Perfectly empty pure white room from a wide-angle perspectiv
Perfectly empty pure white room from a wide-angle perspective suggesting infinite space, a single Eames lounge chair and ottoman as the only objects, centered in the composition, three-point studio lighting making the chair hyperreal with every material visible — warm walnut wood shell, black leather cushions, chrome base — simultaneously suggesting aspiration and isolation, pure white walls with pale warm grey shadows, 24mm tilt-shift technical camera
- 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: "Perfectly empty pure white room from a wide-angle perspective suggesting infinite space, a single Eames lounge chair and ottoman as the only objects, centered in the composition, three-point studio lighting making the chair hyperreal with every material visible — warm walnut wood shell, black leather cushions, chrome base — simultaneously suggesting aspiration and isolation, pure white walls with pale warm grey shadows, 24mm tilt-shift technical camera"
1. codex plugin install runapi-mcp@agents
2. Restart Codex
3. Paste this prompt: Generate an image: "Perfectly empty pure white room from a wide-angle perspective suggesting infinite space, a single Eames lounge chair and ottoman as the only objects, centered in the composition, three-point studio lighting making the chair hyperreal with every material visible — warm walnut wood shell, black leather cushions, chrome base — simultaneously suggesting aspiration and isolation, pure white walls with pale warm grey shadows, 24mm tilt-shift technical camera"
1. npx @runapi.ai/mcp init cursor
2. Restart Cursor
3. Paste this prompt: Generate an image: "Perfectly empty pure white room from a wide-angle perspective suggesting infinite space, a single Eames lounge chair and ottoman as the only objects, centered in the composition, three-point studio lighting making the chair hyperreal with every material visible — warm walnut wood shell, black leather cushions, chrome base — simultaneously suggesting aspiration and isolation, pure white walls with pale warm grey shadows, 24mm tilt-shift technical camera"
1. npx @runapi.ai/mcp init windsurf
2. Restart Windsurf
3. Paste this prompt: Generate an image: "Perfectly empty pure white room from a wide-angle perspective suggesting infinite space, a single Eames lounge chair and ottoman as the only objects, centered in the composition, three-point studio lighting making the chair hyperreal with every material visible — warm walnut wood shell, black leather cushions, chrome base — simultaneously suggesting aspiration and isolation, pure white walls with pale warm grey shadows, 24mm tilt-shift technical camera"
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": "Perfectly empty pure white room from a wide-angle perspective suggesting infinite space, a single Eames lounge chair and ottoman as the only objects, centered in the composition, three-point studio lighting making the chair hyperreal with every material visible — warm walnut wood shell, black leather cushions, chrome base — simultaneously suggesting aspiration and isolation, pure white walls with pale warm grey shadows, 24mm tilt-shift technical camera"
}
JSON
import { RunapiClient } from "@runapi.ai/runapi";
const client = new RunapiClient({
apiKey: process.env.RUNAPI_API_KEY,
});
const result = await client.textToImage.run({
"prompt": "Perfectly empty pure white room from a wide-angle perspective suggesting infinite space, a single Eames lounge chair and ottoman as the only objects, centered in the composition, three-point studio lighting making the chair hyperreal with every material visible — warm walnut wood shell, black leather cushions, chrome base — simultaneously suggesting aspiration and isolation, pure white walls with pale warm grey shadows, 24mm tilt-shift technical camera"
});
console.log(result.id);
require "runapi/runapi"
client = RunApi::Runapi::Client.new
result = client.text_to_image.run(
prompt: "Perfectly empty pure white room from a wide-angle perspective suggesting infinite space, a single Eames lounge chair and ottoman as the only objects, centered in the composition, three-point studio lighting making the chair hyperreal with every material visible — warm walnut wood shell, black leather cushions, chrome base — simultaneously suggesting aspiration and isolation, pure white walls with pale warm grey shadows, 24mm tilt-shift technical camera"
)
puts result.id
package main
import (
"context"
"fmt"
"log"
"net/http"
"os"
"strings"
)
func main() {
body := strings.NewReader("{\"prompt\":\"Perfectly empty pure white room from a wide-angle perspective suggesting infinite space, a single Eames lounge chair and ottoman as the only objects, centered in the composition, three-point studio lighting making the chair hyperreal with every material visible — warm walnut wood shell, black leather cushions, chrome base — simultaneously suggesting aspiration and isolation, pure white walls with pale warm grey shadows, 24mm tilt-shift technical camera\"}")
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)
}
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.