Stable Flow: Vital Layers for Training-Free Image Editing
Omri Avrahami, Or Patashnik, Ohad Fried, Egor Nemchinov, Kfir Aberman, Dani Lischinski, Daniel Cohen-Or
2025Year
57Top-tier citations
Abstract
Non-rigid editing Adding an object Object replacement Scene editing Figure 1 . Stable Flow. Our training-free editing method is able to perform various types of image editing operations, including non-rigid editing, object addition, object removal, and global scene editing. These different edits are done using the same mechanism.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 080afb51-ff85-4583-af60-68d7e5679856Cited by top-tier papers57
- Pico-Banana-400K: A Large-Scale Dataset for Text-Guided Image EditingYusu Qian, Eli Bocek-Rivele, Liangchen Song, Jialing Tong et al.CVPR 2026 · 63 citations
- Stochastic Self-Guidance for Training-Free Enhancement of Diffusion ModelsChubin Chen, Jiashu Zhu, Xiaokun Feng, Nisha Huang et al.ICLR 2026 · 44 citations
- UniEdit-Flow: Unleashing Inversion and Editing in the Era of Flow ModelsGuanlong Jiao, Biqing Huang, Kuan-Chieh Wang, Renjie LiaoICLR 2026 · 42 citations
- Flowedit: Inversion-Free Text-Based Editing Using Pre-Trained Flow ModelsVladimir Kulikov, Matan Kleiner, Inbar Huberman-Spiegelglas, Tomer MichaeliICCV 2025 · 30 citations
- Follow-Your-Shape: Shape-Aware Image Editing via Trajectory-Guided Region ControlZeqian Long, Mingzhe Zheng, Kunyu Feng, Xinhua Zhang et al.ICLR 2026 · 29 citations
Builds on48
- Denoising Diffusion Probabilistic ModelsJonathan Ho, Ajay Jain, Pieter AbbeelNeurIPS 2020 · 35,902 citations
- High-Resolution Image Synthesis with Latent Diffusion ModelsRobin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser et al.CVPR 2022 · 13,123 citations
- Denoising Diffusion Implicit ModelsJiaming Song, Chenlin Meng, Stefano ErmonICLR 2021 · 11,743 citations
- Photorealistic Text-to-Image Diffusion Models with Deep Language UnderstandingChitwan Saharia, William Chan, Saurabh Saxena, Lala Li et al.NeurIPS 2022 · 8,965 citations
- Scalable Diffusion Models with TransformersWilliam Peebles, Saining XieICCV 2023 · 5,568 citations
Related papers
- Cora: Correspondence-aware image editing using few step diffusionAmirhossein Alimohammadi, Aryan Mikaeili, Sauradip Nag, Negar Hassanpour et al.SIGGRAPH 2025
- Training-Free Geometric Image Editing on Diffusion ModelsHanshen Zhu, Zhen Zhu, Kaile Zhang, Yiming Gong et al.ICCV 2025 · 3 citations
- Unveil Inversion and Invariance in Flow Transformer for Versatile Image EditingPengcheng Xu, Boyuan Jiang, Xiaobin Hu, Donghao Luo et al.CVPR 2025
- SplatFlow: Multi-View Rectified Flow Model for 3D Gaussian Splatting SynthesisHyojun Go, Byeongjun Park, Jiho Jang, Jin-Young Kim et al.CVPR 2025
- Towards Training-free Scene Text EditingYubo Li, Xugong Qin, Peng Zhang, Hailun Lin et al.CVPR 2026
