
Breaking the AI Look
Learn how to spot & fix the details that make AI images look fake
About the Workshop
Frocks in Stock Presents: A workshop with Liat Kohanteb Tuesday, October 20, 2-3pm EST In this 60-minute workshop, you’ll learn: - The 3 places an AI image’s believability usually breaks (scene, capture, and details) and how to tell which one is causing the problem - How to use the way a camera works to direct the way you prompt AI - The one mindset shift needed to make your fix-it prompts actually improve your images - Why adding grain, blur, pores, or “imperfections” isn’t automatically more realistic, and what to do instead - How to prevent AI from accidentally changing what’s already working - When to use AI for your edits and when to move to Photoshop - Watch Liat put it all together as she diagnoses and fixes AI images live You’ll learn how to make the people, scenes, and objects in your AI images actually look photorealistic by diagnosing what feels fake and knowing how to refine it. You’ll start noticing the little things that give AI away, from unnatural lighting and too-perfect skin to off-looking angles, and more importantly, you’ll know what to do about them. You’ll create the incredibly specific image your client needs that you’d never find on a stock site - the right person, the right setting, the right details. And it actually looks like a photograph. Ready to stop endlessly regenerating and start creating AI images you’re excited to use in client work?






Have a question?
frocksinstock@gmail.com
