SQ-DM: Accelerating Diffusion Models with Aggressive Quantization and Temporal Sparsity

Diffusion models have gained significant popularity in image generation tasks. However, generating high-quality content remains notably slow because it requires running model inference over many time steps. To accelerate these models, we propose to aggressively quantize both weights and activations,...

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Bibliographic Details

Published in:	2025 62nd ACM/IEEE Design Automation Conference (DAC) pp. 1 - 7
Main Authors:	Fan, Zichen, Dai, Steve, Venkatesan, Rangharajan, Sylvester, Dennis, Khailany, Brucek
Format:	Conference Proceeding
Language:	English
Published:	IEEE 22.06.2025
Subjects:	Accelerator architectures Computational modeling Design automation Detectors Diffusion models Energy consumption Image synthesis Optimization Quantization (signal) Videos
Online Access:	Get full text
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