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Episode notes

Jamey Gannon is an AI creative director who specializes in creating consistent, beautiful brand imagery using AI tools. In this episode, Jamey demonstrates her streamlined workflow for generating cohesive brand assets using Midjourney, Nano Banana, and other AI image tools. She walks through her process of creating mood boards, using style references, developing personalization codes, and strategically iterating to achieve a consistent aesthetic. Rather than relying on complex prompts, Jamey shows how visual references and strategic shortcuts can produce better results with less effort.

What you’ll learn:

How to create effective mood boards that communicate your desired aesthetic to AI image generation tools
Why style references (SREFs) often produce more consistent results than general mood boards in Midjourney
A systematic approach to testing and refining your visual style
How to use personalization codes in Midjourney to develop your own unique aesthetic preferences
Techniques for combining image references, style references, and minimal prompting to achieve consistent brand imagery
A workflow for using Nano Banana to fix specific elements in Midjourney-generated images without extensive editing
How to package and deliver your brand imagery system to clients so they can continue generating consistent assets

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Brought to you by:

Vanta—Automate compliance and simplify security

Lovable—Build apps by simply chatting with AI

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In this episode, we cover:

(00:00) Introduction to Jamey Gannon

(02:31) Creating mood boards as the foundation for AI image generation

(08:45) Using SREFs for better consistency

(11:15) Test prompts for evaluating style consistency

(12:33) The iterative process of creating and refining images

(24:28) Combining techniques for consistent brand imagery