Volume
63
Issue
3
Abstract
Generative AI (GenAI) systems facilitate the creation of visual images by utilizing extensive datasets to interpret text-based instructions. Effective prompt engineering is essential for optimizing the output of AI-generated images. This article examines various GenAI systems and their functionalities, explores text-to-image prompt engineering principles and their application in Extension work, aiming to enhance the effectiveness of visual content creation with respect to educational materials, data visualization, and promotional content. The article also provides guidance and examples to assist Extension professionals in leveraging GenAI for improved communication and engagement. Recommendations include crafting detailed prompts and continuously refining them for desired results, ultimately fostering innovation in Extension work.
Creative Commons License

This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 License.
Recommended Citation
Hill, P., Dong, X. A., & Miller, A. L. (2025). Transforming Text to Images: Prompt Engineering Principles for Generative AI Use in Extension. The Journal of Extension, 63(3), Article 9. https://open.clemson.edu/joe/vol63/iss3/9
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