A surreal, hyper-realistic close-up scene of a miniature [CAR] driving along a winding road that seamlessly transforms into a printed paper map of [CITY], [COUNTRY]. The road transitions naturally into the map’s printed streets, borders, and typography, with the vehicle driving directly over the map label “[CITY]”. The surrounding terrain reflects the natural landscape of [COUNTRY] — terrain texture, ground color, and environmental details match the region authentically (e.g. desert, mountains, coast, countryside). The map features crisp cartographic details, labeled roads, subtle borders, and realistic paper texture. The vehicle is highly detailed and proportionally scaled, feeling tangible and grounded within the scene. Lighting is bright and natural, directionally cast to create realistic highlights and defined shadows along the road’s curves. Shot from a slightly elevated angle with shallow depth of field, keeping the car and map sharply in focus while the background softly fades. Visual style is cinematic and ultra-realistic, blending tactile paper map textures with realistic terrain and vehicle materials. Aspect ratio 1:1, high resolution, premium editorial quality, no text overlays, no watermark
gpt-image-2/api/v1/gpt_image_2/text_to_image
RUN DETAILS
Model
gpt-image-2
Provider
OpenAI
Service
Gpt Image 2
Endpoint
Text To Image
1. claude mcp add runapi -s user -- npx -y @runapi.ai/mcp
2. Restart Claude Code
3. Paste this prompt: Generate an image: "A surreal, hyper-realistic close-up scene of a miniature [CAR] driving along a winding road that seamlessly transforms into a printed paper map of [CITY], [COUNTRY]. The road transitions naturally into the map’s printed streets, borders, and typography, with the vehicle driving directly over the map label “[CITY]”. The surrounding terrain reflects the natural landscape of [COUNTRY] — terrain texture, ground color, and environmental details match the region authentically (e.g. desert, mountains, coast, countryside). The map features crisp cartographic details, labeled roads, subtle borders, and realistic paper texture. The vehicle is highly detailed and proportionally scaled, feeling tangible and grounded within the scene. Lighting is bright and natural, directionally cast to create realistic highlights and defined shadows along the road’s curves. Shot from a slightly elevated angle with shallow depth of field, keeping the car and map sharply in focus while the background softly fades. Visual style is cinematic and ultra-realistic, blending tactile paper map textures with realistic terrain and vehicle materials. Aspect ratio 1:1, high resolution, premium editorial quality, no text overlays, no watermark"
1. codex plugin install runapi-mcp@agents
2. Restart Codex
3. Paste this prompt: Generate an image: "A surreal, hyper-realistic close-up scene of a miniature [CAR] driving along a winding road that seamlessly transforms into a printed paper map of [CITY], [COUNTRY]. The road transitions naturally into the map’s printed streets, borders, and typography, with the vehicle driving directly over the map label “[CITY]”. The surrounding terrain reflects the natural landscape of [COUNTRY] — terrain texture, ground color, and environmental details match the region authentically (e.g. desert, mountains, coast, countryside). The map features crisp cartographic details, labeled roads, subtle borders, and realistic paper texture. The vehicle is highly detailed and proportionally scaled, feeling tangible and grounded within the scene. Lighting is bright and natural, directionally cast to create realistic highlights and defined shadows along the road’s curves. Shot from a slightly elevated angle with shallow depth of field, keeping the car and map sharply in focus while the background softly fades. Visual style is cinematic and ultra-realistic, blending tactile paper map textures with realistic terrain and vehicle materials. Aspect ratio 1:1, high resolution, premium editorial quality, no text overlays, no watermark"
1. npx @runapi.ai/mcp init cursor
2. Restart Cursor
3. Paste this prompt: Generate an image: "A surreal, hyper-realistic close-up scene of a miniature [CAR] driving along a winding road that seamlessly transforms into a printed paper map of [CITY], [COUNTRY]. The road transitions naturally into the map’s printed streets, borders, and typography, with the vehicle driving directly over the map label “[CITY]”. The surrounding terrain reflects the natural landscape of [COUNTRY] — terrain texture, ground color, and environmental details match the region authentically (e.g. desert, mountains, coast, countryside). The map features crisp cartographic details, labeled roads, subtle borders, and realistic paper texture. The vehicle is highly detailed and proportionally scaled, feeling tangible and grounded within the scene. Lighting is bright and natural, directionally cast to create realistic highlights and defined shadows along the road’s curves. Shot from a slightly elevated angle with shallow depth of field, keeping the car and map sharply in focus while the background softly fades. Visual style is cinematic and ultra-realistic, blending tactile paper map textures with realistic terrain and vehicle materials. Aspect ratio 1:1, high resolution, premium editorial quality, no text overlays, no watermark"
1. npx @runapi.ai/mcp init windsurf
2. Restart Windsurf
3. Paste this prompt: Generate an image: "A surreal, hyper-realistic close-up scene of a miniature [CAR] driving along a winding road that seamlessly transforms into a printed paper map of [CITY], [COUNTRY]. The road transitions naturally into the map’s printed streets, borders, and typography, with the vehicle driving directly over the map label “[CITY]”. The surrounding terrain reflects the natural landscape of [COUNTRY] — terrain texture, ground color, and environmental details match the region authentically (e.g. desert, mountains, coast, countryside). The map features crisp cartographic details, labeled roads, subtle borders, and realistic paper texture. The vehicle is highly detailed and proportionally scaled, feeling tangible and grounded within the scene. Lighting is bright and natural, directionally cast to create realistic highlights and defined shadows along the road’s curves. Shot from a slightly elevated angle with shallow depth of field, keeping the car and map sharply in focus while the background softly fades. Visual style is cinematic and ultra-realistic, blending tactile paper map textures with realistic terrain and vehicle materials. Aspect ratio 1:1, high resolution, premium editorial quality, no text overlays, no watermark"
curl -X POST https://runapi.ai/api/v1/gpt_image_2/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "gpt-image-2",
"prompt": "A surreal, hyper-realistic close-up scene of a miniature [CAR] driving along a winding road that seamlessly transforms into a printed paper map of [CITY], [COUNTRY]. The road transitions naturally into the map’s printed streets, borders, and typography, with the vehicle driving directly over the map label “[CITY]”. The surrounding terrain reflects the natural landscape of [COUNTRY] — terrain texture, ground color, and environmental details match the region authentically (e.g. desert, mountains, coast, countryside). The map features crisp cartographic details, labeled roads, subtle borders, and realistic paper texture. The vehicle is highly detailed and proportionally scaled, feeling tangible and grounded within the scene. Lighting is bright and natural, directionally cast to create realistic highlights and defined shadows along the road’s curves. Shot from a slightly elevated angle with shallow depth of field, keeping the car and map sharply in focus while the background softly fades. Visual style is cinematic and ultra-realistic, blending tactile paper map textures with realistic terrain and vehicle materials. Aspect ratio 1:1, high resolution, premium editorial quality, no text overlays, no watermark"
}
JSON
import { GptImage2Client } from "@runapi.ai/gpt-image-2";
const client = new GptImage2Client({
apiKey: process.env.RUNAPI_API_KEY,
});
const result = await client.textToImage.run({
"model": "gpt-image-2",
"prompt": "A surreal, hyper-realistic close-up scene of a miniature [CAR] driving along a winding road that seamlessly transforms into a printed paper map of [CITY], [COUNTRY]. The road transitions naturally into the map’s printed streets, borders, and typography, with the vehicle driving directly over the map label “[CITY]”. The surrounding terrain reflects the natural landscape of [COUNTRY] — terrain texture, ground color, and environmental details match the region authentically (e.g. desert, mountains, coast, countryside). The map features crisp cartographic details, labeled roads, subtle borders, and realistic paper texture. The vehicle is highly detailed and proportionally scaled, feeling tangible and grounded within the scene. Lighting is bright and natural, directionally cast to create realistic highlights and defined shadows along the road’s curves. Shot from a slightly elevated angle with shallow depth of field, keeping the car and map sharply in focus while the background softly fades. Visual style is cinematic and ultra-realistic, blending tactile paper map textures with realistic terrain and vehicle materials. Aspect ratio 1:1, high resolution, premium editorial quality, no text overlays, no watermark"
});
console.log(result.id);
require "runapi/gpt_image_2"
client = RunApi::GptImage2::Client.new
result = client.text_to_image.run(
model: "gpt-image-2",
prompt: "A surreal, hyper-realistic close-up scene of a miniature [CAR] driving along a winding road that seamlessly transforms into a printed paper map of [CITY], [COUNTRY]. The road transitions naturally into the map’s printed streets, borders, and typography, with the vehicle driving directly over the map label “[CITY]”. The surrounding terrain reflects the natural landscape of [COUNTRY] — terrain texture, ground color, and environmental details match the region authentically (e.g. desert, mountains, coast, countryside). The map features crisp cartographic details, labeled roads, subtle borders, and realistic paper texture. The vehicle is highly detailed and proportionally scaled, feeling tangible and grounded within the scene. Lighting is bright and natural, directionally cast to create realistic highlights and defined shadows along the road’s curves. Shot from a slightly elevated angle with shallow depth of field, keeping the car and map sharply in focus while the background softly fades. Visual style is cinematic and ultra-realistic, blending tactile paper map textures with realistic terrain and vehicle materials. Aspect ratio 1:1, high resolution, premium editorial quality, no text overlays, no watermark"
)
puts result.id
package main
import (
"context"
"fmt"
"log"
"net/http"
"os"
"strings"
)
func main() {
body := strings.NewReader("{\"model\":\"gpt-image-2\",\"prompt\":\"A surreal, hyper-realistic close-up scene of a miniature [CAR] driving along a winding road that seamlessly transforms into a printed paper map of [CITY], [COUNTRY]. The road transitions naturally into the map’s printed streets, borders, and typography, with the vehicle driving directly over the map label “[CITY]”. The surrounding terrain reflects the natural landscape of [COUNTRY] — terrain texture, ground color, and environmental details match the region authentically (e.g. desert, mountains, coast, countryside). The map features crisp cartographic details, labeled roads, subtle borders, and realistic paper texture. The vehicle is highly detailed and proportionally scaled, feeling tangible and grounded within the scene. Lighting is bright and natural, directionally cast to create realistic highlights and defined shadows along the road’s curves. Shot from a slightly elevated angle with shallow depth of field, keeping the car and map sharply in focus while the background softly fades. Visual style is cinematic and ultra-realistic, blending tactile paper map textures with realistic terrain and vehicle materials. Aspect ratio 1:1, high resolution, premium editorial quality, no text overlays, no watermark\"}")
req, err := http.NewRequestWithContext(context.Background(), http.MethodPost, "https://runapi.ai/api/v1/gpt_image_2/text_to_image", body)
if err != nil {
log.Fatal(err)
}
req.Header.Set("Authorization", "Bearer "+os.Getenv("RUNAPI_API_KEY"))
req.Header.Set("Content-Type", "application/json")
resp, err := http.DefaultClient.Do(req)
if err != nil {
log.Fatal(err)
}
defer resp.Body.Close()
fmt.Println(resp.Status)
}
gpt-image-2/api/v1/gpt_image_2/text_to_imageGet API Key
Low-angle fashion campaign photograph of a confident model holding a large [product name] very close to the camera, exaggerated perspective with the hand and product dominating the foreground, full-body pose visible in the background, wide stance, dynamic posture, clean pure white studio background, high-key lighting, sharp focus on product, slight depth of field on the model, bold colorful outfit with strong contrast tones, modern beauty advertising aesthetic, ultra-clean composition, commercial studio photography, glossy packaging detail visible, crisp shadows
curl -X POST https://runapi.ai/api/v1/gpt_image_2/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "gpt-image-2",
"prompt": "Low-angle fashion campaign photograph of a confident model holding a large [product name] very close to the camera, exaggerated perspective with the hand and product dominating the foreground, full-body pose visible in the background, wide stance, dynamic posture, clean pure white studio background, high-key lighting, sharp focus on product, slight depth of field on the model, bold colorful outfit with strong contrast tones, modern beauty advertising aesthetic, ultra-clean composition, commercial studio photography, glossy packaging detail visible, crisp shadows"
}
JSON
Create an infographic image of [LANDMARK], combining a real photograph of the landmark with blueprint-style technical annotations and diagrams overlaid on the image. Include the title “[LANDMARK]” in a hand-drawn box in the corner. Add white chalk-style sketches showing key structural data, important measurements, material quantities, internal diagrams, load-flow arrows, cross-sections, floor plans, and notable architectural or engineering features. Style: blueprint aesthetic with white line drawings on the photograph, technical/architectural annotation style, educational infographic feel, with the real environment visible behind the annotations.
curl -X POST https://runapi.ai/api/v1/gpt_image_2/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "gpt-image-2",
"prompt": "Create an infographic image of [LANDMARK], combining a real photograph of the landmark with blueprint-style technical annotations and diagrams overlaid on the image. Include the title “[LANDMARK]” in a hand-drawn box in the corner. Add white chalk-style sketches showing key structural data, important measurements, material quantities, internal diagrams, load-flow arrows, cross-sections, floor plans, and notable architectural or engineering features. Style: blueprint aesthetic with white line drawings on the photograph, technical/architectural annotation style, educational infographic feel, with the real environment visible behind the annotations."
}
JSON
curl -X POST https://runapi.ai/api/v1/gpt_image_2/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "gpt-image-2",
"prompt": "{ \"global_settings\": { \"resolution\": \"8K ultra high definition\", \"aspect_ratio\": \"3:4\", \"camera_style\": \"studio food photography with cinematic lighting\", \"depth_of_field\": \"shallow depth of field, sharp subject, soft background\", \"lighting\": \"soft directional key light, subtle rim light, controlled highlights\", \"style\": \"hyper-realistic food illustration with editorial infographic overlays\", \"composition_rules\": [ \"no zoom\", \"no crop\", \"center-weighted vertical composition\", \"floating elements frozen in motion\" ], \"text_design\": { \"ingredient_name_color\": \"metallic gold\", \"ingredient_description_color\": \"pure white\", \"font_style\": \"elegant serif for titles, clean sans-serif for descriptions\", \"indicator_lines\": \"long, thin, smooth golden lines with rounded corners\" } }, \"module_1_image_1_style\": { \"scene_description\": \"A vertical stack of assorted cake slices floating above a white ceramic plate against a soft pink gradient background.\", \"background\": { \"color\": \"soft pastel pink\", \"texture\": \"smooth gradient\", \"lighting\": \"even, studio-lit, no harsh shadows\" }, \"main_subjects\": [ \"multiple layered sponge cake slices\", \"white whipped cream layers\", \"raspberry cream layer\", \"chocolate cream topping\" ], \"visible_ingredients\": [ \"vanilla sponge cake\", \"whipped cream\", \"raspberries\", \"blueberries\", \"strawberries\", \"macarons (vanilla and chocolate)\", \"chocolate bar pieces\", \"mint leaves\", \"small nut fragments\" ], \"motion_elements\": [ \"floating fruits\", \"floating macarons\", \"crumbs suspended in air\" ], \"text_labels\": [ \"Vanilla Cake – soft, fluffy sponge cake layered with white cream filling\", \"Macaron – creamy filling between almond meringue shells\", \"Raspberries – juicy, fresh raspberries\", \"Chocolate Bar – chunks of smooth milk chocolate\", \"Raspberry Cream – soft sponge cake layered with creamy, fruity raspberry cream\" ] }, \"module_2_image_2_style\": { \"scene_description\": \"Rolled Syrian dessert presented vertically with syrup pouring from above, placed in a warm, rustic kitchen environment.\", \"background\": { \"environment\": \"traditional kitchen\", \"elements\": [ \"warm lantern light\", \"wooden surfaces\", \"brass and copper utensils\" ], \"lighting\": \"warm ambient lighting with soft highlights\" }, \"main_subjects\": [ \"rolled white dessert dough\", \"cream filling spilling out\", \"golden syrup stream\" ], \"visible_ingredients\": [ \"white cheese dough\", \"cream filling\", \"pistachios\", \"sugar syrup\" ], \"motion_elements\": [ \"syrup dripping vertically\", \"pistachio crumbs falling\" ], \"text_labels\": [ \"White Cheese Dough – soft outer layer made from cheese and semolina\", \"Cream Filling – creamy filling inside the roll\", \"Pistachios – crushed pistachios sprinkled over and inside the rolls\" ] }"
}
JSON
FAQ
Using this gpt-image-2 prompt
How do I copy this prompt safely?
Use the copy button beside the full prompt block. It copies only the prompt text, not surrounding page labels, so you can paste it into an agent instruction, a JSON request body, or your own prompt library.
Why does the detail page show parameters?
Some prompts were collected with saved generation settings such as aspect ratio, duration, or voice controls. When parameters exist, the page lists them separately so you can reuse the prompt text and the structured settings together.
Which endpoint should I call?
Use the endpoint path shown in the API code block. The path is generated from the prompt's RunAPI service and endpoint name, then rendered as the public API URL used by curl and SDK examples.
Can I use this prompt in an agent instead of code?
Yes. Pick Claude Code, Codex, Cursor, or Windsurf in the tab switcher, install the RunAPI MCP Server, and paste the generated instruction. The instruction includes the full prompt text.