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Consistency distillation is a prevalent way for accelerating diffusion models adopted in consistency (trajectory) models, in which a student model is trained to traverse backward on the probability flow (PF) ordinary differential equation (ODE) trajectory determined by the teacher model.
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Diederik P Kingma, Tim Salimans, Ben Poole, and Jonathan Ho · 2021
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Luping Liu, Yi Ren, Zhijie Lin, and Zhou Zhao · 2021
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Photorealistic video generation with diffusion models
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Consistency trajectory models: Learning probability flow ode trajectory of diffusion
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Adversarial diffusion distillation
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Consistency models
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Videolcm: Video latent consistency model
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Comospeech: One-step speech and singing voice synthesis via consistency model
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Vidu: a highly consistent, dynamic and skilled text-to-video generator with diffusion models
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Bidirectional consistency models
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Fast high-resolution image synthesis with latent adversarial diffusion distillation
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Sageattention2: Efficient attention with thorough outlier smoothing and per-thread int4 quantization
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