Examples for using grok-imagine-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: "Full-body character design sheet of a cyberpunk street food vendor. She is in her 40s with short silver hair, wearing a worn leather apron over a neon-trimmed utility vest. Her left arm is a prosthetic with built-in cooking utensils — a spatula attachment and a temperature sensor readout on the forearm. She stands behind a hovering food cart with holographic menu displays. Three-quarter view with a small turnaround sketch in the corner. Muted earth tones for clothing contrasted with cyan and magenta neon accents. Character design sheet layout with white background."
1. codex plugin install runapi-mcp@agents
2. Restart Codex
3. Paste this prompt: Generate an image: "Full-body character design sheet of a cyberpunk street food vendor. She is in her 40s with short silver hair, wearing a worn leather apron over a neon-trimmed utility vest. Her left arm is a prosthetic with built-in cooking utensils — a spatula attachment and a temperature sensor readout on the forearm. She stands behind a hovering food cart with holographic menu displays. Three-quarter view with a small turnaround sketch in the corner. Muted earth tones for clothing contrasted with cyan and magenta neon accents. Character design sheet layout with white background."
1. npx @runapi.ai/mcp init cursor
2. Restart Cursor
3. Paste this prompt: Generate an image: "Full-body character design sheet of a cyberpunk street food vendor. She is in her 40s with short silver hair, wearing a worn leather apron over a neon-trimmed utility vest. Her left arm is a prosthetic with built-in cooking utensils — a spatula attachment and a temperature sensor readout on the forearm. She stands behind a hovering food cart with holographic menu displays. Three-quarter view with a small turnaround sketch in the corner. Muted earth tones for clothing contrasted with cyan and magenta neon accents. Character design sheet layout with white background."
1. npx @runapi.ai/mcp init windsurf
2. Restart Windsurf
3. Paste this prompt: Generate an image: "Full-body character design sheet of a cyberpunk street food vendor. She is in her 40s with short silver hair, wearing a worn leather apron over a neon-trimmed utility vest. Her left arm is a prosthetic with built-in cooking utensils — a spatula attachment and a temperature sensor readout on the forearm. She stands behind a hovering food cart with holographic menu displays. Three-quarter view with a small turnaround sketch in the corner. Muted earth tones for clothing contrasted with cyan and magenta neon accents. Character design sheet layout with white background."
curl -X POST https://runapi.ai/api/v1/grok_imagine/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "grok-imagine-text-to-image",
"prompt": "Full-body character design sheet of a cyberpunk street food vendor. She is in her 40s with short silver hair, wearing a worn leather apron over a neon-trimmed utility vest. Her left arm is a prosthetic with built-in cooking utensils — a spatula attachment and a temperature sensor readout on the forearm. She stands behind a hovering food cart with holographic menu displays. Three-quarter view with a small turnaround sketch in the corner. Muted earth tones for clothing contrasted with cyan and magenta neon accents. Character design sheet layout with white background."
}
JSON
import { GrokImagineClient } from "@runapi.ai/grok-imagine";
const client = new GrokImagineClient({
apiKey: process.env.RUNAPI_API_KEY,
});
const result = await client.textToImage.run({
"model": "grok-imagine-text-to-image",
"prompt": "Full-body character design sheet of a cyberpunk street food vendor. She is in her 40s with short silver hair, wearing a worn leather apron over a neon-trimmed utility vest. Her left arm is a prosthetic with built-in cooking utensils — a spatula attachment and a temperature sensor readout on the forearm. She stands behind a hovering food cart with holographic menu displays. Three-quarter view with a small turnaround sketch in the corner. Muted earth tones for clothing contrasted with cyan and magenta neon accents. Character design sheet layout with white background."
});
console.log(result.id);
require "runapi/grok_imagine"
client = RunApi::GrokImagine::Client.new
result = client.text_to_image.run(
model: "grok-imagine-text-to-image",
prompt: "Full-body character design sheet of a cyberpunk street food vendor. She is in her 40s with short silver hair, wearing a worn leather apron over a neon-trimmed utility vest. Her left arm is a prosthetic with built-in cooking utensils — a spatula attachment and a temperature sensor readout on the forearm. She stands behind a hovering food cart with holographic menu displays. Three-quarter view with a small turnaround sketch in the corner. Muted earth tones for clothing contrasted with cyan and magenta neon accents. Character design sheet layout with white background."
)
puts result.id
package main
import (
"context"
"fmt"
"log"
"net/http"
"os"
"strings"
)
func main() {
body := strings.NewReader("{\"model\":\"grok-imagine-text-to-image\",\"prompt\":\"Full-body character design sheet of a cyberpunk street food vendor. She is in her 40s with short silver hair, wearing a worn leather apron over a neon-trimmed utility vest. Her left arm is a prosthetic with built-in cooking utensils — a spatula attachment and a temperature sensor readout on the forearm. She stands behind a hovering food cart with holographic menu displays. Three-quarter view with a small turnaround sketch in the corner. Muted earth tones for clothing contrasted with cyan and magenta neon accents. Character design sheet layout with white background.\"}")
req, err := http.NewRequestWithContext(context.Background(), http.MethodPost, "https://runapi.ai/api/v1/grok_imagine/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)
}
grok-imagine-text-to-image/api/v1/grok_imagine/text_to_imageGet API Key
Full-body character design sheet of a cyberpunk street food vendor. She is in her 40s with short silver hair, wearing a worn leather apron over a neon-trimmed utility vest. Her left arm is a prosthetic with built-in cooking utensils — a spatula attachment and a temperature sensor readout on the forearm. She stands behind a hovering food cart with holographic menu displays. Three-quarter view with a small turnaround sketch in the corner. Muted earth tones for clothing contrasted with cyan and magenta neon accents. Character design sheet layout with white background.
curl -X POST https://runapi.ai/api/v1/grok_imagine/text_to_image \
-H "Authorization: Bearer $RUNAPI_KEY" \
-H "Content-Type: application/json" \
--data-binary @- <<'JSON'
{
"model": "grok-imagine-text-to-image",
"prompt": "Full-body character design sheet of a cyberpunk street food vendor. She is in her 40s with short silver hair, wearing a worn leather apron over a neon-trimmed utility vest. Her left arm is a prosthetic with built-in cooking utensils — a spatula attachment and a temperature sensor readout on the forearm. She stands behind a hovering food cart with holographic menu displays. Three-quarter view with a small turnaround sketch in the corner. Muted earth tones for clothing contrasted with cyan and magenta neon accents. Character design sheet layout with white background."
}
JSON
FAQ
Using grok-imagine-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.