https://api.eng0.ai/api/data

curl -X POST https://api.eng0.ai/api/data/images/generate \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A futuristic cityscape at sunset with flying cars",
    "model": "flash",
    "aspectRatio": "16:9"
  }'

{
  "image": {
    "base64": "iVBORw0KGgoAAAANSUhEUgAA...",
    "mimeType": "image/png",
    "dataUrl": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAA..."
  },
  "description": "A vibrant futuristic cityscape..."
}

curl -X POST https://api.eng0.ai/api/data/images/generate \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A cute robot holding a cup of coffee"
  }'

curl -X POST https://api.eng0.ai/api/data/images/generate \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Professional product photo of a sleek smartphone on marble surface",
    "model": "pro",
    "imageSize": "4K",
    "aspectRatio": "4:3"
  }'

curl -X POST https://api.eng0.ai/api/data/images/generate \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Abstract gradient background with geometric shapes in blue and purple",
    "aspectRatio": "16:9"
  }'

curl -X POST https://api.eng0.ai/api/data/images/generate \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Cozy coffee shop interior with warm lighting",
    "aspectRatio": "9:16"
  }'

import requests
import base64
from pathlib import Path

BASE_URL = "https://api.eng0.ai/api/data"

def generate_image(
    prompt: str,
    model: str = "flash",
    aspect_ratio: str = "1:1",
    image_size: str = "1K"
) -> dict:
    """Generate an image from a text prompt."""
    response = requests.post(
        f"{BASE_URL}/images/generate",
        json={
            "prompt": prompt,
            "model": model,
            "aspectRatio": aspect_ratio,
            "imageSize": image_size
        }
    )
    return response.json()

def save_image(result: dict, filepath: str) -> None:
    """Save generated image to a file."""
    if "image" in result:
        image_data = base64.b64decode(result["image"]["base64"])
        Path(filepath).write_bytes(image_data)
        print(f"Saved to {filepath}")
    else:
        print(f"Error: {result.get('error', 'Unknown error')}")

---

const fs = require('fs');

const BASE_URL = 'https://api.eng0.ai/api/data';

async function generateImage(prompt, options = {}) {
  const response = await fetch(`${BASE_URL}/images/generate`, {
    method: 'POST',
    headers: { 'Content-Type': 'application/json' },
    body: JSON.stringify({
      prompt,
      model: options.model || 'flash',
      aspectRatio: options.aspectRatio || '1:1',
      imageSize: options.imageSize || '1K'
    })
  });
  return response.json();
}

function saveImage(result, filepath) {
  if (result.image) {
    const buffer = Buffer.from(result.image.base64, 'base64');
    fs.writeFileSync(filepath, buffer);
    console.log(`Saved to ${filepath}`);
  } else {
    console.error('Error:', result.error || 'Unknown error');
  }
}

// Example usage
(async () => {
  const result = await generateImage(
    'A neon-lit cyberpunk street scene at night',
    { aspectRatio: '21:9' }
  );
  saveImage(result, 'cyberpunk.png');
})();

Bad:  "A dog"
Good: "A golden retriever puppy playing in autumn leaves, warm sunlight"

"Oil painting style portrait of a woman in Renaissance clothing"
"Minimalist vector illustration of a mountain range"
"Photorealistic close-up of a dewdrop on a leaf"

"... with dramatic side lighting"
"... golden hour sunlight"
"... soft diffused studio lighting"

"... in the style of Studio Ghibli"
"... professional product photography"
"... vintage 1970s film aesthetic"

{
  "error": "No image generated",
  "message": "SAFETY"
}

{
  "error": "Invalid parameters",
  "message": "Missing required parameter: prompt"
}