LEDITS++: Limitless Image Editing using Text-to-Image Models
On the map: Diffusion models → Image generation, text-to-image and editing
Abstract (arXiv)
Text-to-image diffusion models have recently received increasing interest for their astonishing ability to produce high-fidelity images from solely text inputs. Subsequent research efforts aim to exploit and apply their capabilities to real image editing. However, existing image-to-image methods are often inefficient, imprecise, and of limited versatility. They either require time-consuming finetuning, deviate unnecessarily strongly from the input image, and/or lack support for multiple, simultaneous edits. To address these issues, we introduce LEDITS++, an efficient yet versatile and precise textual image manipulation technique. LEDITS++'s novel inversion approach requires no tuning nor optimization and produces high-fidelity results with a few diffusion steps. Second, our methodology supports multiple simultaneous edits and is architecture-agnostic. Third, we use a novel implicit masking technique that limits changes to relevant image regions. We propose the novel TEdBench++ benchmark as part of our exhaustive evaluation. Our results demonstrate the capabilities of LEDITS++ and its improvements over previous methods.
Key facts. Cited by 147 papers in the map (data through 7 Oct 2026). Placed in Image generation, text-to-image and editing, one of 14 directions in Diffusion models. Builds on 42 of its 52 references that are in the map. First posted on arXiv 28 Nov 2023.
Builds on
42 of 52 references.
Closest ancestors · 15
Same direction, newest first
- 2023Wuerstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion Models1 Jun
- 2023Generating images of rare concepts using pre-trained diffusion models27 Apr
- 2023An Edit Friendly DDPM Noise Space: Inversion and Manipulations12 Apr
- 2023Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models31 Jan
- 2022Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models16 Dec
- 2022InstructPix2Pix: Learning to Follow Image Editing Instructions17 Nov
- 2022Null-text Inversion for Editing Real Images using Guided Diffusion Models17 Nov
- 2022eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers2 Nov
- 2022DiffEdit: Diffusion-based semantic image editing with mask guidance20 Oct
- 2022Imagic: Text-Based Real Image Editing with Diffusion Models17 Oct
- 2022Blended Latent Diffusion6 Jun
- 2022Compositional Visual Generation with Composable Diffusion Models3 Jun
3 more
Other references · 27
- 2020Denoising Diffusion Probabilistic Modelscited by 20,851
- 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
- 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
- 2014Microsoft COCO: Common Objects in Contextcited by 17,498
- 2020Denoising Diffusion Implicit Modelscited by 9,655
- 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 8,964
- 2022Classifier-Free Diffusion Guidancecited by 5,717
- 2023SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesiscited by 4,290
- 2022LAION-5B: An open large-scale dataset for training next generation image-text modelscited by 4,131
- 2014Deep Learning Face Attributes in the Wildcited by 3,679
- 2022Prompt-to-Prompt Image Editing with Cross Attention Controlcited by 2,409
- 2022An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversioncited by 2,231
15 more
- 2022DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Stepscited by 1,961
- 2021SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equationscited by 1,903
- 2022DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Modelscited by 924
- 2023Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inferencecited by 826
- 2023MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editingcited by 722
- 2022On Distillation of Guided Diffusion Modelscited by 721
- 2023Erasing Concepts from Diffusion Modelscited by 530
- 2021Image Segmentation Using Text and Image Promptscited by 509
- 2023Zero-shot Image-to-Image Translationcited by 503
- 2022Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Modelscited by 501
- 2023UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Modelscited by 441
- 2022Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scalecited by 262
- 2023Break-A-Scene: Extracting Multiple Concepts from a Single Imagecited by 230
- 2023Fair Diffusion: Instructing Text-to-Image Generation Models on Fairnesscited by 149
- 2023DiffusionWorldViewer: Exposing and Broadening the Worldview Reflected by Generative Text-to-Image Modelscited by 2
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Citing papers per year: 2023: 2; 2024: 40; 2025: 50; 2026: 55.
147 papers.
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- 2024Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attentioncited by 55
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- 2026Toward 360-Degree Indoor Panorama Editing via Tuning-Free Diffusion Model with Refocusing Cross-Attention12 Jun 2026
- 2026On the Controllability-Fidelity Frontier in Diffusion Editing5 Jun 2026
- 2026Consistent-Inversion: Reverse Consistency Guidance for Structure-Preserving Visual Editing5 Jun 2026
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- 2026Multi-History-Step SDE Inversion for Image Editing with Superior Regional Awareness6 Sep 2026
- 2026RankT2I: A Submodular Framework for Discovering Interpretable and Diverse Semantics in Text-to-Image Models14 Aug 2026
- 2026Instruction-based Image Editing: A Survey on Data, Models, Evaluation, and Applications28 Jul 2026
- 2026Compression Asymmetry and Trajectory Binding in Noise-Anchored Diffusion Inversion8 Jul 2026
- 2026Wavelet-Guided Semantic Signal Compensation for Inversion-Free Image Editing2 Jul 2026
- 2026MirrorPPR: Exemplar-Based Portrait Photo Retouching28 Jun 2026
- 2026BAFIS: Dataset + Framework to assess occupational Bias and Human Preference in modern Text-to-image Models18 Jun 2026
- 2026LooseControlVideo: Directorial Video Control using Spatial Blocking17 Jun 2026
- 2026BindEdit: Taming Attention Leakage for Precise Multi-Object Image Editing17 Jun 2026
- 2026An Extensive Benchmark for Single-round and Multi-round Instruction-based Image Editing14 Jun 2026
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