Using AI Image Generation for Product Mockups That Do Not Look Fake
Product mockups from AI image tools often look plastic and over-lit. Here is the prompt structure that produces mockups a client will actually approve. I generate product mockups for clients who want to see their packaging, signage, or merchandise in context before paying for a photoshoot. AI image generation should make this fast, but most mockups look obviously synthetic: glossy reflections, perfect lighting, and surfaces that feel like render defaults. After a year of refining the process, here is how I get mockups that pass for real photography. The short version is that you have to fight the model's default tendencies at every step, because those defaults are tuned for eye-catching thumbnails, not for the kind of honest image a product photo needs to be. Start With the Real Material, Not the Product The mistake is leading with the product. A prompt like Real-World Lessons I want to share a story from last month that illustrates why this matters more than you might think. A colleague asked me to review their implementation. It looked correct on the surface, but when I dug into the edge cases, I found three issues that would have caused problems in production. The first was a race condition that only appeared under load. The second was a missing error handler that would crash the service if an external API timed out.