricate image generation tasks, providing a vital tool for contemporary image processing.
