Quantization as a Foundation for Deployable High Performance Diffusion Models within the Landscape of Large Scale Generative AI
Diffusion models have emerged as a cornerstone of large-scale generative artificial intelligence, underpinning some of the most advanced text-to-image, text-to-video, and multimodal generation systems. Their remarkable capabilities, however, come at t
Authors
- Lars Peter Madsen
- Svend J. Knak Jensen (ORCID: https://orcid.org/0000-0002-7059-1016)
- Anders Kristensen (ORCID: https://orcid.org/0000-0001-9567-1656)
- Mads Peter Sørensen
- E. B. Rasmussen
- Chand Aline (ORCID: https://orcid.org/0009-0004-9409-8826)
- Freja Holm
Institutions
- University of Copenhagen (DK)
- Aarhus University (DK)
- Aalborg University (DK)
- Technical University of Denmark (DK)
Publication Details
- Published
- 2025-08-26
- DOI
- https://doi.org/10.36227/techrxiv.175624440.05705133/v1
- Primary Topic
- Distributed and Parallel Computing Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00