Photorealism from Nano Banana is mostly a prompting problem, not a model problem. This guide gives you a single 6-part formula — subject, camera, lighting, setting, style, and constraints — then 10 complete prompts you can paste into the Gemini app right now, plus the handful of mistakes that make images look fake. For the full library, start with the best Nano Banana prompts.

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Why Nano Banana can look like a real photograph

Nano Banana Pro is Google's Gemini 3 Pro Image model, and it reasons about your prompt before it draws a single pixel. That reasoning step is the difference: it actually understands real camera and lighting language — a shallow 85mm depth of field, a three-point softbox, golden-hour backlight — and it renders natively at 2K and 4K, so fine texture like skin pores and fabric weave survives instead of smearing.

The upshot is that photorealism comes from briefing it like a photographer, not from stacking quality keywords. Describe the scene precisely and it fills in physically plausible detail; feed it tag-soup and it lands on the generic AI average.

The photorealism formula

Every photoreal prompt is one descriptive paragraph built from six factors, followed by a short line of constraints. Write it as full sentences — act like a creative director briefing a shoot — not a comma list. Here is the skeleton:

[SUBJECT: who or what, with specific, concrete detail]
[COMPOSITION / CAMERA: framing + lens, e.g. tight portrait shot on 85mm f/1.4, shallow depth of field]
[ACTION: what the subject is doing right now]
[SETTING: where they are, with real environmental detail]
[LIGHTING: a named, real lighting setup and its direction]
[STYLE: the photographic look — editorial, documentary, film stock]
[TEXTURE CUES: the physical details that read as real — skin pores, fabric weave, condensation]

Aspect ratio 3:2, 4K.

Run through each factor and give Nano Banana something concrete for it:

  • Subject. Not "a woman" but "a woman in her 60s with silver hair and laugh lines." Specificity is what separates a real person from a stock composite.
  • Composition / camera. Name the framing and the lens. The lens controls the whole feel — an 85mm f/1.4 gives you a flattering portrait with soft background falloff, a 35mm keeps a scene grounded and documentary, a macro 100mm gets you extreme close texture.
  • Action. A subject mid-action ("pouring coffee," "laughing mid-sentence") reads as candid; a subject just posing reads as generated.
  • Setting. Ground the scene: "a sunlit Lisbon café with worn marble tables," not "a café."
  • Lighting. This is the single biggest realism lever. Name a real setup and its direction — see the table below.
  • Style. Tell it the photographic register: editorial fashion, street documentary, food photography, shot on Kodak Portra 400.

Then the constraints line: lens (already in camera), aspect ratio, and resolution. State them plainly — "Aspect ratio 3:2, 4K." Requesting 4K matters because Nano Banana Pro generates natively at that resolution rather than upscaling afterward.

FactorConcrete words that work
Subject"a weathered fisherman in his 70s"; "a matte-black ceramic mug"; "a red 1967 coupe"
Camera / lens85mm f/1.4 (portrait); 35mm (street/scene); macro 100mm (detail); shallow depth of field
Lightingthree-point softbox setup; golden-hour backlight with long shadows; chiaroscuro, harsh high contrast; soft overcast diffusion; rim light
Setting"a rain-slicked Tokyo alley at night"; "a bright Scandinavian kitchen"; "a foggy pine ridge at dawn"
Styleeditorial fashion; candid documentary; product photography; shot on Kodak Portra 400 / Fujifilm film stock
Texture cuesvisible skin pores and fine flyaway hairs; fabric weave and thread; condensation on glass; dust motes in the light

Keep the Nano Banana prompt cheat sheet open while you build these — it lists the supported aspect ratios and lighting terms in one place.

10 photorealistic example prompts

Ten complete prompts, one per genre. Each is a full paragraph you can paste as-is, then swap the specifics for your own subject.

1. Portrait

A candid close-up portrait of a woman in her early 60s with silver hair and soft laugh lines, glancing just off-camera with a faint smile. Tight head-and-shoulders framing shot on an 85mm f/1.4 lens with a shallow depth of field, so the background falls into gentle bokeh. Warm three-point softbox lighting with a soft key from the left and a subtle rim light separating her from the dark backdrop. Editorial portrait style. Visible skin texture and pores, fine flyaway hairs catching the light, natural color.

Aspect ratio 4:5, 4K.

Why it works: The 85mm lens plus a named softbox setup and explicit pore-level texture cues are exactly the details that kill the plastic look.

2. Street

A candid street scene of a man in a wool overcoat crossing a rain-slicked Tokyo alley at night, mid-stride, umbrella tilted against the drizzle. Shot on a 35mm lens at a slight angle, capturing the full scene with the neon signs reflected in the wet asphalt. Low-key lighting from mixed neon and a single overhead lamp, high contrast with deep shadows. Gritty street-documentary style, shot on film. Rain streaks visible in the light, texture in the wet pavement and the coat's weave.

Aspect ratio 3:2, 4K.

Why it works: The 35mm framing and mixed practical lighting give it the grounded, unstaged feel real street photography has.

3. Food

An overhead shot of a rustic sourdough loaf, torn open to show an open, airy crumb, on a floured dark walnut board. Scattered flour, a linen napkin, and a small dish of butter beside it. Shot on a 50mm lens, slight top-down angle. Soft overcast window light from the left with gentle falloff, no harsh highlights. Natural food-photography style. Crisp, blistered crust texture, visible flour dust, a faint sheen on the butter.

Aspect ratio 1:1, 4K.

Why it works: Soft overcast diffusion is the flattering light real food photographers use, and the crust-and-flour texture cues make it look edible rather than rendered.

4. Product

A matte-black ceramic coffee mug centered on a smooth concrete surface, three-quarter angle, a thin curl of steam rising from it. Studio product shot on a 100mm lens with a moderately shallow depth of field. Clean three-point softbox lighting with a soft gradient falloff on the seamless background and a crisp specular highlight down one edge of the mug. Premium e-commerce product-photography style. Fine matte-ceramic surface texture, a faint reflection on the concrete.

Aspect ratio 4:3, 4K.

Why it works: Controlled softbox lighting plus a single specular highlight is how catalog shots read as premium; see more in the Nano Banana product photography prompts.

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5. Interior

A bright Scandinavian living room with a linen sofa, pale oak floors, and a single large potted olive tree by tall windows. Wide interior shot on a 24mm lens, straight-on and level to keep the vertical lines true. Soft morning daylight pouring through sheer curtains, gentle diffusion and long soft shadows across the floor. Architectural-digest interior style. Visible fabric weave on the sofa, grain in the oak, dust motes drifting in the light beam.

Aspect ratio 16:9, 4K.

Why it works: A wide level lens keeps walls from bowing, and diffused daylight with dust in the beam is the signature of real interior photography.

6. Landscape

A foggy pine ridge at dawn, layered mountains fading into pale mist behind it, a single hawk soaring in the distance. Wide landscape shot on a 35mm lens, deep depth of field so the whole scene is sharp. Golden-hour backlight breaking over the ridge with long shadows and warm rim light on the treetops, cool blue shadow in the valley. Fine-art landscape style. Crisp needle detail on the nearest pines, soft atmospheric haze in the distance.

Aspect ratio 21:9, 4K.

Why it works: Golden-hour backlight plus atmospheric haze gives the depth and warmth that flat, evenly-lit AI landscapes miss.

7. Macro

An extreme close-up of a single water droplet clinging to the edge of a green leaf, the veins of the leaf refracted inside the drop. Macro shot on a 100mm macro lens with an extremely shallow depth of field, background dissolving into smooth green bokeh. Soft diffused side lighting picking out the droplet's rim and the tiny hairs on the leaf surface. Natural macro-photography style. Razor-sharp focus on the droplet, visible surface tension, dew and fine leaf texture.

Aspect ratio 3:2, 4K.

Why it works: A macro 100mm with a paper-thin plane of focus is exactly how real macro looks — one sharp point and everything else melting away.

8. Editorial fashion

A high-fashion editorial shot of a model in a structured crimson wool coat, standing against a raw concrete wall, chin lifted, one hand in her pocket. Full-length framing shot on an 85mm lens, shallow depth of field. Dramatic chiaroscuro lighting, a single hard key from the side carving deep shadows and harsh high contrast. Vogue-style editorial fashion, shot on medium-format film. Rich fabric weave and structure in the coat, sharp skin and fabric texture, deliberate grain.

Aspect ratio 4:5, 4K.

Why it works: Chiaroscuro's hard single key and deep shadow is a real studio technique, and it reads as intentional editorial rather than flat and generic.

9. Automotive

A glossy red 1967 coupe parked on a coastal road at dusk, three-quarter front angle, the ocean and a fading orange sky behind it. Cinematic automotive shot on a 50mm lens, low camera position looking slightly up at the car. Golden-hour backlight rimming the roofline with warm long reflections streaking down the paint, cool ambient fill on the shadow side. Cinematic car-commercial style. Deep reflective paint with visible highlights, chrome catching the sky, fine road texture.

Aspect ratio 16:9, 4K.

Why it works: Cars live or die on reflections; golden-hour rim light streaking down the paint is what makes the surface read as real glossy metal.

10. Candid documentary

A candid documentary frame of a grandfather and his young granddaughter baking together in a warm kitchen, both mid-laugh, flour on their hands and the countertop. Medium shot on a 35mm lens, natural eye-level angle, shallow depth of field. Soft window daylight from the right with a warm ambient bounce, gentle contrast. Photojournalistic documentary style, shot on film. Real skin texture, flour dust hanging in the light, worn wooden countertop and fabric detail.

Aspect ratio 3:2, 4K.

Why it works: Two subjects caught mid-action in soft natural light is the anatomy of an honest candid photo — nobody is posing at the camera.

Mistakes that break realism

Most fake-looking Nano Banana output traces back to one of these habits. Fix them before you touch anything else.

  • Tag-soup instead of sentences. "woman, cafe, 85mm, bokeh, golden hour, moody" throws away every relationship in the scene. Write it as a paragraph a photographer could read.
  • Over-stacking adjectives. Ten adjectives on one noun ("a stunning gorgeous beautiful ethereal dramatic cinematic portrait") cancel each other out. Pick a few specific, concrete ones.
  • No lighting at all. If you don't name the light, you get flat, sourceless illumination — the single most common tell of an AI image. Always name a setup and a direction.
  • Quality-word spam. "8k ultra realistic hyperdetailed masterpiece award-winning" pushes toward the generic AI aesthetic, not away from it. Cut it; ask for "4K" once and let the real detail come from your description.
  • Ignoring aspect ratio. Leaving it out gives you a default crop that rarely fits. State "Aspect ratio X:Y" every time.
  • No reference for consistency. Expecting the same face across shots from text alone won't work — attach reference images (up to 14) and reuse them.
  • Editing from scratch. When an image is nearly right, regenerating throws away what worked. Edit conversationally instead — see below.

Refine with conversational edits

When an image lands around 80% right, don't reroll — describe only the change and lock everything else. Nano Banana keeps the composition and lighting you already liked and adjusts just the one thing you named.

Keep the pose, framing, lighting, and background exactly the same. Change only the model's coat from crimson to deep forest green, same wool texture and structure.
Keep the subject, lens, and composition identical. Change the lighting from soft overcast to warm golden-hour backlight coming from behind the loaf, with longer shadows across the board.

Naming what stays identical is the whole trick — it stops the model from redrawing the face or the frame while it makes your one edit. For more paste-ready starting points, browse the full roundup or, if you also use Midjourney, compare notes in the guide to prompting Midjourney for photorealism.

Frequently Asked Questions

Should I use Nano Banana Pro or Nano Banana 2 for photorealism?

Use Nano Banana Pro (Gemini 3 Pro Image) for photorealistic scenes. It reasons about your prompt before generating, understands real camera and lighting language, and renders native 2K and 4K detail — that reasoning step is what keeps skin, fabric, and reflections physically consistent. Reach for Nano Banana 2 when the image is mostly about rendered words (a poster, a label, a sign), since it has the stronger text engine. For a photoreal portrait or product shot with no heavy text, Pro is the default.

What aspect ratio and resolution should I use for realistic images?

Match the aspect ratio to the shot: 3:2 or 4:5 for portraits, 16:9 or 21:9 for landscapes and cinematic scenes, 1:1 for social, 4:3 for product. State it plainly in the prompt as "Aspect ratio 3:2". For resolution, ask for "2K" for screen use and "4K" when you need print detail or plan to crop in — Nano Banana Pro generates natively at 1K, 2K, and 4K, so requesting it actually changes the output rather than upscaling after the fact.

How do I avoid the plastic, over-smoothed AI look?

The plastic look comes from missing lighting and missing texture. Name a real lighting setup (three-point softbox, golden-hour backlight, chiaroscuro, soft overcast) and add explicit texture cues — visible skin pores, fine flyaway hairs, fabric weave, condensation on glass, dust in the light. Drop spammy quality words like "8k ultra realistic hyperdetailed"; they push toward the generic AI aesthetic. Full descriptive sentences with one clear light source almost always beat a pile of adjectives.

How do I add believable text to a photorealistic image?

Wrap the exact words in quotes, keep them short (1 to 4 words is the reliable range, ALL-CAPS reads most cleanly), name the font and weight, and put the text instruction near the start of the prompt. Say where it sits and on what surface — "the word 'FRESH' in bold condensed sans-serif, embossed on the metal lid." For anything text-heavy, switch to Nano Banana 2, which has the best-in-class text rendering.

How do I keep a face consistent across several images?

Use reference images. Nano Banana lets you attach up to 14 reference images in one prompt, and it holds the subject consistent across them. Add one or two clear photos of the face, then describe the new scene while telling it to keep the identity, then generate. For a series, reuse the same reference each time and change only the setting, wardrobe, or lighting in the prompt so the person stays recognizable shot to shot.

Why do full sentences beat comma-separated tags?

Nano Banana Pro runs on Gemini 3 reasoning, so it reads a prompt more like a creative-director brief than a keyword list. Full sentences let it understand relationships — that the light comes from behind, that the lens is shallow so the background falls off, that the subject is mid-action. Comma tag-soup ("woman, cafe, 85mm, bokeh, golden hour, 8k") throws those relationships away and lands on a generic average. Describe the scene the way you'd brief a photographer.

Is Nano Banana output commercially usable, and what is SynthID?

Commercial rights depend on your Google plan and the current Gemini usage terms, so check the terms tied to your account before shipping paid or branded work. Every image also carries an invisible SynthID watermark that identifies it as AI-generated (free tiers add a visible mark too). SynthID does not stop commercial use, but it means the image is detectable as AI, which matters for disclosure and for platforms that require it.

When should I edit conversationally instead of regenerating?

Once an image is roughly 80% right, edit it rather than rolling the dice again. Describe only the change and state what must stay identical — "keep the pose, lighting, and background exactly the same; change only the jacket to deep red." Regenerating from scratch throws away the composition and lighting you already liked and gives you a different face and frame. Conversational edits preserve the parts that worked and adjust just the one thing you named.

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