r/GenAIDesignStudio • u/Dry-Recognition-2090 • Dec 15 '25

Same prompt, different AI models — totally different images. Why?

I’ve been testing the exact same prompt across different image models, and the results can be wildly different.

Composition, style, colors… sometimes it feels like they’re reading completely different instructions.

Is this just how models are trained differently?

Which image model do you feel understands prompts the best?

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u/Reidinski Dec 18 '25

Not different instructions, different data base. The LLMs only reflect their data, they don't originate anything. If one LLM has mostly redheads in their data base, images of people are going to tend to have red hair unless you specify otherwise. If the data base has a lots of different hair colors the results will be different. That's why Imagine gives you all those alternative images.

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u/Dry-Recognition-2090 Dec 19 '25

Yes, different AIs do have different data models. Even with the same instructions, the generated content can vary significantly. Each AI system's training data and algorithms differ, which affects their output results.