How to Create Realistic AI Images

The Real Reason Your AI Images Look Fake

AI images look fake because they're too smooth, too symmetrical, and too "perfect": real photos contain noise, imperfection, and technical quirks that a generic prompt never asks for. This is the "uncanny valley" problem: an image can be hyper-realistic and still feel subtly wrong, because small flawed details, unnaturally smooth skin, shadows that don't match the light source, slightly-off hand proportions, register instantly to a human brain even when they're hard to name. The fix isn't a better tool. It's prompting like a photographer instead of a concept artist.

The Prompt Formula That Actually Works

In my testing, the same structure works every time, and it's worth using as a literal template: subject and action (specific, not generic: age, expression, posture), camera and lens (a full-frame DSLR with an 85mm lens at f/2.8 reads completely differently to the model than no camera information at all), lighting (natural window light with soft shadows, or a specific studio setup), and film stock or style tokens (naming something like Kodak Portra 400 pushes the output toward a specific, authentic-feeling color and grain profile).

A full example, not just the abstract advice: "Shot on disposable camera, direct flash, harsh on-camera flash lighting, visible grain, slight red-eye effect, overexposed highlights. 22-year-old woman, long wavy dark hair, minimal makeup, relaxed expression. Oversized band t-shirt, shorts, barefoot. Sitting cross-legged on bedroom floor, looking directly at camera, leaning slightly forward. Bedroom at night, messy bed in background, clothes on chair, flash illuminating subject sharply against darker room." Notice what's doing the work: it doesn't describe a mood in the abstract, it describes exactly how a specific camera would have captured this exact moment.

Negative Prompts and "Broken" Imperfections

Most beginner guides for this exact query skip this part entirely. A negative prompt, a list of what you don't want, is one of the most effective realism tools available: adding terms like "plastic skin, blurry, cartoon, 3d render, illustration, deformed hands, extra fingers" pushes the model away from its default, overly-smooth tendencies. The second technique is even less obvious: AI images are frequently too perfect, so deliberately editing in imperfections afterward, film grain, a slight burn, a touch of desaturation, moves a technically flawless image toward something that reads as photographic. I build my own process around this: generate first, then treat the output like a real negative that needs processing, not a finished product.

Which Tool Actually Wins for Realism

Curious Refuge built a real test for this: a quiz asking people to distinguish real photos from AI-generated ones, and it ran Google Gemini through its own quiz, where Gemini scored just 2 out of 9. Curious Refuge's direct, side-by-side finding: Nano Banana Pro (accessible directly in Gemini or through an aggregator like Freepik) currently beats Midjourney for photorealism. Midjourney's output tends toward "almost too perfect," and the skin texture, lighting, and overall polish read as generated precisely because they're too consistent. This matches what my own AI Image Generators Compared testing already found: Gemini's Nano Banana model leads specifically on photo-editing and realism, while Midjourney leads on artistic aesthetic, two different jobs, not a contradiction. If photorealism specifically is the goal, Nano Banana Pro is the better starting point. In my testing, Leonardo AI is also worth trying for its "Blueprints" feature, pre-built realism templates that apply film grain and environmental integration automatically. None of this requires a paid plan to test. My Free AI Image Generators picks cover which of these tools (and others) let you run the full prompt formula above without paying anything.

Keeping the Same Face Across Multiple Images

Getting a consistent character across scenes is a common and genuinely hard problem. The most reliable technique isn't a tool feature, it's what's sometimes called "descriptive persistence": build a fixed, detailed "character sheet" (age, ethnicity, specific facial features like a small scar, hairstyle and color, default expression) and paste that exact same description into every prompt, regardless of the scene. The more oddly specific the details, the better the odds of getting the same person back.

The Ethical Line You Shouldn't Cross

Never generate images of real, identifiable people without their explicit consent, disclose that an image is AI-generated when sharing it publicly or for business use, and don't use these techniques to create deceptive deepfakes or place someone in a situation they weren't actually in. None of the realism techniques above change what's ethical to generate. They just make the output harder to distinguish from reality, which raises the stakes on using them responsibly.

Putting It Together: A Step-by-Step Walkthrough

1. Start with the structure, not a vague sentence. Subject and action, camera and lens, lighting, film stock or style, in that order.
2. Generate in batches. Realism is a refinement process; you're unlikely to nail it on the first try, so use a tool that lets you generate several variations at once.
3. Add a negative prompt. List exactly what's going wrong in your results (plastic skin, extra fingers, cartoonish look) and exclude it explicitly.
4. Zoom in and check the details. Hands, eyes, and background text are where AI images fail first.
5. Edit in a small amount of imperfection. A touch of grain or a slight color shift often does more for believability than another round of generation.

Where This Fits in the Wider AI Image Toolkit

This guide sits in the AI Image Tools section. It pairs directly with AI Image Generators Compared for choosing the right tool, and the Midjourney and Leonardo AI reviews for tool-specific detail. For a narrower look at art-style generation specifically rather than photorealism, see How to Create AI Art.

Frequently asked questions

Why do my AI photos still look fake?

Usually the "uncanny valley" problem: unnaturally smooth skin, mismatched shadows, or slightly-off proportions in hands and eyes. Add specific texture and imperfection language to your prompt (detailed skin texture, pores, realistic imperfections) and use a negative prompt to explicitly exclude the usual failure modes (plastic skin, blurry, deformed hands).

How can I create consistent characters across multiple images?

Build a detailed, fixed "character sheet": age, ethnicity, specific facial features, hairstyle, default expression, and reuse that exact description in every prompt for that character, regardless of the scene.

What are the ethical rules for creating realistic AI images of people?

Never generate images of real, identifiable people without consent, disclose AI-generated images when sharing them publicly or commercially, and never use these techniques for deceptive deepfakes.

Can ChatGPT create or make images?

Yes — ChatGPT generates images natively (built on OpenAI's image model) for anyone on a paid plan, right inside the same chat window you'd use for text. The prompt formula above (subject and action, camera and lens, lighting, film stock) works the same way there; see our ChatGPT review for what its paid tiers include.

What's the easiest website to generate AI images from a text description?

There isn't one universal answer — it depends on whether photorealism, art style, or a free plan matters most to you. See AI Image Generators Compared for how the major tools stack up, or Free AI Image Generators if cost is the deciding factor.