•  
  •  
 

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

Creative Commons Attribution-Noncommercial 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 License.

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.