A beginner-friendly, repeatable formula for writing AI image prompts that look like real photos instead of plastic 3D renders — structure, the keywords that matter, and the negative prompt.
Short answer: A realistic AI image prompt has four parts in order — subject → context → photographic detail → quality/realism cues — plus a negative prompt that removes the "plastic" look. Describe it like you're briefing a photographer, not like you're typing keywords into a search box.
| Part | What it covers | Example phrase | |---|---|---| | 1. Subject | Who/what, and the key attributes | "a woman in her late 20s, freckles, natural makeup" | | 2. Context | Setting, pose, action, clothing | "sitting by a window, morning light, casual sweater" | | 3. Photographic detail | Camera, lens, lighting | "shot on 50mm, shallow depth of field, soft natural light" | | 4. Realism cues | Texture/quality words | "skin texture, fine detail, candid, photorealistic" |
Put them in that order. Models weight the front of the prompt more, so the subject leads.
The difference between a realistic photo and a plastic render is usually camera and lighting language. Adding terms a real photographer would use pulls the model toward photography rather than illustration:
35mm, 50mm, 85mm portraitshallow depth of field, bokeh backgroundsoft natural light, golden hour, window light, overcastcandid, snapshot, amateur photo (yes — "amateur" often looks more real than "professional")Counter-intuitively, words like cinematic, 8k, ultra detailed, and professional often push toward the over-polished plastic look. See the full breakdown in why your AI photos look plastic.
The negative prompt removes what you don't want. A solid baseline:
plastic skin, airbrushed, deformed, extra fingers, bad hands,
watermark, text, blurry, oversaturated, cartoon, 3d render
On ximages this baseline is applied automatically, so you only add scene-specific exclusions on top.
Weak prompt:
beautiful woman, 8k, ultra detailed, professional, masterpiece
This gives a glossy, generic, plastic result.
Strong prompt:
a woman in her late 20s with freckles and natural makeup, sitting by a window in a casual sweater, morning light, shot on 50mm, shallow depth of field, candid, visible skin texture, photorealistic
Same model, completely different realism — because it reads like a photo brief.
The subject (it leads) and the photographic detail (it creates realism). Skipping camera/lighting language is the #1 reason images look fake.
Over-polish keywords (8k, cinematic, ultra detailed) plus a high guidance value. Swap them for real photography terms and lower guidance. Full guide: why your AI photos look plastic.
Better prompt adherence is usually in English, but on ximages you can write in Chinese, Japanese, Korean, or German and the assistant translates to a structured English prompt.
Long enough to cover the four parts, short enough to stay focused — usually 1–3 sentences. More isn't better past that.
Realistic AI images come from briefing the model like a photographer: subject first, then context, then camera and lighting, then a few texture cues — with a negative prompt that strips the plastic look. Avoid the over-polish keywords. Change one thing at a time. When in doubt, let the prompt assistant structure it for you.
Related: Why your AI photos look plastic · 12 NSFW prompt traps to avoid · Multi-person scene prompts · Getting started with bigASP v2.5