Diffusion Product Quantization
Published in arXiv (Cornell University) • Nov 19, 2024
NobleIDNI3P93W81R42S86
Authors:,,
Jie Shao
Hanxiao Zhang
Jianxin Wu
Abstract
In this work, we explore the quantization of diffusion models in extreme compression regimes to reduce model size while maintaining performance. We begin by investigating classical vector quantization but find that diffusion models are particularly susceptible to quantization error, with the codeboo...
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