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PTQD: Accurate Post-Training Quantization for Diffusion Models

18 May 2023

Jing Liu

Bohan Zhuang

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Papers citing "PTQD: Accurate Post-Training Quantization for Diffusion Models"

50 / 52 papers shown

Title
Attend to Not Attended: Structure-then-Detail Token Merging for Post-training DiT Acceleration Haipeng Fang Sheng Tang Juan Cao Enshuo Zhang Fan Tang Tong-Yee Lee 82 0 0 16 May 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 142 15 0 13 Mar 2025
Post-Training Quantization for Diffusion Transformer via Hierarchical Timestep Grouping Ning Ding Jing Han Yuchuan Tian Chao Xu Kai Han Yehui Tang MQ 139 0 0 10 Mar 2025
Ditto: Accelerating Diffusion Model via Temporal Value Similarity Sungbin Kim Hyunwuk Lee Wonho Cho Mincheol Park Won Woo Ro 131 1 0 20 Jan 2025
Cached Adaptive Token Merging: Dynamic Token Reduction and Redundant Computation Elimination in Diffusion Model Omid Saghatchian Atiyeh Gh. Moghadam Ahmad Nickabadi MoMe 129 1 0 03 Jan 2025
FADA: Fast Diffusion Avatar Synthesis with Mixed-Supervised Multi-CFG Distillation Tianyun Zhong Chao Liang Jianwen Jiang Gaojie Lin Jiaqi Yang Zhou Zhao DiffM 157 1 0 22 Dec 2024
IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models Hang Guo Yawei Li Tao Dai Shu-Tao Xia Luca Benini MQ 79 2 0 29 Oct 2024
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture Qianlong Xiang Miao Zhang Yuzhang Shang Jianlong Wu Yan Yan Liqiang Nie DiffM 98 10 0 05 Sep 2024
Temporal Feature Matters: A Framework for Diffusion Model Quantization Yushi Huang Ruihao Gong Xianglong Liu Jing Liu Yuhang Li Jiwen Lu Dacheng Tao DiffM MQ 75 0 0 28 Jul 2024
Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models Alireza Ganjdanesh Reza Shirkavand Shangqian Gao Heng Huang DiffM VLM 133 4 0 17 Jun 2024
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation Tianchen Zhao Tongcheng Fang Haofeng Huang Enshu Liu Widyadewi Soedarmadji ... Shengen Yan Huazhong Yang Xuefei Ning Xuefei Ning Yu Wang MQ VGen 175 34 0 04 Jun 2024
TerDiT: Ternary Diffusion Models with Transformers Xudong Lu Aojun Zhou Ziyi Lin Qi Liu Yuhui Xu Renrui Zhang Yafei Wen Shuai Ren Peng Gao Junchi Yan MQ 92 3 0 23 May 2024
Paragraph-to-Image Generation with Information-Enriched Diffusion Model Weijia Wu Zhuang Li Yefei He Mike Zheng Shou Chunhua Shen Lele Cheng Yan Li Yan Li Di Zhang VLM 185 25 0 24 Nov 2023
Post-training Quantization on Diffusion Models Yuzhang Shang Zhihang Yuan Bin Xie Bingzhe Wu Yan Yan DiffM MQ 96 175 0 28 Nov 2022
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 156 596 0 02 Nov 2022
Denoising MCMC for Accelerating Diffusion-Based Generative Models Beomsu Kim Jong Chul Ye DiffM 76 15 0 29 Sep 2022
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models Fan Bao Chongxuan Li Jiacheng Sun Jun Zhu Bo Zhang DiffM 74 78 0 15 Jun 2022
gDDIM: Generalized denoising diffusion implicit models Qinsheng Zhang Molei Tao Yongxin Chen DiffM 84 116 0 11 Jun 2022
SDQ: Stochastic Differentiable Quantization with Mixed Precision Xijie Huang Zhiqiang Shen Shichao Li Zechun Liu Xianghong Hu Jeffry Wicaksana Eric P. Xing Kwang-Ting Cheng MQ 52 33 0 09 Jun 2022
Zero-Shot Voice Conditioning for Denoising Diffusion TTS Models Alon Levkovitch Eliya Nachmani Lior Wolf DiffM 63 29 0 05 Jun 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 214 1,449 0 02 Jun 2022
Elucidating the Design Space of Diffusion-Based Generative Models Tero Karras M. Aittala Timo Aila S. Laine DiffM 198 1,981 0 01 Jun 2022
Video Diffusion Models Jonathan Ho Tim Salimans Alexey A. Gritsenko William Chan Mohammad Norouzi David J. Fleet DiffM VGen 204 1,626 0 07 Apr 2022
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis Max W. Y. Lam Jun Wang Dan Su Dong Yu DiffM 89 96 0 25 Mar 2022
QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization Xiuying Wei Ruihao Gong Yuhang Li Xianglong Liu F. Yu MQ VLM 76 176 0 11 Mar 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 280 30,103 0 01 Mar 2022
Pseudo Numerical Methods for Diffusion Models on Manifolds Luping Liu Yi Ren Zhijie Lin Zhou Zhao DiffM 97 647 0 20 Feb 2022
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality Daniel Watson William Chan Jonathan Ho Mohammad Norouzi DiffM BDL 94 183 0 11 Feb 2022
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models Fan Bao Chongxuan Li Jun Zhu Bo Zhang DiffM 89 346 0 17 Jan 2022
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction Hyungjin Chung Byeongsu Sim Jong Chul Ye MedIm DiffM 117 353 0 09 Dec 2021
FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer Yang Lin Tianyu Zhang Peiqin Sun Zheng Li Shuchang Zhou ViT MQ 72 156 0 27 Nov 2021
Score-based diffusion models for accelerated MRI Hyungjin Chung Jong Chul Ye DiffM MedIm 91 423 0 08 Oct 2021
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 178 1,130 0 01 Jul 2021
Gotta Go Fast When Generating Data with Score-Based Models Alexia Jolicoeur-Martineau Ke Li Remi Piche-Taillefer Tal Kachman Ioannis Mitliagkas DiffM 82 224 0 28 May 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 230 7,857 0 11 May 2021
Learning Gradient Fields for Molecular Conformation Generation Chence Shi Shitong Luo Minkai Xu Jian Tang DiffM AI4CE 75 215 0 09 May 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo Wei Hu 3DPC 257 745 0 02 Mar 2021
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization Huanrui Yang Lin Duan Yiran Chen Hai Helen Li MQ 58 65 0 20 Feb 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 337 3,702 0 18 Feb 2021
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction Yuhang Li Ruihao Gong Xu Tan Yang Yang Peng Hu Qi Zhang F. Yu Wei Wang Shi Gu MQ 130 438 0 10 Feb 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 233 278 0 07 Jan 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 341 6,480 0 26 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 283 7,384 0 06 Oct 2020
Differentiable Joint Pruning and Quantization for Hardware Efficiency Ying Wang Yadong Lu Tijmen Blankevoort MQ 58 72 0 20 Jul 2020
Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming Itay Hubara Yury Nahshan Y. Hanani Ron Banner Daniel Soudry MQ 98 127 0 14 Jun 2020
Up or Down? Adaptive Rounding for Post-Training Quantization Markus Nagel Rana Ali Amjad M. V. Baalen Christos Louizos Tijmen Blankevoort MQ 88 585 0 22 Apr 2020
ZeroQ: A Novel Zero Shot Quantization Framework Yaohui Cai Z. Yao Zhen Dong A. Gholami Michael W. Mahoney Kurt Keutzer MQ 88 397 0 01 Jan 2020
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks Ruihao Gong Xianglong Liu Shenghu Jiang Tian-Hao Li Peng Hu Jiazhen Lin F. Yu Junjie Yan MQ 70 459 0 14 Aug 2019
Data-Free Quantization Through Weight Equalization and Bias Correction Markus Nagel M. V. Baalen Tijmen Blankevoort Max Welling MQ 75 513 0 11 Jun 2019
Relaxed Quantization for Discretized Neural Networks Christos Louizos M. Reisser Tijmen Blankevoort E. Gavves Max Welling MQ 96 132 0 03 Oct 2018