A taxonomy of prompt modifiers for text-to-image generation

Author:

Oppenlaender Jonas1

Affiliation:

1. Faculty of Information Technology, University of Jyväskylä, Jyväskylä, Finland

Publisher

Informa UK Limited

Subject

Human-Computer Interaction,General Social Sciences,Arts and Humanities (miscellaneous),Developmental and Educational Psychology

Reference61 articles.

1. ArtHub. 2022. arthub.ai. https://arthub.ai/ [Accessed Nov. 9 2022].

2. Bach Stephen Victor Sanh Zheng Xin Yong Albert Webson Colin Raffel Nihal V. Nayak Abheesht Sharma et al. 2022. PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations. Association for Computational Linguistics Dublin Ireland 93–104. https://doi.org/10.18653/v1/2022.acl-demo.9.

3. BigScience Initiative. 2022. Introducing The World’s Largest Open Multilingual Language Model: BLOOM (2022). https://bigscience.huggingface.co/blog/bloom [Accessed Nov. 9 2022].

4. Bommasani, Rishi, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, et al. 2021. On the Opportunities and Risks of Foundation Models. Technical Report. Stanford University. https://crfm.stanford.edu/assets/report.pdf.

5. Chen Mark Jerry Tworek Heewoo Jun Qiming Yuan Henrique Ponde de Oliveira Pinto Jared Kaplan Harri Edwards et al. 2021. Evaluating Large Language Models Trained on Code. (2021). arXiv:2107.03374 [Preprint]. Available at: https://arxiv.org/abs/2107.03374 [Accessed Nov. 9 2022].

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