Leather-wrapped hardcover journal open on a concrete café table beside a black espresso cup, morning window light streaming from behind, a hand with a simple gold ring entering the frame from the left holding a pen above the blank page, shallow depth of field, warm concrete, black espresso, tan leather, and pale morning light color palette, aspirational lifestyle product photography
/api/v1/runapi/text_to_image
RUN DETAILS
Model
Provider
Runapi
Service
Runapi
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: "Leather-wrapped hardcover journal open on a concrete café table beside a black espresso cup, morning window light streaming from behind, a hand with a simple gold ring entering the frame from the left holding a pen above the blank page, shallow depth of field, warm concrete, black espresso, tan leather, and pale morning light color palette, aspirational lifestyle product photography"
1. codex plugin install runapi-mcp@agents
2. Restart Codex
3. Paste this prompt: Generate an image: "Leather-wrapped hardcover journal open on a concrete café table beside a black espresso cup, morning window light streaming from behind, a hand with a simple gold ring entering the frame from the left holding a pen above the blank page, shallow depth of field, warm concrete, black espresso, tan leather, and pale morning light color palette, aspirational lifestyle product photography"
1. npx @runapi.ai/mcp init cursor
2. Restart Cursor
3. Paste this prompt: Generate an image: "Leather-wrapped hardcover journal open on a concrete café table beside a black espresso cup, morning window light streaming from behind, a hand with a simple gold ring entering the frame from the left holding a pen above the blank page, shallow depth of field, warm concrete, black espresso, tan leather, and pale morning light color palette, aspirational lifestyle product photography"
1. npx @runapi.ai/mcp init windsurf
2. Restart Windsurf
3. Paste this prompt: Generate an image: "Leather-wrapped hardcover journal open on a concrete café table beside a black espresso cup, morning window light streaming from behind, a hand with a simple gold ring entering the frame from the left holding a pen above the blank page, shallow depth of field, warm concrete, black espresso, tan leather, and pale morning light color palette, aspirational lifestyle product photography"
curl -X POST https://runapi.ai/api/v1/runapi/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"prompt": "Leather-wrapped hardcover journal open on a concrete café table beside a black espresso cup, morning window light streaming from behind, a hand with a simple gold ring entering the frame from the left holding a pen above the blank page, shallow depth of field, warm concrete, black espresso, tan leather, and pale morning light color palette, aspirational lifestyle product photography"
}
JSON
import { RunapiClient } from "@runapi.ai/runapi";
const client = new RunapiClient({
apiKey: process.env.RUNAPI_API_KEY,
});
const result = await client.textToImage.run({
"prompt": "Leather-wrapped hardcover journal open on a concrete café table beside a black espresso cup, morning window light streaming from behind, a hand with a simple gold ring entering the frame from the left holding a pen above the blank page, shallow depth of field, warm concrete, black espresso, tan leather, and pale morning light color palette, aspirational lifestyle product photography"
});
console.log(result.id);
require "runapi/runapi"
client = RunApi::Runapi::Client.new
result = client.text_to_image.run(
prompt: "Leather-wrapped hardcover journal open on a concrete café table beside a black espresso cup, morning window light streaming from behind, a hand with a simple gold ring entering the frame from the left holding a pen above the blank page, shallow depth of field, warm concrete, black espresso, tan leather, and pale morning light color palette, aspirational lifestyle product photography"
)
puts result.id
package main
import (
"context"
"fmt"
"log"
"net/http"
"os"
"strings"
)
func main() {
body := strings.NewReader("{\"prompt\":\"Leather-wrapped hardcover journal open on a concrete café table beside a black espresso cup, morning window light streaming from behind, a hand with a simple gold ring entering the frame from the left holding a pen above the blank page, shallow depth of field, warm concrete, black espresso, tan leather, and pale morning light color palette, aspirational lifestyle product photography\"}")
req, err := http.NewRequestWithContext(context.Background(), http.MethodPost, "https://runapi.ai/api/v1/runapi/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)
}
Premium wireless headphones in matte black, floating against pure white background, soft shadows, studio rim lighting, reflective surfaces catching light, minimal elegant composition, product advertising photography style, ultra high resolution
Minimalist skincare serum in a frosted glass bottle with matte black pump dispenser, centered on polished white Carrara marble surface, single large octabox light from camera left, scattered rose petals and raw quartz crystal as minimal props, white, blush pink, and black color palette, commercial beauty photography standard, shot with 100mm macro lens
curl -X POST https://runapi.ai/api/v1/runapi/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"prompt": "Minimalist skincare serum in a frosted glass bottle with matte black pump dispenser, centered on polished white Carrara marble surface, single large octabox light from camera left, scattered rose petals and raw quartz crystal as minimal props, white, blush pink, and black color palette, commercial beauty photography standard, shot with 100mm macro lens"
}
JSON
Macro shot of a thin gold ring with princess-cut diamond resting on the edge of a white ceramic dish, extreme close-up filling the entire frame, single fiber optic side light creating spectral diamond refractions and rainbow prismatic effects, f/8 aperture for stone clarity with soft background bokeh, gold, white, and specular highlight color palette, luxury jewelry campaign standard
curl -X POST https://runapi.ai/api/v1/runapi/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"prompt": "Macro shot of a thin gold ring with princess-cut diamond resting on the edge of a white ceramic dish, extreme close-up filling the entire frame, single fiber optic side light creating spectral diamond refractions and rainbow prismatic effects, f/8 aperture for stone clarity with soft background bokeh, gold, white, and specular highlight color palette, luxury jewelry campaign standard"
}
JSON
Dark glass craft beer bottle with condensation droplets, placed on a weathered oak bar surface, blurred warm bar interior visible behind, dramatic rim light from behind making condensation glow, overturned bottle cap resting beside it, amber, dark oak, and brass tones, craft brewery advertising aesthetic
A premium product ad for a matte black wireless speaker sitting on a concrete plinth with headline 'SOUND YOU CAN FEEL' in bold white sans-serif type on the left side. Product positioned on the right. Dramatic rim lighting from behind. Clean sharp shadow. Luxury tech campaign style. Sharp product edges visible. No fake brand logo, no watermark. 16:9 aspect ratio.
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 premium product ad for a matte black wireless speaker sitting on a concrete plinth with headline 'SOUND YOU CAN FEEL' in bold white sans-serif type on the left side. Product positioned on the right. Dramatic rim lighting from behind. Clean sharp shadow. Luxury tech campaign style. Sharp product edges visible. No fake brand logo, no watermark. 16:9 aspect ratio."
}
JSON
Vibrant product-on-moss hero shot for an eco sneaker brand. A single running shoe placed on a bed of fresh green moss, soft morning light filtering through trees above, minimal composition, forest green and cream color palette, natural outdoor product photography, 4:5 aspect ratio, no text.
curl -X POST https://runapi.ai/api/v1/imagen_4/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "imagen-4",
"prompt": "Vibrant product-on-moss hero shot for an eco sneaker brand. A single running shoe placed on a bed of fresh green moss, soft morning light filtering through trees above, minimal composition, forest green and cream color palette, natural outdoor product photography, 4:5 aspect ratio, no text."
}
JSON
FAQ
Using this 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.