Midjourney API –
Generate AI Images

const { Apiframe } = require('@apiframe-ai/sdk');

const client = new Apiframe({
  apiKey: 'your_api_key_here'
});

async function generateImage() {
  const task = await client.midjourney.imagine({
    prompt: 'a serene mountain landscape at sunset, photorealistic',
    aspect_ratio: '16:9'
  });

  console.log('Task created:', task.id);

  const result = await client.tasks.waitFor(task.id, {
    onProgress: (p) => console.log('Progress:', p)
  });

  console.log('Images ready:', result.image_urls);
}

generateImage();

from apiframe import Apiframe

# Initialize the client
client = Apiframe(api_key='your_api_key_here')

# Create an image generation task
task = client.midjourney.imagine({
    'prompt': 'a serene mountain landscape at sunset, photorealistic',
    'aspect_ratio': '16:9'
})

print(f"Task created: {task['id']}")

# Wait for completion with progress updates
result = client.tasks.wait_for(
    task['id'],
    on_progress=lambda p: print(f'Progress: {p}%'))

print(f"Images ready: {result['image_urls']}")  # imagine returns 4 images

# Close the client
client.close()

<?php

require 'vendor/autoload.php';

use Apiframe\Apiframe;

$client = new Apiframe([
    'apiKey' => 'your_api_key_here'
]);

// Create an image generation task
$task = $client->midjourney->imagine([
    'prompt' => 'a serene mountain landscape at sunset, photorealistic',
    'aspect_ratio' => '16:9'
]);

echo "Task created: {$task['id']}\n";

// Wait for completion with progress updates
$result = $client->tasks->waitFor($task['id'], [
    'onProgress' => function($progress) {
        echo "Progress: {$progress}%\n";
    }
]);

echo "Images ready: " . json_encode($result['image_urls']) . "\n";

package main

import (
	"fmt"
	"log"
	"os"

	"github.com/apiframe-ai/apiframe-go-sdk"
)

func main() {
	// Create a new Apiframe client
	client, err := apiframe.NewClient(apiframe.Config{
		APIKey: os.Getenv("APIFRAME_API_KEY"),
	})
	if err != nil {
		log.Fatal(err)
	}

	// Create an image generation task
	task, err := client.Midjourney.Imagine(apiframe.MidjourneyImagineParams{
		Prompt:      "a serene mountain landscape at sunset, photorealistic",
		AspectRatio: "16:9",
	})
	if err != nil {
		log.Fatal(err)
	}

	fmt.Printf("Task created: %s\n", task.ID)

	// Wait for completion with progress updates
	result, err := client.Tasks.WaitFor(task.ID, &apiframe.WaitForOptions{
		OnProgress: func(progress int) {
			fmt.Printf("Progress: %d%%\n", progress)
		},
	})
	if err != nil {
		log.Fatal(err)
	}

	fmt.Printf("Images ready: %v\n", result.ImageURLs)
}

curl -X POST https://api.apiframe.ai/imagine \
  -H "Authorization: Bearer xxxxxxxxxxxxxxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "a serene mountain landscape at sunset, photorealistic",
    "aspect_ratio": "16:9"
  }'