GPT Image 2 (model id gpt-image-2) is OpenAI's recommended default image model in 2026, labelled "state-of-the-art" in the official model docs. The interesting part for anyone making images is not the model name. It is that the gap between a mediocre result and a great one is almost entirely in the prompt.
This post does two things. First, the facts: what GPT Image 2 actually is and what it costs, from primary OpenAI sources. Then the useful part: a prompting method drawn from OpenAI's own cookbook and respected practitioner guides, followed by 10 style directions, each with the full high-end prompt I used and a short breakdown of why it works. Every image below was generated with gpt-image-2 itself.
What GPT Image 2 is#
GPT Image 2 replaces the fixed-size legacy models (gpt-image-1 and gpt-image-1.5, which only output 1024x1024, 1024x1536, or 1536x1024) with flexible resolutions and three quality settings. Per OpenAI's image generation prompting guide, the model accepts any size where the longest edge is under 3840px, both edges are a multiple of 16, the long-to-short edge ratio is at most 3:1, and the total pixel count sits between 655,360 and 8,294,400, at low, medium, or high quality. The same guide calls it "the strongest overall model" and the "recommended default for new builds."
What it costs#
Pricing is token-based, not per-image, on the Standard tier (OpenAI API pricing, developer pricing docs):
| Token type | Standard | Cached |
|---|---|---|
| Text input | $5.00 / 1M | $1.25 / 1M |
| Image input | $8.00 / 1M | $2.00 / 1M |
| Image output | $30.00 / 1M | n/a |
A Batch tier runs 50% lower. In practice a single 1024x1024 image lands roughly between $0.006 (low quality) and about $0.21 (high quality); every image in this post is high quality, so budget accordingly when you scale up.
How to prompt GPT Image 2: the method#
The single most useful idea, straight from practitioner guide fal.ai: "Excitement does not render." Words like stunning, epic, masterpiece, insane detail do nothing. Concrete visual specifics do everything. Replace praise with lighting (overcast daylight, soft bounce light), materials (brushed aluminium, chipped paint, worn canvas), and lens characteristics (an 85mm feel). The model renders what you can describe, not what you admire.
Six rules carry most of the weight:
- Order matters. OpenAI recommends a consistent sequence: background/scene, then subject, then key details, then constraints (cookbook). Every prompt below follows it.
- Use a template. fal.ai's five-slot structure is a reliable scaffold: Scene, Subject, Important details, Use case, Constraints.
- Constraints are where weak prompts fail silently. An unbounded idea lets the model get inventive in directions you did not want. State exclusions and invariants explicitly:
no watermark,no extra text,no logos, or for editspreserve the layout. - For accurate text, be literal. Put the exact words in quotes or ALL CAPS and specify typography (font style, size, color, placement). Use medium or high quality for small or dense text, and spell tricky words letter by letter (cookbook). Style 10 below is a live demo.
- For edits, isolate the change. Use "change only X" plus "keep everything else the same," and repeat the preserve list on each iteration to reduce drift.
- Pick a format and keep it skimmable. Minimal prompts, descriptive paragraphs, JSON-like structures, instruction-style, and tag-based prompts all work; the cookbook's advice is that the format stay maintainable. The examples here use descriptive paragraphs.
10 styles, 10 pro prompts#
Each image is gpt-image-2 at high quality. The prompt is shown in full so you can copy, adapt, and see the method in action.
1. Photorealistic portrait#
Soft north-facing window light filling a quiet studio with pale grey walls. A 60-year-old fisherman with weathered, deeply lined skin and a short white beard, looking just off camera, wearing a worn navy wool sweater. Fine skin texture with visible pores, catchlights in the eyes, individual beard hairs, shallow depth of field. Full-frame camera with an 85mm lens at f/1.8, soft background falloff, neutral natural color grade. Photorealistic. No text, no watermark.
Why it works: scene (window light, grey studio) first, then the subject, then the detail modifiers, then constraints. The lens line does the heavy lifting: "85mm at f/1.8" buys flattering compression and a soft background for free, and "visible pores, catchlights, individual beard hairs" forces real texture instead of plastic skin.
2. Cinematic film still#
A rain-soaked neon alley in a dense night city, shallow puddles reflecting magenta and cyan signage. A lone figure in a long charcoal coat walking away from camera, backlit by a distant streetlight, atmospheric haze drifting through the frame. Anamorphic widescreen framing, teal and orange grade, volumetric light shafts, 40mm lens feel, subtle film grain. Cinematic film still, moody and quiet. No text, no watermark.
Why it works: the mood comes from named film-grammar terms, not adjectives. "Anamorphic widescreen," "teal and orange grade," "volumetric light," and "film grain" are concrete instructions a colorist would recognize. Backlighting plus haze creates depth the model can actually place.
3. Studio product shot#
A clean seamless light-grey studio backdrop with a soft gradient. A matte-black wireless over-ear headphone floating at a slight three-quarter angle, brushed aluminium hinges and soft rubber earcups. Crisp softbox key light from upper left, a subtle cool rim light, gentle contact shadow beneath. 100mm macro feel, tack-sharp focus, e-commerce hero composition with generous negative space. Photoreal product render. No text, no watermark.
Why it works: product photography is a lighting problem. Naming the key light direction, a rim light, and a contact shadow gives the model a real lighting setup. "Generous negative space" leaves room for a headline later, which is how hero images are actually used.
4. Stylized 3D render#
A plain pastel-mint background. A cozy miniature isometric coffee-shop diorama with rounded friendly shapes, a tiny barista character, warm interior glow spilling from the windows, tiny plants and stacked cups. Soft global illumination, subsurface-scattering materials, gentle ambient occlusion, octane-style 3D render, shallow depth of field. Charming and clean. No text, no watermark.
Why it works: render-engine vocabulary ("global illumination," "subsurface scattering," "ambient occlusion," "octane-style") tells the model the entire look in four words. "Isometric" and "miniature diorama" lock the camera and scale so it does not drift to a flat illustration.
5. Anime / cel illustration#
Late-afternoon golden sunlight across a grassy clifftop overlooking the sea. A teenage girl in a school uniform holding her sun hat against the wind, hair and skirt billowing, expressive large eyes. Crisp cel shading, bold clean linework, painterly cumulus cloud background, vibrant saturated palette, modern anime film aesthetic. 2D illustration. No text, no watermark.
Why it works: "cel shading" and "bold clean linework" pin the rendering technique, while the wind doing work (hat held down, hair and skirt billowing) adds the motion and emotion that make anime frames feel alive. The "2D illustration" constraint keeps it from sliding toward 3D.
6. Flat editorial illustration#
A warm cream background. A flat-design editorial illustration about remote work: a person at a tidy desk with a laptop, a small plant and a coffee cup, built from simple geometric shapes and a limited four-color palette of terracotta, teal, mustard and off-white. Subtle paper grain, no gradients, clean negative space, modern magazine illustration style. Vector flat illustration. No text, no watermark.
Why it works: naming an exact palette (four colors) and forbidding gradients is what separates clean flat design from muddy AI illustration. "Simple geometric shapes" plus "no gradients" is a hard constraint the model respects, and "subtle paper grain" adds the editorial texture.
7. Architecture / interior#
A sunlit Scandinavian living room mid-morning, large windows with sheer curtains diffusing soft daylight. Light oak floors, a pale linen sofa, a single arched brass floor lamp, one large muted abstract canvas, a monstera plant. Calm minimalist composition, realistic soft shadows, warm neutral palette, wide architectural framing with a 24mm lens. Photoreal interior. No text, no watermark.
Why it works: interiors live or die on light quality and a short, specific object list. "Sheer curtains diffusing soft daylight" sets the entire mood; naming five objects (and no more) keeps the room uncluttered. The 24mm lens gives the wide, honest framing real estate photos use.
8. Food macro#
An overhead macro of a fresh stack of fluffy pancakes on a rustic ceramic plate, glossy maple syrup running down the sides, a melting pat of butter on top, a few scattered blueberries. Soft diffused daylight from the left, dewy condensation, rich shallow depth of field, appetizing warm tones. 100mm macro, food-photography styling on a weathered wood table. Photoreal. No text, no watermark.
Why it works: appetite is detail. "Glossy syrup running down the sides," "melting pat of butter," and "dewy condensation" are the specific cues that read as fresh and edible. Soft directional daylight plus a 100mm macro is the standard food-photography recipe, stated plainly.
9. Surreal concept art#
A vast desert at dusk where enormous translucent jellyfish drift through the sky like silent airships, trailing soft blue bioluminescent light. A tiny lone traveler with a lantern stands on a dune looking up, conveying awe and scale. Painterly concept-art rendering, dramatic dusk gradient, deep atmospheric perspective, cinematic color. Digital matte painting. No text, no watermark.
Why it works: scale needs an anchor. The "tiny lone traveler" against "enormous jellyfish" is what makes the surreal idea legible, and "deep atmospheric perspective" tells the model to fade distant elements so the depth reads. The simile ("like silent airships") guides the shape without over-specifying it.
10. Typographic poster (accurate-text demo)#
A bold retro-modern travel poster with a stylized mountain range at sunrise in layered warm gradients. Centered headline text in large condensed sans-serif reading "GPT IMAGE 2", and a smaller line beneath reading "PROMPT LIKE A PRO". Clean vintage screen-print aesthetic, limited palette of burnt orange, cream and deep teal, balanced symmetrical composition, crisp legible typography. Poster illustration with accurate text. No watermark.
Why it works: this is rule 4 in action. The literal strings are in quotes and ALL CAPS, the typography is specified ("large condensed sans-serif," "centered," "smaller line beneath"), and the quality is high, which is what OpenAI recommends for legible text. Text rendering used to be the thing AI image models failed hardest at; quoting it explicitly is how you get it right.
What this post does not cover: exact release dates, the current ChatGPT Plus or Free image limits, multilingual text accuracy, and head-to-head benchmark scores against Midjourney, Imagen, Flux, or Ideogram. Those claims circulate widely but could not be confirmed from reliable primary sources at the time of writing, so they are deliberately left out. Pricing and model specifications were verified against OpenAI's own pages in May 2026 and can change; check the linked sources before you build on them.
For more on OpenAI's image lineage, see our DALL-E guide. To compare GPT Image 2's main rivals, read the Ideogram guide, the Midjourney guide, and our roundup of AI image generators ranked.
Sources#
- GPT Image 2 model docs and image generation prompting guide, OpenAI (verified May 2026)
- OpenAI API pricing and developer pricing docs
- Prompting GPT Image 2, fal.ai
