AI Realism Test: Comparing 17 Realistic Image Generation Models

We ran the same set of photography prompts through 17 realistic AI image models on getimg.ai, with prompt enhancement turned off, and judged every output on the details that decide whether a pro can actually use it: skin texture, material accuracy, hands and small objects, spelled text, and identity match. No single model won every category, but two came close. Nano Banana 2 was the only model that stayed top-tier on every prompt, GPT Image 2 was a hair behind, and FLUX.2 [max] and Seedream 5.0 Pro round out the leaders. The right pick still depends on whether you need faces, product text, interiors, or a reference likeness.

How we ran the test

Every image was generated with getimg.ai's Create image Action, and we turned prompt enhancement off for every generation. Prompt enhancement automatically rewrites your prompt before it reaches the model, and it can reword the same base prompt slightly differently from one run to the next. Turning it off keeps the comparison fair: every model receives the exact same prompt, so any difference in the output comes from the model rather than from a reworded version of it.

Each model got one generation per prompt across the main categories, so the results reflect a realistic first attempt rather than a best-of-many cherry pick. The one exception is fast drafts, where we generated four images per model to test consistency, since the cheaper models are the ones you tend to run at higher volume.

We scored against criteria that matter in real commercial work, not vague "looks nice" impressions. A beautiful scene with a broken hand, a misspelled label, or the wrong person's face is a reject in a professional pipeline, so those defects carry the most weight.

The full lineup of 17 tested models is as follows:

Portraits: skin, age, and facial anatomy

Portraits are the hardest realism test because human eyes are tuned to spot fake skin. We used two prompts with opposite demands: an extreme beauty close-up that rewards pore-level micro-texture, and a 64-year-old character study that rewards believable aging. We scored skin texture (pores, peach fuzz, no waxy sheen), facial anatomy, lighting accuracy, and how well the model hit the specific styling in the prompt.

Beauty macro close-up

Prompt:

• Extreme beauty close-up of a young woman with natural pores, peach fuzz, tiny freckles and realistic skin variation, glossy dark blue lips, individual eyelashes, slightly wet eyebrows, strands of wet black hair crossing her face, soft direct flash combined with deep blue shadows, intense eye contact, imperfect editorial beauty, Pinterest-coded makeup campaign, raw but luxurious, high-detail macro photography, shallow depth of field, realistic facial anatomy, horizontal 16:9.

GPT Image 2

GPT Image 1.5

GPT Image 1

Nano Banana 2

Nano Banana 2 Lite

Nano Banana Pro

Nano Banana

Seedream 5.0 Pro

Seedream 5.0 Lite

Seedream 4

Seedream 4.5

FLUX.2 [max]

FLUX.2 [pro]

FLUX.2 [klein]

Grok Imagine

Z-Image Turbo

Qwen Image

GPT Image 2 and Nano Banana 2 produced the most convincing skin here: natural pores, believable variation, and clean hair, with GPT Image 2 leaning to a slightly oilier, wetter editorial look and Nano Banana 2 crisp and precise.

FLUX.2 [max] rendered real pores, dense freckles and moles, and actual water droplets on the eyebrows the prompt asked for, but it pushed the micro-detail too far in places, with almost frozen, over-etched eyebrows that give it away, so it lands a step below the top two. Nano Banana Pro was similar, polished and filmic but a touch over the top on detail. Seedream 5.0 Pro gave an atmospheric, wet-sheened take that was convincing if a little soft, and Seedream 5.0 Lite was a pleasant surprise, with good lips and hair, wanting only a bit more skin texture.

At the weak end the failure was waxy, under-detailed skin. Qwen Image gave the skin a plasticky CGI sheen with painted-on freckles and droplets and a heavy blue cast. FLUX.2 [pro] and [klein] both came out slightly unnatural and waxy in places, GPT Image 1 had barely any texture at all, and base Nano Banana was flatly waxy. The fair middle — Grok Imagine, Nano Banana 2 Lite, Z-Image Turbo, and both Seedream 4 and 4.5 — all read fine but simply lacked fine skin detail.

Character portrait with age

Prompt:

• Intimate fashion portrait of a charismatic man around 64 with swept-back silver hair, deep-set blue-gray eyes, pronounced cheekbones and a slightly crooked nose that gives his face character. His skin shows decades of natural exposure to the elements: fine lines around the eyes, subtle pigmentation, visible pores, faint broken capillaries around the nose and tiny irregularities in texture. He has a short silver beard with individual coarse hairs rather than a perfectly groomed shape. He wears an oversized black cashmere coat with a high collar and a single thin silver earring. His expression is distant and slightly melancholic, looking just past the camera rather than directly at it. A large soft window creates pale gray light across one side of his face while a narrow warm tungsten source catches the edge of his ear, beard and coat. Dark charcoal background, 85mm portrait lens, shallow depth of field, subtle analog grain, muted luxury fashion editorial, understated European menswear campaign.

GPT Image 2

GPT Image 1.5

GPT Image 1

Nano Banana 2

Nano Banana 2 Lite

Nano Banana Pro

Nano Banana

Seedream 5.0 Pro

Seedream 5.0 Lite

Seedream 4.5

Seedream 4

FLUX.2 [max]

FLUX.2 [pro]

FLUX.2 [klein]

Grok Imagine

Qwen Image

Z-Image Turbo

Aging is where models betray a bias toward smooth, young skin, and the two clear winners resisted it. GPT Image 2 gave a beautiful cinematic rim light on the ear and coat over genuinely weathered skin, and Nano Banana 2 nailed the window light on one side of the face with real age spots and pigmentation, landing a man who reads as a real 60-year-old.

Just behind them, FLUX.2 [max] delivered coarse individual beard hairs and good spots, though its skin looked slightly filtered around the eyes, and Seedream 4.5 rendered convincing weathered old-skin texture. Seedream 5.0 Pro produced a dramatic platinum-haired take, artistic and a touch soft, Seedream 5.0 Lite held decent skin detail, and Nano Banana Pro had good detail apart from a slightly odd lower ear.

Qwen Image was again the outlier, with waxy skin, unnatural hair and eyes, and age spots that looked airbrushed onto a 3D render. Grok made the man too smooth for his stated age, base Nano Banana and both FLUX.2 [pro] and [klein] went waxy, and GPT Image 1 had almost no texture. Z-Image Turbo was better here than on the young portrait but still read a little unnatural.

Portrait verdict: for skin and faces, professional-grade AI headshots came most reliably from GPT Image 2 and Nano Banana 2, the two clear leaders across both portraits. FLUX.2 [max] renders dense, real texture but sometimes overshoots into over-etched skin, and Nano Banana Pro, Seedream 4.5, Seedream 5.0 Pro, and Seedream 5.0 Lite are dependable runners-up. FLUX.2 [pro] and [klein], GPT Image 1, base Nano Banana, and Qwen Image were the weakest for human realism.

Product photography: material and label accuracy

Product work is unforgiving twice over. The material has to look real, and any printed label has to be spelled correctly and follow a hierarchy. We asked for both at once.

Prompt:

• Hyper-realistic luxury fragrance campaign photograph of a heavy rectangular perfume bottle made from pale smoky-green glass, standing on wet black basalt. Thick beveled edges, transparent cap with a tiny trapped air bubble, brushed silver collar and a small cream paper label on the front. The label must read exactly: VÉRIN / EAU DE PARFUM / NO. 07 / 50 ML / 1.7 FL OZ, with VÉRIN as the largest line and the remaining text progressively smaller. No other text or branding. The bottle contains translucent amber liquid, slightly darker toward the bottom, with condensation covering only the lower third and several droplets merging into irregular trails. Backlighting passes through the glass and liquid, creating subtle refraction and caustic patterns on the basalt, while a narrow hard light creates a razor-thin highlight along one beveled edge. 100mm macro, f/8, focus-stacked commercial photography, deep blacks, tactile glass and paper, realistic reflections, restrained luxury color grade, subtle analog grain. Expensive European fragrance campaign rather than CGI or e-commerce photography.

GPT Image 2

GPT Image 1.5

GPT Image 1

Nano Banana 2

Nano Banana 2 Lite

Nano Banana Pro

Nano Banana

Seedream 5.0 Pro

Seedream 5.0 Lite

Seedream 4.5

Seedream 4

FLUX.2 [max]

FLUX.2 [pro]

FLUX.2 [klein]

Grok Imagine

Z-Image Turbo

Qwen Image

GPT Image 2 and Nano Banana 2 led, both reproducing the full label cleanly, including the accented É and the correct size hierarchy, with convincing refraction, and GPT Image 2 added the most believable lighting in the group. FLUX.2 [max] was very detailed but pushed the bottle's condensation into overkill, and Seedream 5.0 Pro spelled the label correctly with a slightly flatter hierarchy and a soft finish. Seedream 5.0 Lite held together well despite slightly odd condensation.

From there the small text and materials started to slip. Nano Banana Pro kept the label correct but rendered the bottle awkwardly, GPT Image 1.5 nailed the label but looked artificial under its gold lighting, and both FLUX.2 [pro] and [klein] held the label while missing on condensation or fine detail. Nano Banana 2 Lite kept the text but came out flat, base Nano Banana dropped the decimal and printed "17 FL OZ," Seedream 4.5 was detailed but duplicated the "07," and Z-Image Turbo had odd condensation and slightly fuzzy text.

The clear failures were the older or more lightweight models: Grok Imagine went fuzzy and flat, Qwen added weird physics and fuzzy text, Seedream 4 garbled the lower lines into "30 ML," and GPT Image 1 produced "EAU DE PARTUW" and a garbled volume line. On a prompt this text-critical, those are unusable without a second pass.

Product verdict: for product and packaging shots for e-commerce, GPT Image 2 and Nano Banana 2 are the safe choices when a label must be exact, with FLUX.2 [max], Seedream 5.0 Pro, and Seedream 5.0 Lite close behind. Avoid GPT Image 1, Seedream 4, Qwen Image, and Grok Imagine for small printed text.

Lifestyle: candid flash and multi-person anatomy

A four-person night scene tests everything a portrait does not: multiple sets of hands, natural non-posed interaction, the authentic harshness of disposable-camera flash, and legible signage. Hands are the classic failure mode, so we zoomed in on every one.

Prompt:

• Flash photograph of four friends leaving a tiny underground club at night, standing beneath a red neon sign (club name "2:13 AM") in a narrow rain-soaked alley. Their clothes are individually styled: one wears a silver metallic jacket, another an oversized burgundy leather coat, another a sheer black top layered over a white tank, and the fourth wears a vintage football jersey. They are not posing together: one is laughing while looking away, one is checking a phone, one has an arm around another person's shoulder and the fourth is halfway through lighting a cigarette. Wet pavement reflects distorted red and green signage. Direct disposable-camera flash creates harsh highlights on skin and clothing while the background falls rapidly into darkness. Slightly blown flash highlights, red-eye almost but not quite visible, high ISO grain, imperfect focus, 28mm point-and-shoot aesthetic, contemporary fashion editorial mixed with authentic nightlife photography.

GPT Image 2

GPT Image 1.5

GPT Image 1

Nano Banana 2

Nano Banana 2 Lite

Nano Banana Pro

Nano Banana

Seedream 5.0 Pro

Seedream 5.0 Lite

Seedream 4.5

Seedream 4

FLUX.2 [max]

FLUX.2 [pro]

FLUX.2 [klein]

Grok Imagine

Z-Image Turbo

Qwen Image

This category looks strong at a glance and falls apart under a hand check. GPT Image 2 came through cleanest, with a very authentic snapshot, plenty of detail, and hands that held up. Nano Banana 2 was just as authentic and detailed, if a little less gritty than GPT Image 2.

After those two, the cracks showed. FLUX.2 [max] had a lot of detail on clothes, faces, and the environment but added a stray, unasked-for element in the phone-holder's hand. GPT Image 1.5 makes a gritty, detailed frame that falls apart in the details: the woman with her hand on a shoulder has a malformed thumb and inconsistent nail polish (one nail unpainted while the rest are done), and the football jersey number is garbled.

Fair-but-flawed came next. FLUX.2 [pro] had soft faces and awkward hands, Nano Banana Pro rendered a believable group but floated the "2:13 AM" as bodiless red digits with no physical neon sign, and both Seedream 5.0 Pro and Z-Image Turbo had nice detail undercut by unnatural hands.

The rest broke outright on anatomy: FLUX.2 [klein], base Nano Banana, Nano Banana 2 Lite (which also repeated the sign text), Seedream 4.5, and Seedream 5.0 Lite all mangled hands, Seedream 4 mangled faces, GPT Image 1 went waxy and soft, Grok softened the skin and over-reddened the eyes, and Qwen gave two figures glowing red laser-eyes over a plasticky look.

Lifestyle verdict: only GPT Image 2 and Nano Banana 2 came through clean enough to trust unedited for candid social media content and editorial nightlife work. FLUX.2 [max] and GPT Image 1.5 are close but need a hand check, and this scene punished almost everyone else on hands. Always check hands, even on the winners.

Interiors: perspective, light, and lived-in clutter

Architectural realism depends on correct perspective, believable directional light, real material texture, and, in this case, an intentionally imperfect maximalist mess rather than a staged showroom.

Prompt:

• Highly editorial photograph of a narrow 1970s Mediterranean villa bedroom with an intentionally imperfect maximalist interior. Terracotta plaster walls, dark walnut built-in wardrobes, faded striped linen bedding, a low vintage chrome bed frame, an antique ceramic lamp, books stacked unevenly on the floor, an old leather suitcase partially open beside the bed and a huge abstract textile hanging above the headboard. One curtain is fully open and the other is partly closed. Bright Mediterranean sunlight enters from the left and creates hard shadows across the bed, while the far side of the room remains noticeably darker. Dust particles are barely visible in the sunlight. Shot from waist height on a 28mm lens, editorial architecture photography, realistic perspective, slightly imperfect exposure, tactile plaster and linen, subtle signs of age and wear. Not a staged hotel room, not a showroom, not Scandinavian minimalism.

GPT Image 2

GPT Image 1.5

GPT Image 1

Nano Banana 2

Nano Banana 2 Lite

Nano Banana Pro

Nano Banana

Seedream 5.0 Pro

Seedream 5.0 Lite

Seedream 4.5

Seedream 4

FLUX.2 [max]

FLUX.2 [pro]

FLUX.2 [klein]

Z-Image Turbo

Grok Imagine

Qwen Image

Most models handled geometry well, so this prompt came down to light, finish, and one recurring trap: the stacks of books. Nano Banana 2 led, with the most convincingly un-staged, genuinely messy room and detailed, realistic surfaces. GPT Image 2, Nano Banana Pro, and Seedream 5.0 Pro all produced strong directional light and rich detail, held back a little by slightly unnatural book spines or a soft finish, and FLUX.2 [max] had dense, tactile plaster and detail that tipped slightly into the unnatural. Z-Image Turbo, a budget-friendly model, kept clean perspective but came out soft and short on detail.

The stumbles were about light, finish, and those book spines rather than structure. Grok Imagine, Nano Banana 2 Lite, both Seedreams (4.5 and 5.0 Lite), FLUX.2 [pro], and base Nano Banana all had good detail spoiled by weird book renders or a too-soft look. GPT Image 1.5 over-distressed the walls into a painting-like near-ruin, GPT Image 1 came out flat and underlit, Seedream 4 lacked detail, and FLUX.2 [klein] went soft with mangled book spines. Qwen was the outlier again, turning the "dust in sunlight" into exaggerated CGI glitter over an illustrative, over-saturated finish.

Interior verdict: for interior and architectural visualization, Nano Banana 2 led outright, with GPT Image 2, Nano Banana Pro, Seedream 5.0 Pro, and FLUX.2 [max] close behind. Book spines were the single most common failure across the field, so check any rendered text or dense objects before you use a frame.

Text inside images: the sharpest divider

This prompt packs seven separate blocks of text at different sizes into one advertising panel, plus a mechanically accurate bicycle. It separated the field more cleanly than any other test.

Prompt:

• Photorealistic photograph of a premium electric bicycle displayed inside a contemporary city showroom. The bicycle is positioned in front of a huge glass storefront looking onto a rainy street. Behind the bicycle is a professionally designed floor-to-ceiling advertising panel containing multiple levels of readable typography. Main headline: RIDE LIGHT. LIVE LARGE. Secondary headline: THE ARC S1. Body copy: A lightweight urban electric bike engineered for everyday movement. 250 W motor. Up to 120 km range. Integrated lighting. Hydraulic disc brakes. Specification line: FRAME: ALUMINUM / MOTOR: 250 W / BATTERY: 540 WH / WEIGHT: 16.8 KG. Price: FROM €2,899. CTA: BOOK A TEST RIDE. Footer: ARC MOBILITY · WARSAW · BERLIN · COPENHAGEN. The hierarchy must feel like a real premium mobility advertisement, with the headline dominating, the product name second, specifications much smaller, and the CTA visually distinct. All text must be correctly spelled and remain horizontal and geometrically aligned. The bicycle itself must have physically accurate spokes, brake rotors, cables, chain, pedals and frame geometry. Wet pavement outside reflects the showroom lighting. Rain droplets are visible on the glass. Interior lighting is warm while the exterior is cool and blue-gray. 50mm commercial photography, subtle reflections, realistic glass, restrained depth of field, slight high-ISO grain.

GPT Image 2

GPT Image 1.5

GPT Image 1

FLUX.2 [klein]

Nano Banana 2

Nano Banana 2 Lite

Nano Banana Pro

Nano Banana

Seedream 5.0 Pro

Seedream 5.0 Lite

Seedream 4.5

Seedream 4

FLUX.2 [max]

FLUX.2 [pro]

FLUX.2 [klein]

Grok Imagine

Z-Image Turbo

Qwen Image

Three models effectively passed. GPT Image 2 reproduced all seven text blocks correctly with an accurate bike, Nano Banana 2 rendered every block including a correctly mirrored reflection in the glass, and Seedream 5.0 Pro matched them with a fully correct, detailed layout. FLUX.2 [max] was close behind, detailed and accurate but with the bottom text block misplaced, and it still produced one of the most physically accurate bicycles in the test.

Below that, the smallest text is where models tripped. Nano Banana Pro, otherwise capable, mis-set the spec line as "350 W" and "S40 WH." FLUX.2 [pro] dropped the decimal in the weight and faded the footer, GPT Image 1.5 omitted the footer, and Grok Imagine went a little fuzzy with minor slips. Seedream 5.0 Lite kept the big text crisp but riddled the body copy with typos and used a pound sign instead of a euro.

The genuine failures were widespread: FLUX.2 [klein], base Nano Banana, Nano Banana 2 Lite, Seedream 4.5, Seedream 4, and Z-Image Turbo all mangled the dense text, GPT Image 1 turned the body copy into gibberish, and Qwen dropped the entire second headline line ("LIVE LARGE") and jumbled the specs.

Text verdict: for layouts that depend on rendering legible text, GPT Image 2, Nano Banana 2, and Seedream 5.0 Pro are the models we would trust on a first pass, with FLUX.2 [max] close but for a misplaced block. For very long or dense copy specifically, GPT Image 2 and Nano Banana 2 are the most dependable. The lighter and older models still need a human to fix the small type.

Reference-based realism: keeping the same face

Reference-based generation is judged differently. Every model here produced a photographically believable backstage scene, so realism was not the question. The question was whether it kept the reference person's identity. We supplied a portrait of a young man with distinctive loose golden curls, green eyes, and freckles, and asked for a full scene and styling change while preserving his face.

Reference photo (identity input)

Prompt:

• Using the supplied portrait as the identity reference, preserve the subject's exact facial identity, distinctive facial proportions, eye shape, nose, lips, jawline, freckles and hairline. Transform the scene completely into a nighttime backstage photograph at a major fashion show. The same person is now wearing a white t-shirt and a black leather biker jacket with wet-look hair and minimal metallic makeup. They are standing beside a concrete backstage wall covered with partially torn show posters while makeup artists and models move through the background. Direct flash illuminates the subject while the background contains fragmented red and cyan practical lighting. Preserve recognizable identity despite the new lighting, styling, environment and camera angle. The result should look like a genuine backstage photograph shot by a fashion photographer, not a studio recreation. Visible pores, individual hair strands, realistic skin response to flash, slight motion blur in background figures, 35mm lens, high ISO, imperfect framing.

GPT Image 2

GPT Image 1.5

GPT Image 1

Nano Banana 2

Nano Banana 2 Lite

Nano Banana Pro

Nano Banana

Seedream 5.0 Pro

Seedream 5.0 Lite

Seedream 4.5

Seedream 4

FLUX.2 [max]

FLUX.2 [klein]

FLUX.2 [pro]

Grok Imagine

Z-Image Turbo

Qwen Image

The key detail is that "wet-look hair" means wet curls, not straightened hair. The models that kept the curls and simply dampened them preserved the identity. Nano Banana 2, GPT Image 2, Seedream 5.0 Pro, and FLUX.2 [max] all did this well, holding the curls, freckles, green eyes, and jaw while completely rebuilding the scene. GPT Image 2 in particular reads as unmistakably the same person in an authentic backstage frame. Just behind them, Nano Banana Pro and FLUX.2 [pro] preserved the identity well with a little less fine detail, and Nano Banana 2 Lite kept a good likeness.

The failures mostly made the same mistake: they replaced the signature curls with straight or slicked hair, which changes the person. GPT Image 1 and the base Nano Banana both slicked the hair straight and rendered a different face, FLUX.2 [klein] drifted toward a different, longer face, Seedream 4 mangled the faces, and Qwen and Z-Image Turbo went furthest, rendering essentially a different man (Z-Image cropped the hair short).

Seedream 4.5 and Seedream 5.0 Lite landed a decent likeness but lost it to soft, low-detail or AI-looking skin, and GPT Image 1.5 and Grok were only slightly off. For generating consistent AI characters, the hair swaps are misses regardless of how good the scene looks.

Reference verdict: to keep a character's identity consistent when generating from a reference image, Nano Banana 2, GPT Image 2, Seedream 5.0 Pro, and FLUX.2 [max] are the strongest, with Nano Banana Pro and FLUX.2 [pro] close behind. Older base models tend to drift to a different face.

Fast drafts: speed and cost tier

For quick iteration you usually reach for a fast, inexpensive model, and because it is less expensive you tend to generate at higher volume. That makes consistency across many runs matter more than any single hero frame, so we judged these on a food prompt with four images each rather than one.

The contenders here are the lightweight and turbo tier: FLUX.2 [klein], Grok Imagine, Nano Banana 2 Lite, Qwen Image, Seedream 5.0 Lite, and Z-Image Turbo. For fast work, realism at speed and correct props matter, but so does getting a usable result most of the time.

Prompt:

• High-end editorial photograph of a slice of pistachio cake on a small ceramic plate in a dark restaurant, glossy pistachio cream, silver fork beside the plate, warm candlelight against cool window light, shallow depth of field, 50mm food photography, rich textures, slightly imperfect composition, sophisticated restaurant campaign, photorealistic.

Nano Banana 2 Lite

Seedream 5.0 Lite

FLUX.2 [klein]

Grok Imagine

Z-Image Turbo

Qwen Image

Nano Banana 2 Lite was the standout: natural, appetizing pistachio color (a muted green, not neon), refined plating touches like rose petals and gold leaf, clean forks, and a consistent warm-candle-against-cool-window mood across all four generations. Seedream 5.0 Lite produced the same excellent color and mood, but a melted, ill-defined fork spoiled two of its four frames.

Grok was close on the food, with the most natural cream color; its frames run dark, but the prompt explicitly asks for a dark restaurant, so that reads as on-brief rather than a fault, even if the underexposure does make the background look a little plasticky. Z-Image Turbo was consistently clean and appetizing with well-formed forks throughout.

The other two showed themselves to be less reliable. FLUX.2 [klein] rendered the cake reliably but botched props: two of its frames placed a second, unasked-for fork, and that extra fork's head came out melted and malformed, on top of a glaze pushed toward neon matcha. Qwen was the weakest: the cake looked plasticky and CGI-rendered, with unnatural painted swirls in the cross-section and an over-glossy glaze closer to a 3D render than a photograph.

Fast-drafts verdict: for cost-effective, consistent stock imagery (like food photography) and quick drafts, Nano Banana 2 Lite is the most reliable, with Seedream 5.0 Lite matching its color and mood apart from an occasional melted fork. Z-Image Turbo and Grok Imagine are dependable, clean options too. FLUX.2 [klein] renders good cake but botched props in half its frames, and Qwen was the weakest, with the least photographic finish.

Overall results

Across all seven prompts, two models stayed strong in essentially every category: Nano Banana 2 and GPT Image 2. Nano Banana 2 is the only model that earned a top or strong grade on every single prompt, which nudges it ahead as the cleanest all-rounder, and GPT Image 2 is a hair behind, dipping only slightly on interiors.

FLUX.2 [max] and Seedream 5.0 Pro form the next tier: both are excellent where they are strong, FLUX.2 [max] on reference likeness and dense material texture, Seedream 5.0 Pro on text and reference, but each has a soft spot, FLUX.2 [max] overshooting skin detail and Seedream 5.0 Pro slipping on multi-person hands. Nano Banana Pro is strong on portraits, interiors, and reference likeness but drops to the middle of the pack on product, lifestyle, and text.

The matrix below pulls every per-prompt rating into one grid, on the same scale used in the tables above: A means top, B strong, C fair, and D weak.

Three patterns are worth naming. First, Qwen Image was consistently the least photographic model, defaulting to a glossy CGI finish and producing object, text, and identity errors across every category. Second, hands and small text were the great separators: the multi-person lifestyle scene and the dense typography panel knocked a wide band of otherwise capable models down to weak, and only Nano Banana 2 and GPT Image 2 cleared both.

Third, the older or lighter models (GPT Image 1, base Nano Banana, Seedream 4, and FLUX.2 [klein]) are still passable on simple scenes but break down on skin, small text, and reference identity, which is exactly where the newer models pulled ahead.

How to choose a realistic model for your use case

The honest answer is to match the model to the failure mode you cannot tolerate. Our category winners map cleanly to real jobs:

• Beauty and skin-heavy portraits: GPT Image 2, Nano Banana 2 (FLUX.2 [max] is close but over-etches skin)
• Character and age realism: GPT Image 2, Nano Banana 2
• Product with printed labels: GPT Image 2, Nano Banana 2, then FLUX.2 [max] and Seedream 5.0 Pro
• Candid lifestyle and flash: GPT Image 2 and Nano Banana 2
• Interiors and architecture: Nano Banana 2, then GPT Image 2, Nano Banana Pro, Seedream 5.0 Pro, and FLUX.2 [max]
• Dense typography and ad layouts: GPT Image 2, Nano Banana 2, and Seedream 5.0 Pro (FLUX.2 [max] is close)
• Reference and identity preservation: Nano Banana 2, GPT Image 2, Seedream 5.0 Pro, FLUX.2 [max]
• Fast, budget-friendly drafts: Nano Banana 2 Lite, Seedream 5.0 Lite, Z-Image Turbo, Grok Imagine

If you want one model for most realistic work, Nano Banana 2 is the safest pick, since it was the only model that stayed top-tier on every prompt, with GPT Image 2 an essentially equal second. If your work lives on skin texture and material realism, the FLUX.2 family rewards the extra detail as long as you watch for over-etched skin.

Because all of these are available on getimg.ai, testing your own prompt across a few of them is quick and easy.

What makes an AI image look realistic

Realism in an AI image comes down to the same cues the eye uses to trust a real photograph, and the models that pull ahead are the ones that get the unglamorous details right rather than the composition, which nearly every model here handled well. Five factors decide it:

1. Micro-texture: real skin has pores, peach fuzz, fine lines, and uneven tone. Over-smoothing reads as plastic or waxy on sight.
2. Physically correct light: believable falloff, shadows that match a single source, and reflections that sit right on glass, metal, and skin.
3. Imperfection: grain, slightly off framing, asymmetry, and natural wear. Flawless, symmetrical, evenly lit images look synthetic.
4. Anatomy and small objects: hands, teeth, ears, and props like cutlery are where AI still breaks, and one melted fork or extra finger undoes the whole frame.
5. Accurate text: any legible label or sign has to be spelled correctly, or the image reads as fake immediately.

These are the cues a photographer controls on a shoot.

How to prompt for realistic images

Getting realistic results is mostly about how you prompt: describe the photograph you want the way a photographer would plan a shoot, not the way you would describe a painting. A few habits consistently help, and they matter more than any single style word.

Name the camera language

Lens (35mm, 85mm, 100mm macro), aperture or depth of field, and shot type anchor the perspective and focus. Check out our AI photography prompt book for examples.

Direct the light

Direction, quality (soft window light or hard flash), and color (warm tungsten against cool daylight) do more for realism than anything else.

Ask for imperfection

Grain, natural skin texture, slightly imperfect framing, and subtle wear. Realism lives in flaws, not polish.

Be exact about materials and text

Put any label copy in quotes, and describe how surfaces should behave, such as condensation, reflections, or refraction.

Skip the buzzword stack

"8K, ultra-HDR, hyper-detailed" rarely helps and often pushes an image toward a synthetic look. Plain, specific description wins.

Everything above is what reached each model directly, since we ran the whole test with prompt enhancement off.

The bottom line

Realism in 2026 is no longer a single leaderboard. The top models are close enough that the deciding factor is which small errors show up on your specific prompt: a waxy cheek, a misspelled label, a broken thumb, a plasticky CGI finish, or a stranger's face where your subject should be.

GPT Image 2, FLUX.2 [max], Nano Banana 2, and Seedream 5.0 Pro clear that bar most consistently, with Nano Banana Pro strong on faces and interiors but stumbling on the lifestyle sign and the product. The rest are useful when you know their weak spots and check the details before you ship.

All seventeen run in one place, so the fastest way to find your winner is to generate your own shot across a few of them on getimg.ai and judge the details that matter to your work.