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Text-to-image (T2I) generation using diffusion models has become a blockbuster service in today's AI cloud.
Reevaluating amdahl’s law
John L. Gustafson · 1988
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Image quality assessment: From error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
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U-Net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Clipper: A low-latency online prediction serving system
Daniel Crankshaw, Xin Wang, Guilio Zhou, Michael J. Franklin, Joseph E. Gonzalez, and Ion Stoica · 2017
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
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MArk: Exploiting cloud services for cost-effective, SLO-aware machine learning inference serving
Chengliang Zhang, Minchen Yu, Wei Wang, and Feng Yan · 2019
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Serving DNNs like Clockwork: Performance predictability from the bottom up
Arpan Gujarati, Reza Karimi, Safya Alzayat, Wei Hao, Antoine Kaufmann, Ymir Vigfusson, and Jonathan Mace · 2020
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CLIPScore: A reference-free evaluation metric for image captioning
Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, and Yejin Choi · 2021
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Classifier-free diffusion guidance
Jonathan Ho and Tim Salimans · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever · 2021
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Morphling: Fast, near-optimal auto-configuration for cloud-native model serving
Luping Wang, Lingyun Yang, Yinghao Yu, Wei Wang, Bo Li, Xianchao Sun, Jian He, and Liping Zhang · 2021
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Cocktail: A multidimensional optimization for model serving in cloud
Jashwant Raj Gunasekaran, Cyan Subhra Mishra, Prashanth Thinakaran, Bikash Sharma, Mahmut Taylan Kandemir, and Chita R. Das · 2022
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LoRA: Low-rank adaptation of large language models
Edward J Hu, yelong shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 2022
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PEFT: State-of-the-art parameter-efficient fine-tuning methods
Sourab Mangrulkar, Sylvain Gugger, Lysandre Debut, Younes Belkada, Sayak Paul, and Benjamin Bossan · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Diffusers: State-of-the-art diffusion models
Patrick von Platen, Suraj Patil, Anton Lozhkov, Pedro Cuenca, Nathan Lambert, Kashif Rasul, Mishig Davaadorj, Dhruv Nair, Sayak Paul, William Berman, Yiyi Xu, Steven Liu, and Thomas Wolf · 2022
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INFless: A native serverless system for low-latency, high-throughput inference
Yanan Yang, Laiping Zhao, Yiming Li, Huanyu Zhang, Jie Li, Mingyang Zhao, Xingzhen Chen, and Keqiu Li · 2022
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Orca: A distributed serving system for transformer-based generative models
Gyeong-In Yu, Joo Seong Jeong, Geon-Woo Kim, Soojeong Kim, and Byung-Gon Chun · 2022
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Scaling autoregressive models for content-rich text-to-image generation
Jiahui Yu, Yuanzhong Xu, Jing Yu Koh, Thang Luong, Gunjan Baid, Zirui Wang, Vijay Vasudevan, Alexander Ku, Yinfei Yang, Burcu Karagol Ayan, Ben Hutchinson, Wei Han, Zarana Parekh, Xin Li, Han Zhang, Jason Baldridge, and Yonghui Wu · 2022
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Adobe unleashes new era of creativity for all with the commercial release of generative AI
Adobe · 2023
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Scalable diffusion models with transformers
William Peebles and Saining Xie · 2023
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S-LoRA: Serving thousands of concurrent LoRA adapters
Ying Sheng, Shiyi Cao, Dacheng Li, Coleman Hooper, Nicholas Lee, Shuo Yang, Christopher Chou, Banghua Zhu, Lianmin Zheng, Kurt Keutzer, Joseph E. Gonzalez, and Ion Stoica · 2023
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Tabi: An efficient multi-level inference system for large language models
Yiding Wang, Kai Chen, Haisheng Tan, and Kun Guo · 2023
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MGG: Accelerating graph neural networks with fine-grained intra-kernel communication-computation pipelining on multi-GPU platforms
Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Kevin Barker, Ang Li, and Yufei Ding · 2023
Cited alongside, same era.
Punica: Multi-tenant LoRA serving
Lequn Chen, Zihao Ye, Yongji Wu, Danyang Zhuo, Luis Ceze, and Arvind Krishnamurthy · 2024
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Scaling rectified flow transformers for high-resolution image synthesis
Patrick Esser, Sumith Kulal, Andreas Blattmann, Rahim Entezari, Jonas Müller, Harry Saini, Yam Levi, Dominik Lorenz, Axel Sauer, Frederic Boesel, Dustin Podell, Tim Dockhorn, Zion English, and Robin Rombach · 2024
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Huggingface diffusers sdxl controlnets
HuggingFace · 2024
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BrushNet: a plug-and-play image inpainting model with decomposed dual-branch diffusion
Xuan Ju, Xian Liu, Xintao Wang, Yuxuan Bian, Ying Shan, and Qiang Xu · 2024
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DistriFusion: Distributed parallel inference for high-resolution diffusion models
Muyang Li, Tianle Cai, Jiaxin Cao, Qinsheng Zhang, Han Cai, Junjie Bai, Yangqing Jia, Ming-Yu Liu, Kai Li, and Song Han · 2024
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CaraServe: CPU-assisted and rank-aware LoRA serving for generative LLM inference
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Zijie J. Wang, Evan Montoya, David Munechika, Haoyang Yang, Benjamin Hoover, and Duen Horng Chau · 2023
Cited alongside, same era.
GRACE: A scalable graph-based approach to accelerating recommendation model inference
Haojie Ye, Sanketh Vedula, Yuhan Chen, Yichen Yang, Alex Bronstein, Ronald Dreslinski, Trevor Mudge, and Nishil Talati · 2023
Cited alongside, same era.
IP-Adapter: Text compatible image prompt adapter for text-to-image diffusion models
Hu Ye, Jun Zhang, Sibo Liu, Xiao Han, and Wei Yang · 2023
Cited alongside, same era.
SHEPHERD: Serving DNNs in the wild
Hong Zhang, Yupeng Tang, Anurag Khandelwal, and Ion Stoica · 2023
Cited alongside, same era.
Adding conditional control to text-to-image diffusion models
Lvmin Zhang, Anyi Rao, and Maneesh Agrawala · 2023
Cited alongside, same era.
Prospect: Prompt spectrum for attribute-aware personalization of diffusion models
Yuxin Zhang, Weiming Dong, Fan Tang, Nisha Huang, Haibin Huang, Chongyang Ma, Tong-Yee Lee, Oliver Deussen, and Changsheng Xu · 2023
Cited alongside, same era.
Judging LLM-as-a-judge with MT-Bench and Chatbot Arena
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric. P Xing, Hao Zhang, Joseph E. Gonzalez, and Ion Stoica · 2023
Cited alongside, same era.
Suyi Li, Hanfeng Lu, Tianyuan Wu, Minchen Yu, Qizhen Weng, Xusheng Chen, Yizhou Shan, Binhang Yuan, and Wei Wang · 2024
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Zhimin Li, Jianwei Zhang, Qin Lin, Jiangfeng Xiong, Yanxin Long, Xinchi Deng, Yingfang Zhang, Xingchao Liu, Minbin Huang, Zedong Xiao, et al · 2024
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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, and Jürgen Schmidhuber · 2024
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DeepCache: Accelerating diffusion models for free
Xinyin Ma, Gongfan Fang, and Xinchao Wang · 2024
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SpecInfer: Accelerating large language model serving with tree-based speculative inference and verification
Xupeng Miao, Gabriele Oliaro, Zhihao Zhang, Xinhao Cheng, Zeyu Wang, Zhengxin Zhang, Rae Ying Yee Wong, Alan Zhu, Lijie Yang, Xiaoxiang Shi, Chunan Shi, Zhuoming Chen, Daiyaan Arfeen, Reyna Abhyankar, and Zhihao Jia · 2024
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Midjourney ai
Midjourney · 2024
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DALL·E 2
OpenAI · 2024
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SDXL: Improving latent diffusion models for high-resolution image synthesis
Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, and Robin Rombach · 2024
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Freeu: Free lunch in diffusion u-net
Chenyang Si, Ziqi Huang, Yuming Jiang, and Ziwei Liu · 2024
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Kolors: Effective training of diffusion model for photorealistic text-to-image synthesis
Kolors Team · 2024
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Papercut sdxl
TheLastBen · 2024
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William eggleston style sdxl
TheLastBen · 2024
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InstantID: Zero-shot identity-preserving generation in seconds
Qixun Wang, Xu Bai, Haofan Wang, Zekui Qin, Anthony Chen, Huaxia Li, Xu Tang, and Yao Hu · 2024
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Gustafson’s law
Wikipedia · 2024
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IC-Light
Lvmin Zhang, Anyi Rao, and Maneesh Agrawala · 2024
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