SwiftEdit: Lightning Fast Text-Guided Image Editing via One-Step
  Diffusion
Authors: name: Trong-Tung Nguyen, name: Quang Nguyen, name: Khoi Nguyen, name: Anh Tran, name: Cuong Pham
Organization: Qualcomm

Recent advances in text-guided image editing enable users to perform image
edits through simple text inputs, leveraging the extensive priors of multi-step
diffusion-based text-to-image models. However, these methods often fall short
of the speed demands required for real-world and on-device applications due to
the costly multi-step inversion and sampling process involved. In response to
this, we introduce SwiftEdit, a simple yet highly efficient editing tool that
achieve instant text-guided image editing (in 0.23s). The advancement of
SwiftEdit lies in its two novel contributions: a one-step inversion framework
that enables one-step image reconstruction via inversion and a mask-guided
editing technique with our proposed attention rescaling mechanism to perform
localized image editing. Extensive experiments are provided to demonstrate the
effectiveness and efficiency of SwiftEdit. In particular, SwiftEdit enables
instant text-guided image editing, which is extremely faster than previous
multi-step methods (at least 50 times faster) while maintain a competitive
performance in editing results. Our project page is at:
https://swift-edit.github.io/