Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Pernias, Pablo"'
Publikováno v:
The Twelfth International Conference on Learning Representations (ICLR), 2024
We introduce W\"urstchen, a novel architecture for text-to-image synthesis that combines competitive performance with unprecedented cost-effectiveness for large-scale text-to-image diffusion models. A key contribution of our work is to develop a late
Externí odkaz:
http://arxiv.org/abs/2306.00637
Recent advancements in the domain of text-to-image synthesis have culminated in a multitude of enhancements pertaining to quality, fidelity, and diversity. Contemporary techniques enable the generation of highly intricate visuals which rapidly approa
Externí odkaz:
http://arxiv.org/abs/2211.07292
We introduce Wuerstchen, a novel technique for text-to-image synthesis that unites competitive performance with unprecedented cost-effectiveness and ease of training on constrained hardware. Building on recent advancements in machine learning, our ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e4d0bf17b226f478ffba1b859947ed8
http://arxiv.org/abs/2306.00637
http://arxiv.org/abs/2306.00637