AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration

19 September 2023

Min Zheng

Papers citing "AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration"

30 / 30 papers shown

Title
Entropic Time Schedulers for Generative Diffusion Models Dejan Stancevic Luca Ambrogioni DiffM OOD 51 0 0 18 Apr 2025
FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality Zhengyao Lv Chenyang Si Junhao Song Zhenyu Yang Ping Luo Ziwei Liu Kwan-Yee K. Wong VGen DiffM 84 8 0 13 Mar 2025
Straight-Line Diffusion Model for Efficient 3D Molecular Generation Yuyan Ni Shikun Feng Haohan Chi Bowen Zheng Huan-ang Gao Wei-Ying Ma Zhi-Ming Ma Yanyan Lan DiffM 71 2 0 04 Mar 2025
PFDiff: Training-Free Acceleration of Diffusion Models Combining Past and Future Scores Guangyi Wang Yuren Cai Lijiang Li Wei Peng Songzhi Su DiffM 54 0 0 21 Feb 2025
TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models Haocheng Huang Jiaxin Chen Jinyang Guo Ruiyi Zhan Yunhong Wang DiffM MQ 80 1 0 21 Dec 2024
Diffusion Sampling Correction via Approximately 10 Parameters Guangyi Wang Wei Peng Lijiang Li Wenyu Chen Yuren Cai Songzhi Su DiffM 38 0 0 10 Nov 2024
Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy Hancheng Ye Jiakang Yuan Renqiu Xia Xiangchao Yan Tao Chen Junchi Yan Botian Shi Bo Zhang DiffM 34 1 0 13 Oct 2024
Flexiffusion: Segment-wise Neural Architecture Search for Flexible Denoising Schedule Hongtao Huang Xiaojun Chang Lina Yao 30 0 0 26 Sep 2024
Multi-Modal Generative AI: Multi-modal LLM, Diffusion and Beyond Hong Chen Xin Wang Yuwei Zhou Bin Huang Yipeng Zhang Wei Feng Houlun Chen Zeyang Zhang Siao Tang Wenwu Zhu DiffM 55 7 0 23 Sep 2024
Real-Time Video Generation with Pyramid Attention Broadcast Xuanlei Zhao Xiaolong Jin Kai Wang Yang You VGen DiffM 77 32 0 22 Aug 2024
Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models using Stepwise Spectral Analysis Haeil Lee Han S. Lee Seoyeon Gye Junmo Kim DiffM 49 2 0 16 Jul 2024
Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis Zanlin Ni Yulin Wang Renping Zhou Jiayi Guo Jinyi Hu Zhiyuan Liu Shiji Song Yuan Yao Gao Huang 32 14 0 08 Jun 2024
ReDistill: Residual Encoded Distillation for Peak Memory Reduction of CNNs Fang Chen Gourav Datta Mujahid Al Rafi Hyeran Jeon Meng Tang 93 1 0 06 Jun 2024
$Δ$ -DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers Pengtao Chen Mingzhu Shen Peng Ye Jianjian Cao Chongjun Tu C. Bouganis Yiren Zhao Tao Chen 60 28 0 03 Jun 2024
A-SDM: Accelerating Stable Diffusion through Model Assembly and Feature Inheritance Strategies Jinchao Zhu Yuxuan Wang Siyuan Pan Pengfei Wan Di Zhang Gao Huang 26 0 0 31 May 2024
Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models Hongjie Wang Difan Liu Yan Kang Yijun Li Zhe Lin N. Jha Yuchen Liu 36 13 0 08 May 2024
TMPQ-DM: Joint Timestep Reduction and Quantization Precision Selection for Efficient Diffusion Models Haojun Sun Chen Tang Zhi Wang Yuan Meng Jingyan Jiang Xinzhu Ma Wenwu Zhu MQ 39 5 0 15 Apr 2024
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better En-hao Liu Junyi Zhu Zinan Lin Xuefei Ning Shuaiqi Wang ... Sergey Yekhanin Guohao Dai Huazhong Yang Yu-Xiang Wang Yu Wang MoMe 57 4 0 02 Apr 2024
Denoising Task Difficulty-based Curriculum for Training Diffusion Models Jin-Young Kim Hyojun Go Soonwoo Kwon Hyun-Gyoon Kim DiffM 59 6 0 15 Mar 2024
Accelerating Diffusion Sampling with Optimized Time Steps Shuchen Xue Zhaoqiang Liu Fei Chen Shifeng Zhang Tianyang Hu Enze Xie Zhenguo Li DiffM 41 23 0 27 Feb 2024
Bellman Optimal Stepsize Straightening of Flow-Matching Models Bao Nguyen Binh Nguyen Viet Anh Nguyen 32 6 0 27 Dec 2023
Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models Angela Castillo Jonas Kohler Juan C. Pérez Juan Pablo Pérez Albert Pumarola Guohao Li Pablo Arbelaez Ali K. Thabet 30 12 0 19 Dec 2023
DeepCache: Accelerating Diffusion Models for Free Xinyin Ma Gongfan Fang Xinchao Wang 24 124 0 01 Dec 2023
HiPA: Enabling One-Step Text-to-Image Diffusion Models via High-Frequency-Promoting Adaptation Yifan Zhang Bryan Hooi VLM 34 9 0 30 Nov 2023
HiDiffusion: Unlocking Higher-Resolution Creativity and Efficiency in Pretrained Diffusion Models Shen Zhang Zhaowei Chen Zhenyu Zhao Yuhao Chen Yao Tang Jiajun Liang 32 6 0 29 Nov 2023
Denoising Diffusion Step-aware Models Shuai Yang Yukang Chen Luozhou Wang Shu Liu Ying-Cong Chen DiffM 43 13 0 05 Oct 2023
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero Feng Yu Radu Timofte Luc Van Gool DiffM 233 1,355 0 24 Jan 2022
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 342 1,593 0 10 Nov 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 195 258 0 07 Jan 2021
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,217 0 01 Sep 2014