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$Δ$-DiT: A Training-Free Acceleration Method Tailored for Diffusion
  Transformers

ΔΔΔ-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers

3 June 2024
Pengtao Chen
Mingzhu Shen
Peng Ye
Jianjian Cao
Chongjun Tu
C. Bouganis
Yiren Zhao
Tao Chen
ArXiv (abs)PDFHTMLHuggingFace (1 upvotes)

Papers citing "$Δ$-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers"

15 / 65 papers shown
Title
CacheQuant: Comprehensively Accelerated Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2025
Xuewen Liu
Zhikai Li
Qingyi Gu
DiffM
148
2
0
03 Mar 2025
Accelerating Diffusion Transformers with Token-wise Feature Caching
Accelerating Diffusion Transformers with Token-wise Feature CachingInternational Conference on Learning Representations (ICLR), 2024
Chang Zou
Xuyang Liu
Ting Liu
Siteng Huang
Linfeng Zhang
313
44
0
20 Feb 2025
EXION: Exploiting Inter- and Intra-Iteration Output Sparsity for Diffusion Models
EXION: Exploiting Inter- and Intra-Iteration Output Sparsity for Diffusion ModelsInternational Symposium on High-Performance Computer Architecture (HPCA), 2025
Jaehoon Heo
Adiwena Putra
Jieon Yoon
Sungwoong Yune
Hangyeol Lee
Ji-Hoon Kim
Joo-Young Kim
DiffM
200
4
0
10 Jan 2025
AdaEAGLE: Optimizing Speculative Decoding via Explicit Modeling of
  Adaptive Draft Structures
AdaEAGLE: Optimizing Speculative Decoding via Explicit Modeling of Adaptive Draft Structures
Situo Zhang
Hankun Wang
Da Ma
Zichen Zhu
Lu Chen
Kunyao Lan
Kai Yu
193
6
0
25 Dec 2024
AsymRnR: Video Diffusion Transformers Acceleration with Asymmetric Reduction and Restoration
AsymRnR: Video Diffusion Transformers Acceleration with Asymmetric Reduction and Restoration
Wenhao Sun
Rong-Cheng Tu
Jingyi Liao
Zhao Jin
Dacheng Tao
VGen
536
2
0
16 Dec 2024
Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model
Timestep Embedding Tells: It's Time to Cache for Video Diffusion ModelComputer Vision and Pattern Recognition (CVPR), 2024
Feng Liu
Shiwei Zhang
Xiaofeng Wang
Yujie Wei
Haonan Qiu
Yuzhong Zhao
Yingya Zhang
Qixiang Ye
Fang Wan
VGenAI4TS
344
65
0
28 Nov 2024
Towards Stabilized and Efficient Diffusion Transformers through Long-Skip-Connections with Spectral Constraints
Towards Stabilized and Efficient Diffusion Transformers through Long-Skip-Connections with Spectral Constraints
Guanjie Chen
Xinyu Zhao
Yucheng Zhou
Tianlong Chen
Cheng Yu
Yu Cheng
367
2
0
26 Nov 2024
SmoothCache: A Universal Inference Acceleration Technique for Diffusion Transformers
SmoothCache: A Universal Inference Acceleration Technique for Diffusion Transformers
Joseph Liu
Joshua Geddes
Ziyu Guo
Haomiao Jiang
Xiao Yu
248
3
0
15 Nov 2024
xDiT: an Inference Engine for Diffusion Transformers (DiTs) with Massive
  Parallelism
xDiT: an Inference Engine for Diffusion Transformers (DiTs) with Massive Parallelism
Jiarui Fang
Jinzhe Pan
Xibo Sun
Aoyu Li
Jiannan Wang
215
24
0
04 Nov 2024
Multi-modal Generative AI: Multi-modal LLMs, Diffusions and the Unification
Multi-modal Generative AI: Multi-modal LLMs, Diffusions and the Unification
X. Wang
Yuwei Zhou
Bin Huang
Hong Chen
Wenwu Zhu
DiffM
289
1
0
23 Sep 2024
Real-Time Video Generation with Pyramid Attention Broadcast
Real-Time Video Generation with Pyramid Attention BroadcastInternational Conference on Learning Representations (ICLR), 2024
Xuanlei Zhao
Xiaolong Jin
Kai Wang
Yang You
VGenDiffM
338
69
0
22 Aug 2024
LAPTOP-Diff: Layer Pruning and Normalized Distillation for Compressing Diffusion Models
LAPTOP-Diff: Layer Pruning and Normalized Distillation for Compressing Diffusion Models
Dingkun Zhang
Sijia Li
Chen Chen
Qingsong Xie
H. Lu
349
40
0
17 Apr 2024
Faster Diffusion via Temporal Attention Decomposition
Faster Diffusion via Temporal Attention Decomposition
Haozhe Liu
Wentian Zhang
Jinheng Xie
Francesco Faccio
Mengmeng Xu
Tao Xiang
Mike Zheng Shou
Juan-Manuel Perez-Rua
Jürgen Schmidhuber
DiffM
347
36
0
03 Apr 2024
EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models
EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models
Xuewen Liu
Zhikai Li
Junrui Xiao
Mengjuan Chen
Jianquan Li
Qingyi Gu
MQ
290
18
0
09 Jan 2024
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic ModelsMachine Intelligence Research (MIR), 2022
Cheng Lu
Yuhao Zhou
Fan Bao
Jianfei Chen
Chongxuan Li
Jun Zhu
DiffM
542
763
0
02 Nov 2022
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