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How to Get Extremely Realistic Photos with AI: A Detailed Prompt Guide

Copy six photorealistic AI prompts and see each one run on Seedream 5.0 Pro, Nano Banana Pro and GPT Image 2.5, with what to check before you keep a result.

Gaurav BisenGaurav Bisen
13 min read

To get an extremely realistic photo from AI, describe what a camera would see, in this order: the subject, the setting, where the light comes from, the framing, a few real textures, and the mood. Asking for "a realistic photo" or stacking words like "ultra realistic" does far less. Below are six prompts that produced the photos shown, each with the details to check before you keep a result.

Run any of them in Masonry's canvas. Generate three images per prompt and keep the set that holds anatomy, texture, and background, not just the luckiest frame.

Which model to use: results from all six prompts

We ran every prompt in this guide, unchanged, on three current models and compared the first results. Each example below shows all three.

ModelFollowed the prompt bestWatch out for
Seedream 5.0 ProWon 3 of 6 outright, tied the other 3Slightly glossy, retouched skin
Nano Banana ProTied 2 of 6, and the most natural skinReads some prompts as a casual phone photo; one impossible selfie pose
GPT Image 2.5 SunburstTied 1 of 6Adds things you did not ask for, including real brand logos in 3 of 6 images

Our pick: start with Seedream 5.0 Pro when the image has to match a brief, and switch to Nano Banana Pro for close-ups where skin texture matters most. If your prompt names clothing, shoes, bags, or sports gear, add "no brand logos" and zoom in on every item before you publish. One run per model per prompt, so treat this as a starting point, not a benchmark.

Quick answer: the six-part prompt formula

A useful photorealistic prompt settles six decisions in this order: subject, setting, light, framing, material detail, and mood. Start with this template, then delete any slot that does not change the image:

Prompt

[Subject and action] in [specific setting]. Lit by [source, direction, and softness], creating [shadow and highlight behavior]. Framed as [shot size and camera position] with [depth-of-field behavior]. Preserve [two or three material, skin, fabric, or product textures]. [Color palette and emotional tone]. Natural imperfections, believable background geometry, no unwanted text or logos.

Opens with the prompt already filled inTry this prompt

Do not treat the template as a bag of magic words. It is a checklist for unresolved visual decisions. If a detail would not be visible in the finished frame, it probably does not belong in the prompt.

Shooting a real product? Use the AI product-photography model comparison instead. It covers the label, shape, and color errors that a realistic-looking image can still hide.

A simple way to test whether a prompt improved

Run the same prompt three times before judging it. Then change one variable (light, framing, or texture language) and run three more. Score both sets on four things: subject anatomy, material texture, background geometry, and instruction following. This small controlled test tells you whether the wording helped or whether one attractive result was luck.

How to read the six examples

Do not copy the adjectives and assume they are magic tokens. Look for visible relationships:

  1. Light: source, direction, softness, and the shadows that should result.
  2. Framing: shot size, camera position, foreground scale, and depth-of-field behavior.
  3. Material: a few surfaces whose texture can actually be inspected.
  4. Scene logic: contact shadows, reflections, repeated objects, hands, and background geometry.
  5. Mood: the color and expression choices that remain after the physical scene is settled.

Camera and lens language is useful only when it describes a visible effect. A model may imitate shallow focus, but that does not mean it simulated a real lens or aperture exactly.

Example 1: The Moody Window Portrait

Here's the prompt:

Prompt

Close-up portrait of a person sitting beside a window on an overcast day, soft natural light illuminating one side of the face while the other fades into shadow. Visible skin texture, subtle freckles, calm expression, eyes gazing outward. Neutral clothing, minimal styling, shallow depth of field, cinematic realism, moody yet peaceful atmosphere, high-detail editorial photography.

Opens with the prompt already filled inTry this prompt

What the prompt controls

  • Light: an overcast window is the source; the near cheek is brighter and the far side falls into shadow.
  • Framing: the close crop and outward gaze make the face the only focal point.
  • Texture: freckles, pores, eyelashes, and the knit collar provide several inspectable surfaces.
  • Acceptance check: reject candidates with mismatched catchlights, melted eyelashes, waxy skin, or a background edge crossing the face.

What this output shows: the side light, freckles, soft background, and calm outward gaze all came through.

The same prompt on three current models

We ran the window-portrait prompt above, unchanged, on three current models in Masonry at 9:16 and kept each first result.

Nano Banana Pro: the most natural skin, with visible pores, freckles, and fine lines.
Seedream 5.0 Pro: the tightest close-up and the cleanest one-sided light, closest to the framing the prompt asks for.
GPT Image 2.5 Sunburst: strong side light and a polished look, but it added a hand-to-chin pose the prompt did not ask for.

Verdict for this prompt: all three got the overcast side light right. For the most believable skin, use Nano Banana Pro; for the tightest match to the requested framing, use Seedream 5.0 Pro. One run per model, so treat it as a starting point and test your own subject.

Example 2: The Athletic Lifestyle Portrait

Here's the prompt:

Prompt

A close-up portrait of a young woman on an outdoor basketball court, bathed in warm natural sunlight. She has dewy, glowing skin with soft freckles, light makeup, and slightly parted lips. Her hair is tied back neatly, with a few loose strands framing her face. A basketball is positioned close to her cheek, dominating part of the foreground and adding texture contrast to her smooth skin. The lighting creates gentle shadows and highlights across her face, emphasizing her natural features and sporty confidence. Shot with a shallow depth of field and cinematic color grading for a modern, lifestyle aesthetic.

Opens with the prompt already filled inTry this prompt

What the prompt controls

  • Foreground scale: the basketball should occupy a large part of the frame without hiding the face.
  • Material contrast: pebbled rubber and skin should remain visually distinct.
  • Environment: court color and hard sunlight should support the sports context without becoming the focal point.
  • Acceptance check: inspect the ball's seams and lettering, the boundary where it touches the face, both eyes, and hairline geometry.

What this output shows: the ball sits close to camera, its texture contrasts with the face, and warm side light shapes the cheek and nose. Widen the crop if you want more of the court.

The same prompt on three current models

We ran the court prompt above, unchanged, on the same three models at 9:16 and kept each first result.

Nano Banana Pro: the most natural skin again, but it read the prompt as a casual phone photo, not a cinematic close-up.
Seedream 5.0 Pro: the closest match to the brief, with parted lips, freckles, shallow depth of field, and cinematic grading.
GPT Image 2.5 Sunburst: sharp ball texture and strong sun, but it put a real sportswear logo on the top. We blurred it.

Verdict for this prompt: Seedream 5.0 Pro followed the brief most closely. Nano Banana Pro still had the most believable skin but changed the style. The unrequested brand logo from Sunburst is the bigger lesson: if the image is for an ad or a store, check clothing and props for third-party marks before you publish. One run per model.

Example 3: The Artist Documentary Portrait

Here's the prompt:

Prompt

Intimate portrait of a painter standing in a quiet studio, face partially turned toward the camera, specks of dried paint on hands and cheek. Soft directional lighting highlights skin texture and thoughtful eyes. Muted earth-tone color palette, blurred background with hints of canvases and brushes, shallow focus, authentic documentary-style portrait, high realism.

Opens with the prompt already filled inTry this prompt

What the prompt controls

  • Narrative detail: dried paint on the hands and cheek has a job; it identifies the subject's activity.
  • Palette: skin, paint, hair, and studio should stay within muted earth tones.
  • Focus: the eyes and hands must remain legible while studio details recede.
  • Acceptance check: hands are high-risk. Count fingers, trace every joint, and reject paint that merges fingers or erases nail boundaries.

What this output shows: paint marks, hands beside the face, a muted palette, and a soft studio background all match. For a more candid feel, ask for a mid-gesture pose.

The same prompt on three current models

We ran the painter prompt above, unchanged, on the same three models at 9:16 and kept each first result. All three passed the hand check: five fingers, clean joints, and paint that sits on the skin without merging fingers.

GPT Image 2.5 Sunburst: the strongest story, with paint-covered hands gripping brushes and a rag, and a lived-in studio behind her.
Seedream 5.0 Pro: the quietest, most documentary take, with small paint specks that read clearly as paint.
Nano Banana Pro: convincing aged skin and hands, but the orange paint on his cheek reads more like a skin blemish than paint.

Verdict for this prompt: a near tie. Pick GPT Image 2.5 Sunburst when the props should tell the story, and Seedream 5.0 Pro for a restrained documentary look. Small details like paint on skin are where models differ most, so zoom in before you accept. One run per model.

Example 4: The Street Style Selfie

Here's the prompt:

Prompt

A trendy young woman takes a casual street-style selfie on a sunny day. She has short, wavy brown hair and wears round rose-tinted sunglasses, puckering her lips playfully. She is dressed in a loose red-and-pink knit sweater layered over a white top, distressed denim shorts, and sporty sneakers. A large quilted blue shoulder bag hangs on her side, and she wears layered necklaces, including a cross pendant. The background shows an urban street with storefronts, graffiti art, parked cars, and pedestrians, all bathed in warm golden sunlight with long shadows. The style is photorealistic, modern, and urban with a relaxed, youthful vibe.

Opens with the prompt already filled inTry this prompt

What the prompt controls

  • Wardrobe hierarchy: the red-and-pink knit, blue bag, glasses, and necklace should remain separate objects with coherent straps and edges.
  • Action: the phone, gaze, arm position, and selfie framing must agree.
  • Background: storefronts, graffiti, people, and cars should read as an urban street without impossible scale changes.
  • Acceptance check: inspect every visible finger, the phone-camera orientation, necklace continuity, bag strap, clothing seams, and any accidental text.

What this output shows: the warm street light, colored knit, blue shoulder bag, glasses, and selfie action are all there. The phone shows in frame; add "phone out of frame" for a true front-camera look.

The same prompt on three current models

We ran the street selfie prompt above, unchanged, on the same three models at 9:16 and kept each first result. This prompt names a lot of wardrobe, so we checked every item and every brand mark.

Seedream 5.0 Pro: every requested item is there, the street reads right, and nothing carries a real brand mark.
GPT Image 2.5 Sunburst: the most convincing front-camera selfie, but it added a luxury logo to the bag and a sneaker logo. We blurred both.
Nano Banana Pro: good light and clothing, but the pose doesn't add up: one arm reaches for the camera while the other hand holds the phone.

Verdict for this prompt: Seedream 5.0 Pro is the one you could use as is. Sunburst nailed the selfie feel but drew real brand logos twice, the same problem as Example 2. Any prompt that names fashion items invites this, so check bags, shoes, and clothing before you publish. One run per model.

Example 5: The Intimate Glasses Close-Up

Here's the prompt:

Prompt

Extreme close-up portrait of a young woman with soft natural features, photographed from a slightly low angle. She wears round, thin metal-framed eyeglasses with clear lenses that catch subtle reflections of ambient light. Her gaze is directed upward and to the side, creating a thoughtful, introspective expression. The focus is sharply centered on one eye visible through the glasses, revealing fine eyelashes, delicate skin texture, faint freckles, and natural pores. Her lips are relaxed and slightly parted, with a soft matte texture and muted natural color. Dark, slightly tousled hair frames the face, with loose strands falling naturally across the forehead and temple. The lighting is soft and diffused, producing gentle shadows and a shallow depth of field that blurs the background into a dark, unobtrusive gradient. Color palette is subdued and cinematic, leaning toward cool greens and warm skin tones. Photorealistic, editorial-style portrait photography, intimate mood, high resolution, minimal retouching, natural beauty emphasis, no text, no logos.

Opens with the prompt already filled inTry this prompt

What the prompt controls

  • Focus target: one eye through the glasses should be the sharpest point.
  • Optical interaction: the rims, nose pads, and reflections must follow the face instead of floating above it.
  • Microtexture: eyelashes, pores, freckles, lips, and fine hair provide a demanding close-range check.
  • Acceptance check: reject duplicated lashes, broken rims, asymmetric lenses, reflections that ignore lens curvature, or skin texture that repeats as a pattern.

What this output shows: the low angle, one-eye focus, cool-green cast, freckles, and lens reflections are all visible. Check the glasses at full size before you use it.

The same prompt on three current models

We ran the glasses prompt above, unchanged, on the same three models at 9:16 and kept each first result. At full size, all three drew rims, nose pads, and lens reflections that sit on the face.

Seedream 5.0 Pro: the closest match, with the low angle, upward gaze, and cool green palette the prompt asks for.
GPT Image 2.5 Sunburst: the finest lashes and freckles, but a warm palette instead of the requested cool greens.
Nano Banana Pro: natural skin and clean reflections, but a wider frame and a sideways gaze rather than upward.

Verdict for this prompt: Seedream 5.0 Pro. It is the only one that followed the angle, gaze, and color direction together. One run per model.

Example 6: The High-Fashion Studio Shot

Here's the prompt:

Prompt

A stylized studio fashion photograph of a woman in winter sportswear, posed in a dynamic crouching stance against a dark, neutral background. She is wearing a textured purple fleece jacket with a bright green zipper and collar detail, paired with light gray knit leg warmers and gray alpine ski boots with visible buckles. A black glove covers one hand as she grips a ski pole, reinforcing the winter sport theme. Fine artificial snow is scattered on the ground and lightly dusts her skin and boots, suggesting a cold, alpine environment despite the indoor studio setting. Her hair is pulled back tightly, and the lighting emphasizes natural skin texture and highlights, giving the image a high-fashion, editorial feel rather than an action shot. The camera angle is slightly low and close, creating an intimate yet powerful composition that blends sport, fashion, and attitude. The overall mood is bold, modern, and confident, with strong contrast between the vibrant clothing and the dark background.

Opens with the prompt already filled inTry this prompt

What the prompt controls

  • Genre boundary: studio lighting and a neutral backdrop should coexist with snow and technical ski clothing.
  • Material separation: fleece, knit, leather or plastic buckles, snow, skin, and metal pole should not melt together.
  • Pose: the crouch must remain anatomically plausible while both boots and the pole support the composition.
  • Acceptance check: inspect every buckle, pole continuity, hand grip, boot geometry, knee direction, and where snow contacts the body.

What this output shows: the purple fleece, green trim, boots, pole, artificial snow, low camera, and dark studio all appear.

The same prompt on three current models

We ran the ski editorial prompt above, unchanged, on the same three models at 9:16 and kept each first result. All three kept the crouch plausible and the buckles intact.

Seedream 5.0 Pro: the closest match to the low, close camera, with the strongest purple and green contrast.
Nano Banana Pro: the only one that kept the glove on just one hand, as written. The camera sits higher than asked.
GPT Image 2.5 Sunburst: the most dramatic light and snow, but it gloved both hands and printed a real ski brand on the boot. We blurred it.

Verdict for this prompt: use Seedream 5.0 Pro for the composition or Nano Banana Pro for literal detail. Sunburst added a brand logo for the third time in six prompts. One run per model.

Turn a good-looking output into a reproducible result

A single attractive image is a candidate, not a conclusion. Save the prompt, model, aspect ratio, and each output from the six-image test. Then use this compact acceptance sheet:

Check0: reject1: usable with edits2: ready
Anatomy and object countBroken, duplicated, or missing partsMinor edge or pose issueCoherent at full size
Material textureWaxy, merged, or repeated patternMostly distinct surfacesMaterials remain distinct under zoom
Background geometryImpossible lines or scaleSmall local inconsistencyPerspective and contact feel coherent
Instruction followingMisses a required relationshipGets most required detailsAll acceptance-critical details appear

Score the three baseline images and three one-variable variants out of eight. Keep the revision only if the set improves, not because its best image is prettier. Record any failure that appears twice; that recurring failure becomes the next prompt change.

Key Vocabulary for Photorealism

Use terms that point to something visible. These are options, not guarantees:

For Skin

  • Visible skin texture
  • Natural pores and fine facial hair
  • Subtle freckles or uneven pigmentation
  • Fine lines around the eyes and lips
  • Minimal retouching

For Lighting

  • Soft natural light
  • Large diffused source at camera left
  • Warm low-angle sunlight with long shadows
  • Soft contact shadow under the subject
  • Narrow rim light along one edge

For Photography Style

  • Shallow depth of field
  • Eye-level, low-angle, or overhead framing
  • Chest-up, full-body, or extreme close-up crop
  • Documentary, editorial, or catalog composition
  • Foreground sharp; background progressively softer

For Mood

  • Moody yet peaceful
  • Quiet and observational
  • Energetic without a staged smile
  • Bold and graphic
  • Relaxed and candid

Common Mistakes to Avoid

When an otherwise promising prompt misses, these are the first patterns to check:

  1. Stacking quality words: "masterpiece, 8K, award-winning, photorealistic" does not resolve the scene. Replace the stack with one visible instruction.
  2. Naming light without its effect: "cinematic lighting" is ambiguous. State the source, direction, softness, and resulting shadow.
  3. Over-specifying invisible details: a camera body name or fabric fact that cannot appear in the frame only adds noise.
  4. Changing five variables at once: you cannot tell which revision helped. Change one relationship and rerun the same number of candidates.
  5. Using a broad negative list: exclusions can conflict with the positive brief. Name only the failure that would make the output unusable.
  6. Judging at thumbnail size: inspect eyes, hands, accessories, text, reflections, contact shadows, and background edges at full resolution.

Diagnose the output instead of adding more adjectives

If the result looks like thisThe prompt is probably missingAdd a visible instruction like
Flat, evenly lit, and syntheticLight direction and contrast"Large window at camera left; far side falls one stop darker"
Plastic skin or waxy fabricMaterial-specific microtexture"Visible pores and fine facial hair" or "open wool weave with loose fibers"
Subject pasted onto the backgroundShared light and environmental contact"Warm storefront light reflects on the jacket; soft contact shadow under both shoes"
Busy scene with no focal pointVisual hierarchy and framing"Chest-up frame; eyes in sharp focus; background two stops softer"
Random signs or letteringA narrow exclusion"No readable signs, captions, watermarks, or logos"

Fix the first visible failure, then rerun. Adding five unrelated quality terms at once makes it impossible to learn which instruction changed the result.

The bottom line

Better photorealistic prompts make visible decisions testable. Define the subject and setting, describe what the light does, choose a frame, name a few inspectable materials, and set the mood. Then generate more than once and reject outputs that fail anatomy, texture, geometry, or an acceptance-critical instruction.

Start with one example above, adapt it to your subject, and paste it into Masonry's canvas. Run three baselines, change one relationship, and run three variants. That small record is more useful than a gallery of unrelated favorites because it tells you what to keep for the next image.

For prompting quirks specific to each model, see our guide to prompting every major AI image model. If your realistic shots are products, start with the 12 ecommerce product-photography prompts to add exact-SKU authority, placement constraints, and a merchant review gate; then use the best AI image model for product photography roundup to choose which model to test.

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FAQ

Questions from this guide

Concise answers to the questions readers ask after this guide

How do you write a photorealistic AI image prompt?

Specify six things in order: the subject, setting, light source and direction, framing or lens behavior, visible materials and textures, and the mood. Concrete relationships such as 'window light from camera left' are more useful than stacking vague quality words such as 'masterpiece' or 'ultra realistic.'

How long should a photorealistic AI prompt be?

Long enough to settle the visual decisions that matter, but no longer. A useful prompt is often 40 to 120 words. Extra adjectives can compete with each other, so add details only when they control the subject, light, composition, material, or mood.

Do camera and lens terms make AI images more realistic?

They can help when they describe a visible effect. 'Shallow depth of field with a close subject' is clearer than naming a camera body alone. Treat focal lengths and aperture values as compositional guidance, then verify the output rather than assuming the model simulated real optics exactly.

Should a photorealistic prompt include negative instructions?

Use a short exclusion list for failures that matter, such as unwanted text, logos, duplicate objects, or excessive skin smoothing. Negative instructions are a guardrail, not a substitute for a clear positive description of the scene.

Which AI model is best for photorealistic images?

We ran six portrait and fashion prompts, unchanged, on Seedream 5.0 Pro, Nano Banana Pro, and GPT Image 2.5 Sunburst. Seedream 5.0 Pro followed the prompt best in three of six outright and tied on the other three. Nano Banana Pro rendered the most natural skin. Sunburst added details nobody asked for, including real brand logos in three images. Start with Seedream 5.0 Pro for briefs and Nano Banana Pro for skin-focused close-ups.