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We present AnimateDiff-Lightning for lightning-fast video generation.
Generative adversarial networks
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville, and Yoshua Bengio · 2014
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Holistically-nested edge detection
Saining Xie and Zhuowen Tu · 2015
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Searching for activation functions, 2017
Prajit Ramachandran, Barret Zoph, and Quoc V. Le · 2017
Earlier work this paper cites.
Towards accurate generative models of video: A new metric & challenges
Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach, Raphaël Marinier, Marcin Michalski, and Sylvain Gelly · 2018
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Group normalization
Yuxin Wu and Kaiming He · 2018
Earlier work this paper cites.
Pytorch: An imperative style, high-performance deep learning library, 2019
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Köpf, Edward Yang, Zach DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala · 2019
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Frozen in time: A joint video and image encoder for end-to-end retrieval
Max Bain, Arsha Nagrani, Gül Varol, and Andrew Zisserman · 2021
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Robust high-resolution video matting with temporal guidance
Shanchuan Lin, Linjie Yang, Imran Saleemi, and Soumyadip Sengupta · 2021
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High-resolution image synthesis with latent diffusion models
Robin Rombach, A. Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2021
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Score-based generative modeling through stochastic differential equations
Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole · 2021
Earlier work this paper cites.
Imagen video: High definition video generation with diffusion models, 2022
Jonathan Ho, William Chan, Chitwan Saharia, Jay Whang, Ruiqi Gao, Alexey Gritsenko, Diederik P. Kingma, Ben Poole, Mohammad Norouzi, David J. Fleet, and Tim Salimans · 2022
Earlier work this paper cites.
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
Earlier work this paper cites.
Flow straight and fast: Learning to generate and transfer data with rectified flow, 2022
Xingchao Liu, Chengyue Gong, and Qiang Liu · 2022
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Progressive distillation for fast sampling of diffusion models
Tim Salimans and Jonathan Ho · 2022
Cited alongside, same era.
Stable video diffusion: Scaling latent video diffusion models to large datasets, 2023
Andreas Blattmann, Tim Dockhorn, Sumith Kulal, Daniel Mendelevitch, Maciej Kilian, Dominik Lorenz, Yam Levi, Zion English, Vikram Voleti, Adam Letts, Varun Jampani, and Robin Rombach · 2023
Cited alongside, same era.
Align your latents: High-resolution video synthesis with latent diffusion models
A. Blattmann, Robin Rombach, Huan Ling, Tim Dockhorn, Seung Wook Kim, Sanja Fidler, and Karsten Kreis · 2023
Cited alongside, same era.
Structure and content-guided video synthesis with diffusion models
Patrick Esser, Johnathan Chiu, Parmida Atighehchian, Jonathan Granskog, and Anastasis Germanidis · 2023
Cited alongside, same era.
Gaussian error linear units (gelus), 2023
Dan Hendrycks and Kevin Gimpel · 2023
Cited alongside, same era.
Flow matching for generative modeling
Ip-adapter: Text compatible image prompt adapter for text-to-image diffusion models, 2023
Hu Ye, Jun Zhang, Sibo Liu, Xiao Han, and Wei Yang · 2023
Later among the works it cites.
One-step diffusion with distribution matching distillation, 2023
Tianwei Yin, Michaël Gharbi, Richard Zhang, Eli Shechtman, Fredo Durand, William T. Freeman, and Taesung Park · 2023
Later among the works it cites.
Adding conditional control to text-to-image diffusion models
Lvmin Zhang, Anyi Rao, and Maneesh Agrawala · 2023
Later among the works it cites.
Magicvideo: Efficient video generation with latent diffusion models, 2023
Daquan Zhou, Weimin Wang, Hanshu Yan, Weiwei Lv, Yizhe Zhu, and Jiashi Feng · 2023
Later among the works it cites.
Animatediff: Animate your personalized text-to-image diffusion models without specific tuning
Yuwei Guo, Ceyuan Yang, Anyi Rao, Zhengyang Liang, Yaohui Wang, Yu Qiao, Maneesh Agrawala, Dahua Lin, and Bo Dai · 2024
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Yaron Lipman, Ricky T. Q. Chen, Heli Ben-Hamu, Maximilian Nickel, and Matthew Le · 2023
Cited alongside, same era.
Dpm-solver++: Fast solver for guided sampling of diffusion probabilistic models, 2023
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, and Jun Zhu · 2023
Cited alongside, same era.
Latent consistency models: Synthesizing high-resolution images with few-step inference, 2023
Simian Luo, Yiqin Tan, Longbo Huang, Jian Li, and Hang Zhao · 2023
Cited alongside, same era.
Lcm-lora: A universal stable-diffusion acceleration module, 2023
Simian Luo, Yiqin Tan, Suraj Patil, Daniel Gu, Patrick von Platen, Apolinário Passos, Longbo Huang, Jian Li, and Hang Zhao · 2023
Cited alongside, same era.
T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models, 2023
Chong Mou, Xintao Wang, Liangbin Xie, Yanze Wu, Jian Zhang, Zhongang Qi, Ying Shan, and Xiaohu Qie · 2023
Cited alongside, same era.
Dreamfusion: Text-to-3d using 2d diffusion
Ben Poole, Ajay Jain, Jonathan T. Barron, and Ben Mildenhall · 2023
Cited alongside, same era.
Adversarial diffusion distillation, 2023
Axel Sauer, Dominik Lorenz, Andreas Blattmann, and Robin Rombach · 2023
Cited alongside, same era.
Consistency trajectory models: Learning probability flow ODE trajectory of diffusion
Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Yutong He, Yuki Mitsufuji, and Stefano Ermon · 2024
Closest in time.
Common diffusion noise schedules and sample steps are flawed
Shanchuan Lin, Bingchen Liu, Jiashi Li, and Xiao Yang · 2024
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Sdxl-lightning: Progressive adversarial diffusion distillation, 2024
Shanchuan Lin, Anran Wang, and Xiao Yang · 2024
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Diffusion model with perceptual loss, 2024
Shanchuan Lin and Xiao Yang · 2024
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Instaflow: One step is enough for high-quality diffusion-based text-to-image generation
Xingchao Liu, Xiwen Zhang, Jianzhu Ma, Jian Peng, and qiang liu · 2024
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Improved techniques for training consistency models
Yang Song and Prafulla Dhariwal · 2024
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Animatelcm: Accelerating the animation of personalized diffusion models and adapters with decoupled consistency learning, 2024
Fu-Yun Wang, Zhaoyang Huang, Xiaoyu Shi, Weikang Bian, Guanglu Song, Yu Liu, and Hongsheng Li · 2024
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Magicvideo-v2: Multi-stage high-aesthetic video generation, 2024
Weimin Wang, Jiawei Liu, Zhijie Lin, Jiangqiao Yan, Shuo Chen, Chetwin Low, Tuyen Hoang, Jie Wu, Jun Hao Liew, Hanshu Yan, Daquan Zhou, and Jiashi Feng · 2024
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Trajectory consistency distillation, 2024
Jianbin Zheng, Minghui Hu, Zhongyi Fan, Chaoyue Wang, Changxing Ding, Dacheng Tao, and Tat-Jen Cham · 2024
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