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Q-Diffusion: Quantizing Diffusion Models

Q-Diffusion: Quantizing Diffusion Models

8 February 2023
Xiuyu Li
Yijia Liu
Long Lian
Hua Yang
Zhen Dong
Daniel Kang
Shanghang Zhang
Kurt Keutzer
    DiffM
    MQ
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Papers citing "Q-Diffusion: Quantizing Diffusion Models"

25 / 25 papers shown
Title
Quantizing Diffusion Models from a Sampling-Aware Perspective
Quantizing Diffusion Models from a Sampling-Aware Perspective
Qian Zeng
Jie Song
Yuanyu Wan
Huiqiong Wang
Mingli Song
DiffM
MQ
68
1
0
04 May 2025
GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution
GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution
Aditya Arora
Z. Tu
Y. Wang
Ruizheng Bai
Jian Wang
Sizhuo Ma
DiffM
61
0
0
01 May 2025
Sparse-to-Sparse Training of Diffusion Models
Sparse-to-Sparse Training of Diffusion Models
Inês Cardoso Oliveira
Decebal Constantin Mocanu
Luis A. Leiva
DiffM
78
0
0
30 Apr 2025
DyDiT++: Dynamic Diffusion Transformers for Efficient Visual Generation
DyDiT++: Dynamic Diffusion Transformers for Efficient Visual Generation
Wangbo Zhao
Yizeng Han
Jiasheng Tang
Kai Wang
Hao Luo
Yibing Song
Gao Huang
Fan Wang
Yang You
63
0
0
09 Apr 2025
FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning
FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning
Hang Guo
Yawei Li
Taolin Zhang
J. Wang
Tao Dai
Shu-Tao Xia
Luca Benini
64
1
0
30 Mar 2025
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models
Reza Shirkavand
Peiran Yu
Shangqian Gao
Gowthami Somepalli
Tom Goldstein
Heng-Chiao Huang
107
1
0
13 Mar 2025
Post-Training Quantization for Diffusion Transformer via Hierarchical Timestep Grouping
Post-Training Quantization for Diffusion Transformer via Hierarchical Timestep Grouping
Ning Ding
Jing Han
Yuchuan Tian
Chao Xu
Kai Han
Yehui Tang
MQ
42
0
0
10 Mar 2025
Accelerating Diffusion Transformers with Token-wise Feature Caching
Accelerating Diffusion Transformers with Token-wise Feature Caching
Chang Zou
Xuyang Liu
Ting Liu
Siteng Huang
Linfeng Zhang
47
13
0
20 Feb 2025
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion
  Transformers
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers
Enze Xie
Junsong Chen
Junyu Chen
Han Cai
Haotian Tang
...
Zhekai Zhang
Muyang Li
Ligeng Zhu
Y. Lu
Song Han
VLM
26
48
0
14 Oct 2024
Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis
Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis
Jinbin Bai
Tian-Chun Ye
Wei Chow
Enxin Song
Qing-Guo Chen
Xiangtai Li
Zhen Dong
Lei Zhu
50
13
0
10 Oct 2024
Bayesian computation with generative diffusion models by Multilevel Monte Carlo
Bayesian computation with generative diffusion models by Multilevel Monte Carlo
Abdul-Lateef Haji-Ali
Marcelo Pereyra
Luke Shaw
K. Zygalakis
DiffM
42
0
0
23 Sep 2024
SDP: Spiking Diffusion Policy for Robotic Manipulation with Learnable
  Channel-Wise Membrane Thresholds
SDP: Spiking Diffusion Policy for Robotic Manipulation with Learnable Channel-Wise Membrane Thresholds
Zhixing Hou
Maoxu Gao
Hang Yu
Mengyu Yang
Chio-in Ieong
33
1
0
17 Sep 2024
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture
Qianlong Xiang
Miao Zhang
Yuzhang Shang
Jianlong Wu
Yan Yan
Liqiang Nie
DiffM
52
9
0
05 Sep 2024
K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences
K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences
Zhikai Li
Xuewen Liu
Dongrong Fu
Jianquan Li
Qingyi Gu
Kurt Keutzer
Zhen Dong
EGVM
VGen
DiffM
78
1
0
26 Aug 2024
Temporal Feature Matters: A Framework for Diffusion Model Quantization
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
46
0
0
28 Jul 2024
Dreamitate: Real-World Visuomotor Policy Learning via Video Generation
Dreamitate: Real-World Visuomotor Policy Learning via Video Generation
Junbang Liang
Ruoshi Liu
Ege Ozguroglu
Sruthi Sudhakar
Achal Dave
P. Tokmakov
Shuran Song
Carl Vondrick
VGen
37
22
0
24 Jun 2024
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
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
97
22
0
04 Jun 2024
TerDiT: Ternary Diffusion Models with Transformers
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
37
2
0
23 May 2024
On the Challenges and Opportunities in Generative AI
On the Challenges and Opportunities in Generative AI
Laura Manduchi
Kushagra Pandey
Robert Bamler
Ryan Cotterell
Sina Daubener
...
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
Vincent Fortuin
54
17
0
28 Feb 2024
PTQD: Accurate Post-Training Quantization for Diffusion Models
PTQD: Accurate Post-Training Quantization for Diffusion Models
Yefei He
Luping Liu
Jing Liu
Weijia Wu
Hong Zhou
Bohan Zhuang
DiffM
MQ
22
100
0
18 May 2023
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion
  Models
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
Muyang Li
Ji Lin
Chenlin Meng
Stefano Ermon
Song Han
Jun-Yan Zhu
DiffM
22
44
0
03 Nov 2022
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian
  Approximation
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation
Cong Guo
Yuxian Qiu
Jingwen Leng
Xiaotian Gao
Chen Zhang
Yunxin Liu
Fan Yang
Yuhao Zhu
Minyi Guo
MQ
55
67
0
14 Feb 2022
Unsupervised Selective Labeling for More Effective Semi-Supervised
  Learning
Unsupervised Selective Labeling for More Effective Semi-Supervised Learning
Xudong Wang
Long Lian
Stella X. Yu
173
32
0
06 Oct 2021
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
262
10,183
0
12 Dec 2018
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
300
1,046
0
10 Feb 2017
1