GreenStableYolo: Optimizing Inference Time and Image Quality of Text-to-Image Generation-Reference-Cited by-同舟云学术

GreenStableYolo: Optimizing Inference Time and Image Quality of Text-to-Image Generation

Published:2024 Issue: Volume: Page:70-76
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:en
Short-container-title:

Author:

Gong Jingzhi^ORCID,Li Sisi^ORCID,d’Aloisio Giordano^ORCID,Ding Zishuo^ORCID,Ye Yulong^ORCID,Langdon William B.^ORCID,Sarro Federica^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-64573-0_7

Reference22 articles.

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3. Berger, H., et al.: StableYolo: optimizing image generation for large language models. In: Arcaini, P., Yue, T., Fredericks, E.M. (eds.) Search-Based Software Engineering, SSBSE 2023. LNCS, vol. 14415, pp. 133–139. Springer, Cham (2024). https://doi.org/10.1007/978-3-031-48796-5_10

4. Bruens, J.D., Meissner, M.: Do you create your content yourself? Using generative artificial intelligence for social media content creation diminishes perceived brand authenticity. J. Retail. Consum. Serv. 79, 103790 (2024)

5. Cao, Y., et al.: A comprehensive survey of AI-generated content (AIGC): a history of generative AI from GAN to ChatGPT. arXiv arXiv:2303.04226 (2023)

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