One-Step Image Translation with Text-to-Image Models
On the map: Diffusion models → Image generation, text-to-image and editing
Abstract (arXiv)
In this work, we address two limitations of existing conditional diffusion models: their slow inference speed due to the iterative denoising process and their reliance on paired data for model fine-tuning. To tackle these issues, we introduce a general method for adapting a single-step diffusion model to new tasks and domains through adversarial learning objectives. Specifically, we consolidate various modules of the vanilla latent diffusion model into a single end-to-end generator network with small trainable weights, enhancing its ability to preserve the input image structure while reducing overfitting. We demonstrate that, for unpaired settings, our model CycleGAN-Turbo outperforms existing GAN-based and diffusion-based methods for various scene translation tasks, such as day-to-night conversion and adding/removing weather effects like fog, snow, and rain. We extend our method to paired settings, where our model pix2pix-Turbo is on par with recent works like Control-Net for Sketch2Photo and Edge2Image, but with a single-step inference. This work suggests that single-step diffusion models can serve as strong backbones for a range of GAN learning objectives. Our code and models are available at https://github.com/GaParmar/img2img-turbo.
Key facts. Cited by 116 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 68 of its 79 references that are in the map. First posted on arXiv 18 Mar 2024.
Builds on
68 of 79 references.
Closest ancestors · 17
Same direction, newest first
- 2023UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs14 Nov
- 2023Localizing Object-level Shape Variations with Text-to-Image Diffusion Models20 Mar
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- 2023Adding Conditional Control to Text-to-Image Diffusion Models10 Feb
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- 2023GLIGEN: Open-Set Grounded Text-to-Image Generation17 Jan
- 2022SpaText: Spatio-Textual Representation for Controllable Image Generation25 Nov
- 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
- 2022Imagic: Text-Based Real Image Editing with Diffusion Models17 Oct
- 2022Pretraining is All You Need for Image-to-Image Translation25 May
5 more
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- 2022Hierarchical Text-Conditional Image Generation with CLIP Latents13 Apr
- 2022Dual Diffusion Implicit Bridges for Image-to-Image Translation16 Mar
- 2021GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models20 Dec
- 2021Palette: Image-to-Image Diffusion Models10 Nov
Other references · 51
- 2014Adam: A Method for Stochastic Optimizationcited by 37,240
- 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
- 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
- 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,380
- 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,177
- 2020Denoising Diffusion Implicit Modelscited by 9,781
- 2016Image-to-Image Translation with Conditional Adversarial Networkscited by 4,527
- 2022LAION-5B: An open large-scale dataset for training next generation image-text modelscited by 4,152
- 2022Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flowcited by 3,700
- 2022Elucidating the Design Space of Diffusion-Based Generative Modelscited by 3,045
- 2016Perceptual Losses for Real-Time Style Transfer and Super-Resolutioncited by 2,694
- 2022Prompt-to-Prompt Image Editing with Cross Attention Controlcited by 2,431
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- 2022DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Stepscited by 1,979
- 2021SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equationscited by 1,937
- 2023Consistency Modelscited by 1,822
- 2019Semantic Image Synthesis with Spatially-Adaptive Normalizationcited by 1,299
- 2018BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learningcited by 1,288
- 2023ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillationcited by 1,219
- 2017High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANscited by 1,179
- 2023One-step Diffusion with Distribution Matching Distillationcited by 1,019
- 2022Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translationcited by 906
- 2023Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inferencecited by 846
- 2018Multimodal Unsupervised Image-to-Image Translationcited by 795
- 2023Adversarial Diffusion Distillationcited by 759
- 2023MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editingcited by 727
- 2022On Distillation of Guided Diffusion Modelscited by 725
- 2020Contrastive Learning for Unpaired Image-to-Image Translationcited by 639
- 2017Unsupervised Image-to-Image Translation Networkscited by 603
- 2015Holistically-Nested Edge Detectioncited by 592
- 2023Zero-shot Image-to-Image Translationcited by 505
- 2023Scaling up GANs for Text-to-Image Synthesiscited by 492
- 2022Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priorscited by 487
- 2023InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generationcited by 395
- 2021Knowledge Distillation in Iterative Generative Models for Improved Sampling Speedcited by 348
- 2017DualGAN: Unsupervised Dual Learning for Image-to-Image Translationcited by 310
- 2017Toward Multimodal Image-to-Image Translationcited by 296
- 2018Diverse Image-to-Image Translation via Disentangled Representationscited by 296
- 2016Learning from Simulated and Unsupervised Images through Adversarial Trainingcited by 288
- 2017Learning to Discover Cross-Domain Relations with Generative Adversarial Networkscited by 278
- 2022EDICT: Exact Diffusion Inversion via Coupled Transformationscited by 258
- 2019SEAN: Image Synthesis with Semantic Region-Adaptive Normalizationcited by 253
- 2021Large Scale Image Completion via Co-Modulated Generative Adversarial Networkscited by 220
- 2023StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesiscited by 212
- 2022Splicing ViT Features for Semantic Appearance Transfercited by 209
- 2022Fast Sampling of Diffusion Models via Operator Learningcited by 175
- 2021UNIT-DDPM: UNpaired Image Translation with Denoising Diffusion Probabilistic Modelscited by 133
- 2016Unsupervised Cross-Domain Image Generationcited by 125
- 2023Expressive Text-to-Image Generation with Rich Textcited by 89
- 2021Ensembling Off-the-shelf Models for GAN Trainingcited by 86
- 2016Scribbler: Controlling Deep Image Synthesis with Sketch and Colorcited by 78
50 most cited of 51 All 51 (JSON)
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Citing papers per year: 2024: 22; 2025: 49; 2026: 45.
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