DiffServe: Efficiently Serving Text-to-Image Diffusion Models with Query-Aware Model Scaling

This artifact describes the complete workflow to setup the cluster testbed experiments for DiffServe. We describe how to obtain the code, and then describe installing the dependencies. We explain how to run the experiments and plot the results.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-07
DOI
https://doi.org/10.5281/zenodo.14984970
Primary Topic
Quasicrystal Structures and Properties
Type
article
Field-Weighted Citation Impact
0.00
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article

DiffServe: Efficiently Serving Text-to-Image Diffusion Models with Query-Aware Model Scaling

Zenodo (CERN European Organization for Nuclear Research)
Quasicrystal Structures and Properties
article

DiffServe: Efficiently Serving Text-to-Image Diffusion Models with Query-Aware Model Scaling

article en

Abstract

This artifact describes the complete workflow to setup the cluster testbed experiments for DiffServe. We describe how to obtain the code, and then describe installing the dependencies. We explain how to run the experiments and plot the results.

Zenodo (CERN European Organization for Nuclear Research)
University of Massachusetts Amherst (US)
Openalex Percentile: Top 63%
Quasicrystal Structures and Properties
DOIOpen Access PDFOpenAlex
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DiffServe: Efficiently Serving Text-to-Image Diffusion Models with Query-Aware Model Scaling · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS