MODEL PROMPTS

flux-2-pro-text-to-image Prompts — 8 curated examples

Examples for using flux-2-pro-text-to-image through RunAPI from agent tools or API calls. Copy a prompt, then use it in Claude Code, Codex, Cursor, Windsurf, or your backend.

MODELS

flux-2-pro-text-to-image

Modality
Image
Provider
Black Forest Labs
Endpoint
Text To Image
View model details and pricing →
1. claude mcp add runapi -s user -- npx -y @runapi.ai/mcp
2. Restart Claude Code
3. Paste this prompt: Generate an image: "Photorealistic interior photograph of a Scandinavian living room with double-height ceilings and floor-to-ceiling windows overlooking a pine forest. Light oak flooring, a cream boucle sofa with linen cushions, a round walnut coffee table, and a single dried eucalyptus stem in a ceramic vase. Late afternoon golden hour light casting long soft shadows across the floor. Like an architectural magazine editorial."
1. codex plugin install runapi-mcp@agents
2. Restart Codex
3. Paste this prompt: Generate an image: "Photorealistic interior photograph of a Scandinavian living room with double-height ceilings and floor-to-ceiling windows overlooking a pine forest. Light oak flooring, a cream boucle sofa with linen cushions, a round walnut coffee table, and a single dried eucalyptus stem in a ceramic vase. Late afternoon golden hour light casting long soft shadows across the floor. Like an architectural magazine editorial."
1. npx @runapi.ai/mcp init cursor
2. Restart Cursor
3. Paste this prompt: Generate an image: "Photorealistic interior photograph of a Scandinavian living room with double-height ceilings and floor-to-ceiling windows overlooking a pine forest. Light oak flooring, a cream boucle sofa with linen cushions, a round walnut coffee table, and a single dried eucalyptus stem in a ceramic vase. Late afternoon golden hour light casting long soft shadows across the floor. Like an architectural magazine editorial."
1. npx @runapi.ai/mcp init windsurf
2. Restart Windsurf
3. Paste this prompt: Generate an image: "Photorealistic interior photograph of a Scandinavian living room with double-height ceilings and floor-to-ceiling windows overlooking a pine forest. Light oak flooring, a cream boucle sofa with linen cushions, a round walnut coffee table, and a single dried eucalyptus stem in a ceramic vase. Late afternoon golden hour light casting long soft shadows across the floor. Like an architectural magazine editorial."
curl -X POST https://runapi.ai/api/v1/flux_2/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "flux-2-pro-text-to-image",
  "prompt": "Photorealistic interior photograph of a Scandinavian living room with double-height ceilings and floor-to-ceiling windows overlooking a pine forest. Light oak flooring, a cream boucle sofa with linen cushions, a round walnut coffee table, and a single dried eucalyptus stem in a ceramic vase. Late afternoon golden hour light casting long soft shadows across the floor. Like an architectural magazine editorial."
}
JSON
import { Flux2Client } from "@runapi.ai/flux-2";

const client = new Flux2Client({
  apiKey: process.env.RUNAPI_API_KEY,
});

const result = await client.textToImage.run({
  "model": "flux-2-pro-text-to-image",
  "prompt": "Photorealistic interior photograph of a Scandinavian living room with double-height ceilings and floor-to-ceiling windows overlooking a pine forest. Light oak flooring, a cream boucle sofa with linen cushions, a round walnut coffee table, and a single dried eucalyptus stem in a ceramic vase. Late afternoon golden hour light casting long soft shadows across the floor. Like an architectural magazine editorial."
});
console.log(result.id);
require "runapi/flux_2"

client = RunApi::Flux2::Client.new
result = client.text_to_image.run(
  model: "flux-2-pro-text-to-image",
  prompt: "Photorealistic interior photograph of a Scandinavian living room with double-height ceilings and floor-to-ceiling windows overlooking a pine forest. Light oak flooring, a cream boucle sofa with linen cushions, a round walnut coffee table, and a single dried eucalyptus stem in a ceramic vase. Late afternoon golden hour light casting long soft shadows across the floor. Like an architectural magazine editorial."
)
puts result.id
package main

import (
  "context"
  "fmt"
  "log"
  "net/http"
  "os"
  "strings"
)

func main() {
  body := strings.NewReader("{\"model\":\"flux-2-pro-text-to-image\",\"prompt\":\"Photorealistic interior photograph of a Scandinavian living room with double-height ceilings and floor-to-ceiling windows overlooking a pine forest. Light oak flooring, a cream boucle sofa with linen cushions, a round walnut coffee table, and a single dried eucalyptus stem in a ceramic vase. Late afternoon golden hour light casting long soft shadows across the floor. Like an architectural magazine editorial.\"}")
  req, err := http.NewRequestWithContext(context.Background(), http.MethodPost, "https://runapi.ai/api/v1/flux_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)
}
flux-2-pro-text-to-image /api/v1/flux_2/text_to_image Get API Key
IM
Image
Architecture and Interior flux-2-pro-text-to-image

Photorealistic interior photograph of a Scandinavian living

Photorealistic interior photograph of a Scandinavian living room with double-height ceilings and floor-to-ceiling windows overlooking a pine forest. Light oak flooring, a cream boucle sofa with linen cushions, a round walnut coffee table, and a single dried eucalyptus stem in a ceramic vase. Late afternoon golden hour light casting long soft shadows across the floor. Like an architectural magazine editorial.

View API Code
curl -X POST https://runapi.ai/api/v1/flux_2/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "flux-2-pro-text-to-image",
  "prompt": "Photorealistic interior photograph of a Scandinavian living room with double-height ceilings and floor-to-ceiling windows overlooking a pine forest. Light oak flooring, a cream boucle sofa with linen cushions, a round walnut coffee table, and a single dried eucalyptus stem in a ceramic vase. Late afternoon golden hour light casting long soft shadows across the floor. Like an architectural magazine editorial."
}
JSON
IM
Image
Architecture and Interior flux-2-pro-text-to-image

Interior photograph of a luxury kitchen with floor-to-ceilin

Interior photograph of a luxury kitchen with floor-to-ceiling dark green marble slab backsplash, matte black cabinetry with integrated handles, and a waterfall-edge marble island. Brass pendant lights hang above the island casting warm pools of light. The countertop has a single cutting board with fresh lemons. Moody, dramatic lighting — like an architectural magazine editorial.

View API Code
curl -X POST https://runapi.ai/api/v1/flux_2/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "flux-2-pro-text-to-image",
  "prompt": "Interior photograph of a luxury kitchen with floor-to-ceiling dark green marble slab backsplash, matte black cabinetry with integrated handles, and a waterfall-edge marble island. Brass pendant lights hang above the island casting warm pools of light. The countertop has a single cutting board with fresh lemons. Moody, dramatic lighting — like an architectural magazine editorial."
}
JSON
FAQ

Using flux-2-pro-text-to-image prompts

What is %{model}?

%{model} is available through RunAPI as part of the unified model catalog. These prompts show practical input patterns that agents and backend services can reuse.

How do I use these prompts?

Copy any prompt and paste it into Claude Code, Codex, Cursor, or Windsurf after installing the RunAPI MCP Server. Developers can also copy the API example and send the prompt directly.

Do these prompts cost money to browse?

Browsing and copying prompt examples is free. Generation requests only cost money when you call a RunAPI model with your API key.

Can I adapt the prompts for production?

Yes. Treat each prompt as a starting point, then add your brand rules, output dimensions, safety constraints, and application-specific context before using it in production.