An adapted scaling law predicts GPU energy consumption for diffusion model inference with R² > 0.9 within architectures and strong cross-architecture generalization.
Power hungry processing: Watts driving the cost of AI deployment?F AccT ’23: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, pages 85–99
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Energy Scaling Laws for Diffusion Models: Quantifying Compute in Image Generation
An adapted scaling law predicts GPU energy consumption for diffusion model inference with R² > 0.9 within architectures and strong cross-architecture generalization.