MODEL PROMPTS

z-image Prompts — 1 curated examples

Examples for using z-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

z-image

Modality
Image
Provider
Alibaba
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: "Abstract generative art composed of hundreds of parallel flowing lines that create a topographic map effect. The lines are thin and precise, drawn in varying shades of teal and coral against a deep navy background. Where the lines converge, they create the illusion of valleys and peaks in an imaginary terrain. The overall composition suggests a bird's-eye view of an alien landscape. Clean vector aesthetic with no texture or noise. Suitable for a large format print at 60x40 inches."
1. codex plugin install runapi-mcp@agents
2. Restart Codex
3. Paste this prompt: Generate an image: "Abstract generative art composed of hundreds of parallel flowing lines that create a topographic map effect. The lines are thin and precise, drawn in varying shades of teal and coral against a deep navy background. Where the lines converge, they create the illusion of valleys and peaks in an imaginary terrain. The overall composition suggests a bird's-eye view of an alien landscape. Clean vector aesthetic with no texture or noise. Suitable for a large format print at 60x40 inches."
1. npx @runapi.ai/mcp init cursor
2. Restart Cursor
3. Paste this prompt: Generate an image: "Abstract generative art composed of hundreds of parallel flowing lines that create a topographic map effect. The lines are thin and precise, drawn in varying shades of teal and coral against a deep navy background. Where the lines converge, they create the illusion of valleys and peaks in an imaginary terrain. The overall composition suggests a bird's-eye view of an alien landscape. Clean vector aesthetic with no texture or noise. Suitable for a large format print at 60x40 inches."
1. npx @runapi.ai/mcp init windsurf
2. Restart Windsurf
3. Paste this prompt: Generate an image: "Abstract generative art composed of hundreds of parallel flowing lines that create a topographic map effect. The lines are thin and precise, drawn in varying shades of teal and coral against a deep navy background. Where the lines converge, they create the illusion of valleys and peaks in an imaginary terrain. The overall composition suggests a bird's-eye view of an alien landscape. Clean vector aesthetic with no texture or noise. Suitable for a large format print at 60x40 inches."
curl -X POST https://runapi.ai/api/v1/z_image/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "z-image",
  "prompt": "Abstract generative art composed of hundreds of parallel flowing lines that create a topographic map effect. The lines are thin and precise, drawn in varying shades of teal and coral against a deep navy background. Where the lines converge, they create the illusion of valleys and peaks in an imaginary terrain. The overall composition suggests a bird's-eye view of an alien landscape. Clean vector aesthetic with no texture or noise. Suitable for a large format print at 60x40 inches."
}
JSON
import { ZImageClient } from "@runapi.ai/z-image";

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

const result = await client.textToImage.run({
  "model": "z-image",
  "prompt": "Abstract generative art composed of hundreds of parallel flowing lines that create a topographic map effect. The lines are thin and precise, drawn in varying shades of teal and coral against a deep navy background. Where the lines converge, they create the illusion of valleys and peaks in an imaginary terrain. The overall composition suggests a bird's-eye view of an alien landscape. Clean vector aesthetic with no texture or noise. Suitable for a large format print at 60x40 inches."
});
console.log(result.id);
require "runapi/z_image"

client = RunApi::ZImage::Client.new
result = client.text_to_image.run(
  model: "z-image",
  prompt: "Abstract generative art composed of hundreds of parallel flowing lines that create a topographic map effect. The lines are thin and precise, drawn in varying shades of teal and coral against a deep navy background. Where the lines converge, they create the illusion of valleys and peaks in an imaginary terrain. The overall composition suggests a bird's-eye view of an alien landscape. Clean vector aesthetic with no texture or noise. Suitable for a large format print at 60x40 inches."
)
puts result.id
package main

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

func main() {
  body := strings.NewReader("{\"model\":\"z-image\",\"prompt\":\"Abstract generative art composed of hundreds of parallel flowing lines that create a topographic map effect. The lines are thin and precise, drawn in varying shades of teal and coral against a deep navy background. Where the lines converge, they create the illusion of valleys and peaks in an imaginary terrain. The overall composition suggests a bird's-eye view of an alien landscape. Clean vector aesthetic with no texture or noise. Suitable for a large format print at 60x40 inches.\"}")
  req, err := http.NewRequestWithContext(context.Background(), http.MethodPost, "https://runapi.ai/api/v1/z_image/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)
}
z-image /api/v1/z_image/text_to_image Get API Key
IM
Image
abstract z-image

Abstract generative art — topographic lines

Abstract generative art composed of hundreds of parallel flowing lines that create a topographic map effect. The lines are thin and precise, drawn in varying shades of teal and coral against a deep navy background. Where the lines converge, they create the illusion of valleys and peaks in an imaginary terrain. The overall composition suggests a bird's-eye view of an alien landscape. Clean vector aesthetic with no texture or noise. Suitable for a large format print at 60x40 inches.

View API Code
curl -X POST https://runapi.ai/api/v1/z_image/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "z-image",
  "prompt": "Abstract generative art composed of hundreds of parallel flowing lines that create a topographic map effect. The lines are thin and precise, drawn in varying shades of teal and coral against a deep navy background. Where the lines converge, they create the illusion of valleys and peaks in an imaginary terrain. The overall composition suggests a bird's-eye view of an alien landscape. Clean vector aesthetic with no texture or noise. Suitable for a large format print at 60x40 inches."
}
JSON
FAQ

Using z-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.