Examples for using qwen-2-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.
1. claude mcp add runapi -s user -- npx -y @runapi.ai/mcp
2. Restart Claude Code
3. Paste this prompt: Generate an image: "High fashion editorial photograph of a model standing in a stark white room. Harsh afternoon sunlight streams through a geometric lattice window, casting intricate diamond-shaped shadow patterns across the model's face, bare shoulders, and a flowing silk dress in deep burgundy. The model gazes directly at the camera with a composed, neutral expression. Strong contrast between illuminated skin and deep shadows. Minimal styling — hair pulled back tightly, no visible jewelry. The composition is centered and symmetrical. Richard Avedon meets architectural photography."
1. codex plugin install runapi-mcp@agents
2. Restart Codex
3. Paste this prompt: Generate an image: "High fashion editorial photograph of a model standing in a stark white room. Harsh afternoon sunlight streams through a geometric lattice window, casting intricate diamond-shaped shadow patterns across the model's face, bare shoulders, and a flowing silk dress in deep burgundy. The model gazes directly at the camera with a composed, neutral expression. Strong contrast between illuminated skin and deep shadows. Minimal styling — hair pulled back tightly, no visible jewelry. The composition is centered and symmetrical. Richard Avedon meets architectural photography."
1. npx @runapi.ai/mcp init cursor
2. Restart Cursor
3. Paste this prompt: Generate an image: "High fashion editorial photograph of a model standing in a stark white room. Harsh afternoon sunlight streams through a geometric lattice window, casting intricate diamond-shaped shadow patterns across the model's face, bare shoulders, and a flowing silk dress in deep burgundy. The model gazes directly at the camera with a composed, neutral expression. Strong contrast between illuminated skin and deep shadows. Minimal styling — hair pulled back tightly, no visible jewelry. The composition is centered and symmetrical. Richard Avedon meets architectural photography."
1. npx @runapi.ai/mcp init windsurf
2. Restart Windsurf
3. Paste this prompt: Generate an image: "High fashion editorial photograph of a model standing in a stark white room. Harsh afternoon sunlight streams through a geometric lattice window, casting intricate diamond-shaped shadow patterns across the model's face, bare shoulders, and a flowing silk dress in deep burgundy. The model gazes directly at the camera with a composed, neutral expression. Strong contrast between illuminated skin and deep shadows. Minimal styling — hair pulled back tightly, no visible jewelry. The composition is centered and symmetrical. Richard Avedon meets architectural photography."
curl -X POST https://runapi.ai/api/v1/qwen_2/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "qwen-2-text-to-image",
"prompt": "High fashion editorial photograph of a model standing in a stark white room. Harsh afternoon sunlight streams through a geometric lattice window, casting intricate diamond-shaped shadow patterns across the model's face, bare shoulders, and a flowing silk dress in deep burgundy. The model gazes directly at the camera with a composed, neutral expression. Strong contrast between illuminated skin and deep shadows. Minimal styling — hair pulled back tightly, no visible jewelry. The composition is centered and symmetrical. Richard Avedon meets architectural photography."
}
JSON
import { Qwen2Client } from "@runapi.ai/qwen-2";
const client = new Qwen2Client({
apiKey: process.env.RUNAPI_API_KEY,
});
const result = await client.textToImage.run({
"model": "qwen-2-text-to-image",
"prompt": "High fashion editorial photograph of a model standing in a stark white room. Harsh afternoon sunlight streams through a geometric lattice window, casting intricate diamond-shaped shadow patterns across the model's face, bare shoulders, and a flowing silk dress in deep burgundy. The model gazes directly at the camera with a composed, neutral expression. Strong contrast between illuminated skin and deep shadows. Minimal styling — hair pulled back tightly, no visible jewelry. The composition is centered and symmetrical. Richard Avedon meets architectural photography."
});
console.log(result.id);
require "runapi/qwen_2"
client = RunApi::Qwen2::Client.new
result = client.text_to_image.run(
model: "qwen-2-text-to-image",
prompt: "High fashion editorial photograph of a model standing in a stark white room. Harsh afternoon sunlight streams through a geometric lattice window, casting intricate diamond-shaped shadow patterns across the model's face, bare shoulders, and a flowing silk dress in deep burgundy. The model gazes directly at the camera with a composed, neutral expression. Strong contrast between illuminated skin and deep shadows. Minimal styling — hair pulled back tightly, no visible jewelry. The composition is centered and symmetrical. Richard Avedon meets architectural photography."
)
puts result.id
package main
import (
"context"
"fmt"
"log"
"net/http"
"os"
"strings"
)
func main() {
body := strings.NewReader("{\"model\":\"qwen-2-text-to-image\",\"prompt\":\"High fashion editorial photograph of a model standing in a stark white room. Harsh afternoon sunlight streams through a geometric lattice window, casting intricate diamond-shaped shadow patterns across the model's face, bare shoulders, and a flowing silk dress in deep burgundy. The model gazes directly at the camera with a composed, neutral expression. Strong contrast between illuminated skin and deep shadows. Minimal styling — hair pulled back tightly, no visible jewelry. The composition is centered and symmetrical. Richard Avedon meets architectural photography.\"}")
req, err := http.NewRequestWithContext(context.Background(), http.MethodPost, "https://runapi.ai/api/v1/qwen_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)
}
qwen-2-text-to-image/api/v1/qwen_2/text_to_imageGet API Key
High fashion editorial photograph of a model standing in a stark white room. Harsh afternoon sunlight streams through a geometric lattice window, casting intricate diamond-shaped shadow patterns across the model's face, bare shoulders, and a flowing silk dress in deep burgundy. The model gazes directly at the camera with a composed, neutral expression. Strong contrast between illuminated skin and deep shadows. Minimal styling — hair pulled back tightly, no visible jewelry. The composition is centered and symmetrical. Richard Avedon meets architectural photography.
curl -X POST https://runapi.ai/api/v1/qwen_2/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "qwen-2-text-to-image",
"prompt": "High fashion editorial photograph of a model standing in a stark white room. Harsh afternoon sunlight streams through a geometric lattice window, casting intricate diamond-shaped shadow patterns across the model's face, bare shoulders, and a flowing silk dress in deep burgundy. The model gazes directly at the camera with a composed, neutral expression. Strong contrast between illuminated skin and deep shadows. Minimal styling — hair pulled back tightly, no visible jewelry. The composition is centered and symmetrical. Richard Avedon meets architectural photography."
}
JSON
FAQ
Using qwen-2-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.