One of the biggest challenges with AI-generated images for elearning is consistency—you need the same characters appearing across multiple scenarios with different poses, expressions, and settings. In this session, you'll learn workflows for generating consistent characters using multiple AI image generation tools.
 
We'll explore how to combine the strengths of different tools, such as using Midjourney, Flux, and Nano Banana. Different tools have strengths for initial character creation, generating additional poses, and combining multiple characters into scenes. You'll see several approaches for accomplishing these tasks so you can choose the workflow that fits your needs and budget. We'll also discuss current limitations of these tools and what they can't yet do reliably. 

By the end of this session, you'll have practical workflows for creating consistent character images across your scenarios and a clear understanding of where each tool shines.

In this session you'll learn:

• How to create and maintain consistent characters across multiple images using AI generation tools
• Workflows for combining tools like Midjourney, Flux, and Nano Banana to leverage each tool's strengths
• Techniques for generating the same character in different poses, expressions, and settings
• How to combine multiple characters together in a single scene
• Current limitations of these tools and workarounds for common challenges

Christy Tucker is a learning experience design consultant with over 20 years of experience helping people learn. She specializes in using scenario-based learning to engage audiences and promote skill transfer to real-world environments. She has created training for a wide range of clients, including Fortune 500 companies, nonprofit associations, state and local government agencies, universities, and more. Christy has been blogging about instructional design and elearning for over 15 years and is a regular speaker at industry conferences and events.