title: SwiftEdit: Lightning Fast Text-Guided Image Editing via One-Step
    Diffusion
summary: 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/
paper_authors._id: 67566090ae453181a5367717
paper_authors.name: Trong-Tung Nguyen
paper_authors.status: claimed_verified
paper_authors.statusLastChangedAt: 2024-12-09T10:30:50.477Z
paper_authors._id: 640052b2f4ff62c2616af567
paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/640052b2f4ff62c2616af567/PmMNDQtSgdJ_74IFoYdpp.jpeg
paper_authors.fullname: NGUYEN TRONG TUNG
paper_authors.type: user
paper_authors.user: Tung11
paper_authors._id: 67566090ae453181a5367718
paper_authors.name: Quang Nguyen
paper_authors._id: 67566090ae453181a5367719
paper_authors.name: Khoi Nguyen
paper_authors._id: 67566090ae453181a536771a
paper_authors.name: Anh Tran
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-12-09T15:18:05.535Z
paper_authors._id: 64b3eb404c3cc95a7562563d
paper_authors.avatarUrl: /avatars/5313d53807663e3b874391ec3f1a974a.svg
paper_authors.fullname: ANH TRAN
paper_authors.type: user
paper_authors.user: anhtran
paper_authors._id: 67566090ae453181a536771b
paper_authors.name: Cuong Pham
paper_title: SwiftEdit: Lightning Fast Text-Guided Image Editing via One-Step
    Diffusion
paper_summary: 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/
paper_ai_keywords: diffusion-based text-to-image models multi-step inversion one-step inversion framework mask-guided editing attention rescaling mechanism localized image editing