Tips & Tricks8 min read
Camera Language in AI Prompts: Lenses, Apertures, Composition
Which camera terms appear in 9,599 real prompts, and the gap that matters: 11.1% ask for shallow depth of field, but only 6.2% name any aperture.
On this page
- The 11.1 percent problem
- Which camera terms do AI prompts actually use?
- Why asking for shallow depth of field usually fails
- Which focal length should you name?
- What each aperture actually does
- Framing: close-up, medium shot or full body?
- Camera angle: low, eye level or high?
- Composition terms: symmetry, negative space, centered
- A camera block you can paste into any prompt
- FAQ
- What camera settings should I put in an AI image prompt?
- Does writing 85mm or f/1.8 actually change the image?
- How do I get a blurred background in AI images?
- What is the most under-used camera term?
- Where can I see prompts that use these settings?
The 11.1 percent problem
In our corpus of published prompts, 11.1% ask for shallow depth of field. Only 6.2% name any aperture at all. Those two numbers are the whole article: most people describe the effect they want and leave out the setting that produces it.
Below is every camera and composition term we counted across 9,599 published prompts, how often each one appears, and what to write instead of the words that are doing nothing for you. Same corpus as our study of what 9,599 prompts contain — every item stored with its prompt, its model and the image it produced.
14.5%
of prompts mention depth of field
the single most common technical instruction in the corpus
11.1% vs 6.2%
ask for shallow depth of field vs name any aperture
of the prompts that ask for the effect, 77.6% never name the setting that produces it
4.9%
name 85mm — the leading focal length
ahead of 35mm at 3.5% and 50mm at 2.4%
Methodology, and what these numbers are not
Frequencies are exact string counts over 9,599 published prompts longer than 20 characters, as of August 2026. Where we mention engagement, it comes from on-site view counts, which are also affected by how long an item has been published and where the feed surfaced it — correlation, not proof of causation. Nothing here is a controlled experiment.
Which camera terms do AI prompts actually use?
All 23 camera and composition terms we counted, by share of the 9,599 prompts containing each one.
| Term | Share of prompts |
|---|---|
| depth of field | 14.5% |
| shallow depth of field | 11.1% |
| close-up | 9.3% |
| bokeh | 5.4% |
| symmetry / symmetrical | 5.1% |
| 85mm | 4.9% |
| 35mm | 3.5% |
| full body | 3.3% |
| negative space | 2.7% |
| low angle | 2.5% |
| 50mm | 2.4% |
| wide-angle | 2.4% |
| f/1.8 | 2.0% |
| medium shot | 1.8% |
| eye level | 1.4% |
| f/2.8 | 1.3% |
| centered composition | 1.3% |
| 24mm | 0.75% |
| high angle | 0.74% |
| f/1.4 | 0.69% |
| fisheye | 0.59% |
| f/4 | 0.45% |
| telephoto | 0.43% |
The shape of that list is worth reading twice. The top of it is outcomes — depth of field, bokeh, close-up. The bottom is settings — apertures, angles, specific focal lengths. People describe what the picture should look like far more often than they describe how it was taken.
One clarification before the rest: the model is not simulating optics. Writing 85mm, f/1.8 does not run a lens calculation — it selects for the visual signature that those words sit next to in the training data. That is exactly why the specific numbers work better than adjectives. f/1.8 is attached to millions of images that share a look. "Dreamy blur" is attached to almost anything.
Why asking for shallow depth of field usually fails
Shallow depth of field is not a style. It is the product of three things: a wide aperture, a longer focal length, and distance between your subject and the background. Ask for the look without any of the three and the model has to guess which of them you meant — so it usually gives you a mild, generic softening.
✕ Bad
portrait of a woman, shallow depth of field, cinematic, bokeh, professional photography✓ Good
portrait of a woman, 85mm, f/1.8, eye level, waist-up; sharp on the near eye, background 6m behind her fully dissolved into round highlightsThe second version is not longer for the sake of it. It replaces one adjective with four things the model can actually act on: focal length, aperture, focus point, and subject-to-background distance.
Morning Backlit Beauty
Nano Banana ProPrompt▾
Using Sony A7R V camera with 35mm f/1.4 lens, realistic shot, sharp and clear. Stunning 20-something Asian young woman with refined features like a top Korean girl group idol, sitting by the bed with wrinkled sheets in softly lit room. Simple loose white silk camisole nightgown, looking out the window. Soft morning light outlines her figure with backlit silhouette, revealing fine hairs on bare shoulders and arms. Fair and translucent skin showing unedited real texture. Tranquil, private, natural atmosphere, 8K resolution with natural film grain.
Which focal length should you name?
85mm leads at 4.9%, roughly 1.4× the rate of 35mm and twice that of 50mm. Read that ordering with care: it describes a portrait-heavy library, not a law of photography. A landscape or architecture corpus would almost certainly invert it, with 24mm and wide-angle at the top.
| If you want | Name this | Share of corpus |
|---|---|---|
| Flattering head-and-shoulders, compressed features, background reduced to colour | 85mm | 4.9% |
| A neutral, unremarkable perspective close to how a room looks to you | 50mm | 2.4% |
| The subject plus enough of where they are to read the place | 35mm | 3.5% |
| Dramatic environmental shots, tall interiors, obvious perspective stretch | 24mm | 0.75% |
| Background compressed hard, subject lifted off it, candid distance | telephoto | 0.43% |
| Deliberate distortion as the subject of the image | fisheye | 0.59% |
Two practical notes. wide-angle (2.4%) is used more than 24mm (0.75%), which is the vaguer of the two — if you know you want the stretch, the number gets you there more reliably. And 85mm on a face at close range is the fastest fix for the "why does this portrait look slightly wrong" problem: wide lenses enlarge whatever is nearest the camera, which is usually the nose.
Indoor Casual Fashion Portrait
Nano Banana ProPrompt▾
A young woman standing in a simple indoor setting with a cream-colored ceramic tile wall behind her. She wears a tight-fitting chocolate brown long-sleeved ribbed Henley top with the top buttons casually left undone, revealing a natural collarbone line. Her posture is relaxed and upright, arms resting naturally at her sides. Medium shot framed from mid-thigh up, eye-level camera angle. Soft diffused indoor lighting from a ceiling source above, casting a gentle downward shadow on the tiled wall behind her. Her expression is calm and composed with direct eye contact toward the camera, radiating a confident natural beauty. High-fidelity photorealism with accurate skin texture, fabric ribbing detail, and natural hair texture. Casual smartphone portrait aesthetic, as if captured spontaneously in everyday life. Natural warm color palette with chocolate brown, cream, and soft skin tones. Sharp focus, accurate texture rendering, 3:4 portrait aspect ratio.
What each aperture actually does
Apertures are the rarest camera terms in the corpus, and the most useful to add.
| Aperture | Share of prompts | What it buys you |
|---|---|---|
| f/1.4 | 0.69% | Extreme separation. One plane of the face is sharp and everything else goes. Use when the background is genuinely ugly. |
| f/1.8 | 2.0% | The default portrait look. Eyes and lips sharp, ears already softening, background dissolved. |
| f/2.8 | 1.3% | Whole face sharp, background still clearly soft. The safest choice for two-person shots and anything with hands. |
| f/4 | 0.45% | Subject fully sharp front to back, background readable but not competing. Products, flat lay, group shots. |
If you take one habit from this article: write the aperture next to the focal length, every time. It costs four characters and it is the difference between describing a look and specifying it.
Orange Sunglasses Selective Color Portrait
Nano Banana ProPrompt▾
A studio-style close-up editorial portrait of a person with strong, well-defined facial features and slightly imperfect, natural skin texture. The subject wears a black tailored turtleneck with sharp, clean lines, layered under a high-collared black jacket in a minimalist contemporary fashion style. The subject wears semi-transparent orange acetate sunglasses — rectangular frames with softly rounded edges, glossy finish, and amber gradient lenses — serving as the only colored element in the image. Color concept: selective color photography — monochrome black-and-white image with only the sunglasses in vivid orange. Mood is calm and confident, serious expression, direct gaze into the camera. Lighting is soft frontal studio light with gentle shadows, even skin tones, cinematic contrast, and visible natural skin texture. Shot on a professional portrait camera, f/2.0, ISO 100, 1/125s. High resolution, ultra-sharp focus on the face. Style: editorial luxury fashion portrait, photorealistic, professional studio photography, no illustration, no painterly effects.
Framing: close-up, medium shot or full body?
close-up is the third most common term in the whole list at 9.3%, ahead of every focal length. full body sits at 3.3% and medium shot at 1.8%.
That gap is a real opportunity. Close-up is so common that it is a weak signal — it is attached to an enormous, stylistically mixed set of images. Medium shot at 1.8% is far more specific about what you get: head to waist, the hands in play, some of the setting visible.
- Close-up — face fills the frame, background is texture only.
- Medium shot — waist-up, hands usable, background readable.
- Full body — the whole figure, which means the shoes, the pose and the floor all become your problem.
The full body framing is where prompts break most often, because it silently adds three elements you did not describe. If you ask for a full body shot, describe the footwear and the surface underfoot, or accept whatever arrives.
Urban Still Shadow Crowd Flow
Nano Banana ProPrompt▾
Ultra-realistic cinematic street portrait of a young woman standing still in a crowded city street, sharp focus on her face with calm, intense expression. Long-exposure effect with people moving around her creating strong directional motion blur, streaked crowd movement while the subject remains perfectly still. Natural soft daylight, shallow depth of field, creamy bokeh, realistic skin texture, subtle freckles, neutral makeup, dark winter coat and scarf. Emotional, introspective mood, urban storytelling photography, DSLR quality, 85mm lens look, f/1.8, high dynamic range, 8K, professional color grading.
Road Wanderer: Languid Girl on the Chopper
Nano Banana ProPrompt▾
A young woman sitting sideways on a chopper motorcycle, left hand resting on the high handlebar, right hand running through wind-tousled hair with subtle rim light on edges. Confident direct gaze, slightly narrowed eyes. Languid, cool, unbothered smirk, lips slightly pressed together. Relaxed body language, legs crossed and extended on the seat. Attire: Oversized gray sleeveless tank top. Denim shorts. Tan/camel mid-calf cowboy boots in Western style. Vehicle: Custom chopper motorcycle with deep metallic red gas tank with gold/orange flame decals. Chrome V-twin engine visible. High ape hanger handlebars. Black leather seat. "Spring Head" text on engine cover. Motorcycle angled slightly toward camera, front wheel extending to right side of frame. Composition: Full body shot. 85mm f/2.8 lens. Low angle, camera near ground level looking slightly up. Layered depth — foreground: motorcycle engine and chrome details; middle ground: subject on seat; background: hazy city skyline. Subject center-left, motorcycle extending right, city skyline across top third. 4:5 aspect ratio. Lighting: Natural outdoor light, late afternoon / pre-golden hour. Right-front soft directional sunlight. Warm but not harsh, subtle rim light on hair edges, metallic reflections on chrome engine parts. Hazy air, slight atmospheric diffusion, soft halation on highlights. Color palette: Fujifilm Classic Negative (CN) film simulation. Warm highlights with cooler teal-leaning shadows, desaturated but rich, nostalgic snapshot feel, subtle grain. Muted warm brown/camel tones from boots and tank top. Deep metallic red with gold accents on motorcycle. Hazy gray-blue sky. Natural warm skin tones. Soft warm halation in highlight roll-off. Cool teal/blue-green shadow tint. Medium-low contrast curve with lifted blacks. Subtle visible film grain. Saturation pulled back 15-20% for muted palette. Atmospheric diffusion in background. Environment: Outdoor open area, roadside or parking lot. Hazy city skyline with high-rise buildings, urban landscape, overcast-hazy sky. Gray concrete / asphalt surface. Atmospheric haze, slight pollution/mist softening the background. American road trip / biker culture vibe. Mood: Languid cool freedom, American biker editorial, vintage chopper culture, effortless confidence, road movie aesthetic. Technical: photorealistic, low angle shot, film grain, atmospheric haze, soft halation, editorial fashion, motorcycle portrait, vintage Americana.
Camera angle: low, eye level or high?
| Angle | Share of prompts | What it does |
|---|---|---|
| low angle | 2.5% | Subject gains height and authority; ceilings and sky enter the frame |
| eye level | 1.4% | Neutral, documentary, the reader is a person standing there |
| high angle | 0.74% | Subject reads smaller, more open; floors and surfaces enter the frame |
Only about one prompt in 135 specifies a high angle, which makes it the most under-used lever in the corpus. It is also the easiest way to make a cluttered background disappear: point down, and the background becomes the floor.
eye level at 1.4% is worth writing even though it sounds like a non-instruction. Left unspecified, models drift toward a slightly low, slightly heroic angle. If you want a picture that looks observed rather than staged, say so.
Wormseye
Nano Banana ProPrompt▾
A dynamic low-angle street fashion photograph captured from a worm's-eye view. The model is striding forward across a crosswalk but turns her head back to look directly down into the camera lens with a confident, engaging expression. She wears a yellow ribbed tank top, distressed denim cutoff shorts, slouchy white socks, and black platform Mary Jane shoes, topped with a black baseball cap. A stack of newspapers in her hand is scattering into the wind, pages frozen in mid-air. The background features a vintage green building and a 'PARKING' sign under a bright blue sky with cirrus clouds. The lighting is sunny and backlit, creating a rim light effect on her silhouette. Extreme low angle, subject dominating the frame, diagonal lines created by long legs, eyes locking contact with the viewer from above. Worm's-eye view, 24mm wide-angle lens. Bright natural sunlight, strong backlighting with slight lens flare. Fujifilm Classic Negative (NC), high contrast, vibrant sky blues and architectural greens. Spontaneous, energetic, high-fashion, confident.
Upward Gaze in Minimalist Space
Nano Banana ProPrompt▾
{
"image_type": "photographic portrait",
"style": "studio portrait, cinematic, minimalist",
"composition": {
"orientation": "portrait",
"framing": "full body from extreme high angle",
"subject_position": "centered",
"camera_angle": "top-down (bird’s-eye / overhead)",
"lens_distortion": "strong wide-angle perspective exaggeration",
"negative_space": "extensive surrounding empty space",
"perspective": "dramatic overhead with subject looking up"
},
"subject": {
"count": 1,
"description": "young person with glasses",
"pose": "standing upright, shoulders slightly forward, arms relaxed",
"expression": "soft, introspective, mildly curious",
"gaze": "looking directly up at the camera",
"accessories": [
"round eyeglasses"
],
"clothing": {
"outerwear": "dark brown jacket",
"innerwear": "light-colored knit or textured shirt",
"style": "casual, understated"
}
},
"facial_details": {
"features": "rounded face, soft jawline",
"emotion": "calm, thoughtful",
"eye_emphasis": "enhanced by glasses and upward gaze"
},
"lighting": {
"type": "studio lighting",
"setup": "top-centered soft light with gradual falloff",
"contrast": "low to moderate",
"shadows": "subtle shadows beneath chin and body",
"vignette": "strong radial vignette darkening toward edges"
},
"color": {
"palette": [
"cool gray",
"charcoal",
"muted brown",
"soft beige"
],
"temperature": "cool-neutral",
"saturation": "low",
"mood": "quiet, contemplative"
},
"background": {
"environment": "studio",
"surface": "smooth seamless floor",
"gradient": "radial gradient from light center to dark edges",
"distractions": "none"
},
"technical_details": {
"camera_type": "digital",
"lens": "ultra-wide or fisheye-style wide-angle",
"depth_of_field": "deep (entire subject in focus)",
"sharpness": "high center sharpness with slight edge softness",
"noise": "minimal",
"post_processing": [
"contrast shaping",
"cool color grading",
"vignette enhancement",
"perspective exaggeration"
]
},
"artistic_elements": {
"concept": "isolation and vulnerability through scale and perspective",
"visual_metaphor": "small subject surrounded by vast empty space",
"aesthetic_influences": [
"editorial portrait photography",
"modern studio minimalism",
"cinematic overhead compositions"
]
},
"typography": {
"presence": false
},
"overall_mood": "intimate, introspective, slightly surreal",
"intended_use": [
"editorial portrait",
"conceptual photography reference",
"AI image generation style guide"
]
}Composition terms: symmetry, negative space, centered
symmetry is the surprise of this list at 5.1% — more common than any single focal length, including 85mm. negative space follows at 2.7%, centered composition at 1.3%.
These three are the terms that change a picture the most per word, because they constrain layout rather than surface. A symmetrical framing forces the model to build the scene around a centre line; negative space forces it to leave part of the frame empty, which is precisely what generative models resist doing on their own.
If you are making wallpapers, app screens or anything with text laid over it later, negative space plus a stated location — "empty upper third" — is the single most useful phrase in this article.
Minimalist Phone Wallpaper with Negative Space Gradient
Nano Banana ProPrompt▾
Make a beautiful 9:16 wallpaper. Leave natural negative space near the top and bottom. Give the wallpaper a subtle top to bottom gradient. No blur effects or cropping. Keep the scene simple. Put your subject and style at the end of the prompt.
Black-and-white silhouette behind frosted glass
Nano Banana ProPrompt▾
Abstract fine art black and white photography of a human silhouette seen through frosted glass, translucent plastic, or diffused acrylic. She is fully obscured, on her knees, with no facial detail, only a soft shadowed outline. Hands are pressed against the surface, fingers slightly spread, creating subtle depth and emotional tension. Extreme soft focus, heavy diffusion, smooth gradients, and gentle falloff of light. High-key monochrome tones, low contrast, minimal texture. Clean minimalist composition with negative space. Ethereal, surreal, haunting mood. Studio lighting with soft backlight behind the subject, cinematic fine-art photography, conceptual and introspective. Sensual pose. Aspect ratio 4:5
A camera block you can paste into any prompt
Keep it to four lines and put it at the end of the prompt, after the subject and the light. Every line below replaces a word from the top of the frequency table with something the model can act on.
Camera: 85mm, f/1.8, eye level, waist-up framing
Focus: sharp on the near eye; ears and shoulders already soft
Distance: subject 1.5m from camera, background 6m behind subject
Composition: subject on the left third, negative space to the right
Three variants that cover most work:
Portrait, maximum separation
Camera: 85mm, f/1.4, eye level, head and shoulders
Focus: near eye only; everything behind the ears dissolved
Composition: centered, tight crop, background reduced to colour
Environmental / storytelling
Camera: 35mm, f/2.8, eye level, medium shot
Focus: subject sharp, background soft but readable as a place
Composition: subject on the left third, room visible to the right
Product / flat lay
Camera: 50mm, f/4, slightly above product height
Focus: entire product sharp front to back
Composition: centered, generous negative space on all four sides
Paste one of these under any prompt you already have. If you would rather have the whole prompt organised this way, the slot templates in our structured prompt template library turn these lines into named fields you cannot forget to fill.
Camera vocabulary is also unevenly distributed across models: 45.5% of Nano Banana prompts in the corpus carry camera specifications, against 28.0% for GPT Image and 9.6% for Midjourney. If you want to see what a heavily specified photographic prompt looks like in practice, the Nano Banana prompt collection is the densest source, and the portrait category is where the focal-length vocabulary concentrates.
FAQ
What camera settings should I put in an AI image prompt?
At minimum a focal length and an aperture — for example 85mm, f/1.8. Add framing (close-up, medium shot, full body) and angle (low, eye level, high). In our corpus 11.1% of prompts ask for shallow depth of field but only 6.2% name any aperture, so adding the aperture alone puts you ahead of most prompts.
Does writing 85mm or f/1.8 actually change the image?
Yes, though not because the model simulates a lens. Those strings appear alongside a consistent set of images in training data, so they select for a look far more reliably than adjectives like "dreamy" or "professional". Specific numbers narrow the target; adjectives widen it.
How do I get a blurred background in AI images?
Name all three causes rather than the effect: a wide aperture (f/1.4–f/2.0), a longer lens (85mm or telephoto), and distance between subject and background. Adding "bokeh" or "shallow depth of field" on its own gives the model no way to know which of the three you meant.
What is the most under-used camera term?
High angle, at 0.74% of prompts — roughly one in 135. It is also the fastest way to clear a messy background, since pointing the camera down replaces the background with the floor. f/4 (0.45%) and telephoto (0.43%) are similarly under-asked.
Where can I see prompts that use these settings?
Every prompt counted here is published with its image and its model in the LocalBanana gallery, and you can run any of them in the generator as-is. The figures are counts over that public corpus as of August 2026.
LocalBanana Team
We run Nano Banana, GPT Image and other models side by side, and publish every prompt in our gallery. These guides are written from that corpus.
Updated @LocalBanana_io
