curl -X POST "https://api.openai.com/v1/images/generations" \
 -H "Authorization: Bearer YOUR_API_KEY" \
 -H "Content-Type: application/json" \
 -d '{
 "model": "gpt-image-1",
 "prompt": "A modern tech startup office with floor-to-ceiling windows overlooking a city skyline at sunset. Developers working at standing desks with multiple monitors showing code. Photorealistic style.",
 "n": 1,
 "size": "1536x1024",
 "quality": "high"
 }'

from openai import OpenAI
import base64

# Using Crazyrouter for cost savings
client = OpenAI(
 api_key="YOUR_CRAZYROUTER_KEY",
 base_url="https://crazyrouter.com/v1"
)

# Generate an image
response = client.images.generate(
 model="gpt-image-1",
 prompt="A futuristic AI chip glowing with blue neural pathways, "
 "placed on a circuit board. Macro photography, shallow depth of field.",
 n=1,
 size="1024x1024",
 quality="high",
 response_format="b64_json"
)

# Save the image
image_data = base64.b64decode(response.data[0].b64_json)
with open("ai_chip.png", "wb") as f:
 f.write(image_data)

print(f"Image saved! Revised prompt: {response.data[0].revised_prompt}")

import OpenAI from 'openai';
import fs from 'fs';

const client = new OpenAI({
 apiKey: process.env.CRAZYROUTER_API_KEY,
 baseURL: 'https://crazyrouter.com/v1'
});

async function generateImage() {
 const response = await client.images.generate({
 model: 'gpt-image-1',
 prompt: 'A clean, minimal infographic showing the architecture of a modern AI API gateway. Include labeled boxes for "Client", "API Gateway", "Load Balancer", and multiple "AI Provider" nodes. Professional tech diagram style.',
 n: 1,
 size: '1536x1024',
 quality: 'high'
 });

 console.log('Image URL:', response.data[0].url);
 
 // Download and save
 const imageResponse = await fetch(response.data[0].url);
 const buffer = Buffer.from(await imageResponse.arrayBuffer());
 fs.writeFileSync('architecture.png', buffer);
}

generateImage();

# Edit an existing image with gpt-image-1
response = client.images.edit(
 model="gpt-image-1",
 image=open("original.png", "rb"),
 mask=open("mask.png", "rb"), # Optional: white areas = edit regions
 prompt="Replace the background with a tropical beach at sunset",
 n=1,
 size="1024x1024"
)

print(f"Edited image: {response.data[0].url}")

❌ "A cat"
✅ "A tabby cat sitting on a windowsill, golden hour lighting, 
 shot on Canon EOS R5, shallow depth of field, warm tones"

❌ "A website mockup"
✅ "A clean SaaS dashboard UI mockup showing analytics charts, 
 dark mode, modern design with purple accent colors, 
 16:9 aspect ratio, high fidelity wireframe"

"A professional headshot photo of a business executive.
 Do NOT include: watermarks, text overlays, artistic filters, 
 or unrealistic lighting."

"Split image: Left side shows a traditional office with paper files,
 right side shows a modern AI-powered workspace with holographic displays.
 Connected by a gradient transition in the middle."

import asyncio
from openai import AsyncOpenAI

client = AsyncOpenAI(
 api_key="YOUR_CRAZYROUTER_KEY",
 base_url="https://crazyrouter.com/v1"
)

async def generate_batch(prompts):
 tasks = [
 client.images.generate(
 model="gpt-image-1",
 prompt=prompt,
 n=1,
 size="1024x1024",
 quality="standard"
 )
 for prompt in prompts
 ]
 results = await asyncio.gather(*tasks)
 return [r.data[0].url for r in results]

prompts = [
 "A minimalist logo for an AI company, blue and white",
 "A developer typing code, cinematic lighting",
 "An abstract visualization of neural networks"
]

urls = asyncio.run(generate_batch(prompts))
for url in urls:
 print(url)