mlsanityData to 14 Oct 2026

FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space

arXiv 2506.15742 ↗First posted 17 Jun 2025cs.GRcited by 1,006

On the map: Diffusion models → Image generation, text-to-image and editing

Abstract (arXiv)

We present evaluation results for FLUX.1 Kontext, a generative flow matching model that unifies image generation and editing. The model generates novel output views by incorporating semantic context from text and image inputs. Using a simple sequence concatenation approach, FLUX.1 Kontext handles both local editing and generative in-context tasks within a single unified architecture. Compared to current editing models that exhibit degradation in character consistency and stability across multiple turns, we observe that FLUX.1 Kontext improved preservation of objects and characters, leading to greater robustness in iterative workflows. The model achieves competitive performance with current state-of-the-art systems while delivering significantly faster generation times, enabling interactive applications and rapid prototyping workflows. To validate these improvements, we introduce KontextBench, a comprehensive benchmark with 1026 image-prompt pairs covering five task categories: local editing, global editing, character reference, style reference and text editing. Detailed evaluations show the superior performance of FLUX.1 Kontext in terms of both single-turn quality and multi-turn consistency, setting new standards for unified image processing models.

Key facts. Cited by 1,006 papers in the map (data through 14 Oct 2026). Placed in Image generation, text-to-image and editing, one of 14 directions in Diffusion models. Builds on 47 of its 57 references that are in the map. First posted on arXiv 17 Jun 2025.

Builds on

47 of 57 references.

Closest ancestors · 13

Same direction, newest first

  1. 2025In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer29 Apr
  2. 2024In-Context LoRA for Diffusion Transformers31 Oct
  3. 2024OmniGen: Unified Image Generation17 Sep
  4. 2023IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models13 Aug
  5. 2023Adding Conditional Control to Text-to-Image Diffusion Models10 Feb
  6. 2022Multi-Concept Customization of Text-to-Image Diffusion8 Dec
  7. 2022Paint by Example: Exemplar-based Image Editing with Diffusion Models23 Nov
  8. 2022InstructPix2Pix: Learning to Follow Image Editing Instructions17 Nov
  9. 2022Imagic: Text-Based Real Image Editing with Diffusion Models17 Oct
  10. 2022DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation25 Aug
  11. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding23 May
  12. 2022Hierarchical Text-Conditional Image Generation with CLIP Latents13 Apr
1 more
  1. 2021Palette: Image-to-Image Diffusion Models10 Nov

Other references · 34

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
  2. 2020Denoising Diffusion Probabilistic Modelscited by 21,076
  3. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
  4. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,364
  5. 2022Scalable Diffusion Models with Transformerscited by 6,054
  6. 2022Classifier-Free Diffusion Guidancecited by 5,847
  7. 2022Flow Matching for Generative Modelingcited by 5,702
  8. 2021RoFormer: Enhanced Transformer with Rotary Position Embeddingcited by 4,703
  9. 2024Scaling Rectified Flow Transformers for High-Resolution Image Synthesiscited by 4,181
  10. 2022Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flowcited by 3,700
  11. 2022An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversioncited by 2,245
  12. 2022RePaint: Inpainting using Denoising Diffusion Probabilistic Modelscited by 1,430
22 more
  1. 2022Scaling Autoregressive Models for Content-Rich Text-to-Image Generationcited by 1,295
  2. 2022Building Normalizing Flows with Stochastic Interpolantscited by 995
  3. 2025Emerging Properties in Unified Multimodal Pretrainingcited by 897
  4. 2023Adversarial Diffusion Distillationcited by 759
  5. 2021Resolution-robust Large Mask Inpainting with Fourier Convolutionscited by 738
  6. 2022On Distillation of Guided Diffusion Modelscited by 725
  7. 2023Scaling Vision Transformers to 22 Billion Parameterscited by 694
  8. 2023MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editingcited by 624
  9. 2024FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precisioncited by 519
  10. 2025Step1X-Edit: A Practical Framework for General Image Editingcited by 429
  11. 2023Simple diffusion: End-to-end diffusion for high resolution imagescited by 422
  12. 2023Emu Edit: Precise Image Editing via Recognition and Generation Taskscited by 324
  13. 2023Understanding Diffusion Objectives as the ELBO with Simple Data Augmentationcited by 304
  14. 2022Reducing Activation Recomputation in Large Transformer Modelscited by 302
  15. 2024Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillationcited by 279
  16. 2023Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifoldcited by 219
  17. 2022Re-Imagen: Retrieval-Augmented Text-to-Image Generatorcited by 210
  18. 2021Projected GANs Converge Fastercited by 208
  19. 2024GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generationcited by 135
  20. 2024DreamBench++: A Human-Aligned Benchmark for Personalized Image Generationcited by 131
  21. 2021ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesiscited by 122
  22. 2024TorchTitan: One-stop PyTorch native solution for production ready LLM pre-trainingcited by 85

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 323; 2026: 683.

1,006 papers.

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  1. 2025Qwen-Image Technical Reportcited by 1,044
  2. 2025Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformercited by 277
  3. 2025OmniGen2: Towards Instruction-Aligned Multimodal Generationcited by 253
  4. 2025Seedream 4.0: Toward Next-generation Multimodal Image Generationcited by 249
  5. 2025Emu3.5: Native Multimodal Models are World Learnerscited by 132
  6. 2025Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcingcited by 116
  7. 2025LongCat-Image Technical Reportcited by 100
  8. 2025TempFlow-GRPO: When Timing Matters for GRPO in Flow Modelscited by 97
  9. 2025Mixture of Contexts for Long Video Generationcited by 95
  10. 2025UniVideo: Unified Understanding, Generation, and Editing for Videoscited by 87
  11. 2025Wan-Animate: Unified Character Animation and Replacement with Holistic Replicationcited by 80
  12. 2025Scaling Instruction-Based Video Editing with a High-Quality Synthetic Datasetcited by 79
38 more
  1. 2025Uniworld-V2: Reinforce Image Editing with Diffusion Negative-aware Finetuning and MLLM Implicit Feedbackcited by 79
  2. 2025GPT-IMAGE-EDIT-1.5M: A Million-Scale, GPT-Generated Image Datasetcited by 70
  3. 2025Ovis-U1 Technical Reportcited by 67
  4. 2025EditScore: Unlocking Online RL for Image Editing via High-Fidelity Reward Modelingcited by 64
  5. 2025BranchGRPO: Stable and Efficient GRPO with Structured Branching in Diffusion Modelscited by 61
  6. 2025NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scalecited by 57
  7. 2025Uni-cot: Towards Unified Chain-of-Thought Reasoning Across Text and Visioncited by 56
  8. 2025EditVerse: Unifying Image and Video Editing and Generation with In-Context Learningcited by 54
  9. 2025BLIP3o-NEXT: Next Frontier of Native Image Generationcited by 54
  10. 2025OpenVE-3M: A Large-Scale High-Quality Dataset for Instruction-Guided Video Editingcited by 53
  11. 2025Reconstruction Alignment Improves Unified Multimodal Modelscited by 49
  12. 2025HunyuanVideo-Foley: Multimodal Diffusion with Representation Alignment for High-Fidelity Foley Audio Generationcited by 46
  13. 2026ELF: Embedded Language Flowscited by 45
  14. 2025PromptEnhancer: A Simple Approach to Enhance Text-to-Image Models via Chain-of-Thought Prompt Rewritingcited by 43
  15. 2025How Far are VLMs from Visual Spatial Intelligence? A Benchmark-Driven Perspectivecited by 43
  16. 2025Skywork UniPic 2.0: Building Kontext Model with Online RL for Unified Multimodal Modelcited by 41
  17. 2025NovaFlow: Zero-Shot Manipulation via Actionable Flow from Generated Videoscited by 40
  18. 2025StoryMem: Multi-shot Long Video Storytelling with Memorycited by 40
  19. 2026DiffusionOPD: A Unified Perspective of On-Policy Distillation in Diffusion Modelscited by 40
  20. 2025DreamOmni2: Multimodal Instruction-based Editing and Generationcited by 38
  21. 2026Beyond Language Modeling: An Exploration of Multimodal Pretrainingcited by 37
  22. 2026FireRed-Image-Edit-1.0 Technical Reportcited by 36
  23. 2026LongCat-Next: Lexicalizing Modalities as Discrete Tokenscited by 36
  24. 2026Qwen-Image-2.0 Technical Reportcited by 36
  25. 2025In-Context Learning with Unpaired Clips for Instruction-based Video Editingcited by 35
  26. 2025TUNA: Taming Unified Visual Representations for Native Unified Multimodal Modelscited by 34
  27. 2025Qwen-Image-Layered: Towards Inherent Editability via Layer Decompositioncited by 34
  28. 2026Flow-OPD: On-Policy Distillation for Flow Matching Modelscited by 34
  29. 2025RealUnify: Do Unified Models Truly Benefit from Unification? A Comprehensive Benchmarkcited by 33
  30. 2025InstructX: Towards Unified Visual Editing with MLLM Guidancecited by 32
  31. 2026HiDream-O1-Image: A Natively Unified Image Generative Foundation Model with Pixel-level Unified Transformercited by 32
  32. 2026SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-unify Architecturecited by 32
  33. 2025NANO3D: A Training-Free Approach for Efficient 3D Editing Without Maskscited by 31
  34. 2025JarvisEvo: Towards a Self-Evolving Photo Editing Agent with Synergistic Editor-Evaluator Optimizationcited by 31
  35. 2026Self-Supervised Flow Matching for Scalable Multi-Modal Synthesiscited by 31
  36. 2025BusterX++: Towards Unified Cross-Modal AI-Generated Content Detection and Explanation with MLLMcited by 29
  37. 2025DragFlow: Unleashing DiT Priors with Region Based Supervision for Drag Editingcited by 29
  38. 2025ChronoEdit: Towards Temporal Reasoning for Image Editing and World Simulationcited by 29

50 most cited of 1,006 All 1,006 (JSON)

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  1. 2024FluxSpace: Disentangled Semantic Editing in Rectified Flow Transformers
  2. 2023Latent Space Editing in Transformer-Based Flow Matching
  3. 2026Editing on the Generative Manifold: A Theoretical and Empirical Study of General Diffusion-Based Image Editing Trade-offs
  4. 2025SplitFlow: Flow Decomposition for Inversion-Free Text-to-Image Editing
  5. 2025LORE: Latent Optimization for Precise Semantic Control in Rectified Flow-based Image Editing
  6. 2026DanceOPD: On-Policy Generative Field Distillation
  7. 2025FlowAlign: Trajectory-Regularized, Inversion-Free Flow-based Image Editing
  8. 2024Click2Mask: Local Editing with Dynamic Mask Generation