Editor’s Note: For more advanced prompt engineering techniques, breakdown examples, and community-tested strategies on achieving hyper-realistic AI imagery, check out the resources over at prompt seen . if you want prompt comment in below now
I’ve been experimenting with writing detailed scene descriptions in my prompts to get more realistic-looking images, and I’ve noticed the results vary a lot depending on how the scene is structured.
When I write a very literal, list-style scene description (just listing objects, lighting, colors), the output tends to look flat and obviously AI-generated. But when I describe the scene more like a photographer or cinematographer would — camera angle, time of day, mood, how light falls on surfaces — the results feel noticeably more natural.
A few things I’ve been testing:
Describing the scene from a specific point of view (eye-level, low angle, etc.) instead of just naming objects
Adding environmental details (weather, reflections, shadows) instead of just the main subject
Mentioning imperfections (slight blur, uneven lighting) since real photos are rarely “perfect”
Still, I keep running into the same issue others have mentioned — the main subject can look convincing, but the background or supporting elements in the scene still feel synthetic.
Has anyone found a reliable way to structure a scene description so the entire image feels cohesive, not just the focal point? Would love to see prompt examples that worked well for you.
Secondly, could you share the exact prompts used for one or two of these images, along with the original outputs? It would also help to know which image model you used and whether you included reference images. Without seeing the prompt and result together, it’s difficult to tell what produced the more realistic background or what could improve it further.
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