import google.generativeai as genai
import base64

genai.configure(api_key="your-google-api-key")

model = genai.GenerativeModel("gemini-2.5-flash")

response = model.generate_content(
 "Generate an image of a futuristic Tokyo skyline at sunset with flying cars and neon signs",
 generation_config=genai.GenerationConfig(
 response_modalities=["TEXT", "IMAGE"]
 )
)

# Extract image from response
for part in response.candidates[0].content.parts:
 if part.inline_data:
 image_data = base64.b64decode(part.inline_data.data)
 with open("tokyo_skyline.png", "wb") as f:
 f.write(image_data)
 print("Image saved!")
 elif part.text:
 print(part.text)

from openai import OpenAI

client = OpenAI(
 api_key="your-crazyrouter-key",
 base_url="https://api.crazyrouter.com/v1"
)

# Method 1: Using chat completions with image output
response = client.chat.completions.create(
 model="gemini-2.5-flash",
 messages=[
 {
 "role": "user",
 "content": "Generate an image: A cozy coffee shop interior with warm lighting, bookshelves, and a cat sleeping on a windowsill"
 }
 ]
)

# Method 2: Using the images endpoint
response = client.images.generate(
 model="gemini-2.5-flash",
 prompt="A minimalist logo design for a tech startup called 'NeuralFlow' with blue and purple gradients",
 size="1024x1024",
 n=1
)

image_url = response.data[0].url
print(f"Image URL: {image_url}")

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

const client = new OpenAI({
 apiKey: 'your-crazyrouter-key',
 baseURL: 'https://api.crazyrouter.com/v1'
});

async function generateImage(prompt) {
 const response = await client.images.generate({
 model: 'gemini-2.5-flash',
 prompt: prompt,
 size: '1024x1024',
 n: 1,
 response_format: 'b64_json'
 });

 const imageBuffer = Buffer.from(response.data[0].b64_json, 'base64');
 fs.writeFileSync('output.png', imageBuffer);
 console.log('Image saved to output.png');
}

generateImage('An isometric illustration of a developer workspace with multiple monitors showing code');

curl https://api.crazyrouter.com/v1/images/generations \
 -H "Content-Type: application/json" \
 -H "Authorization: Bearer your-crazyrouter-key" \
 -d '{
 "model": "gemini-2.5-flash",
 "prompt": "A watercolor painting of a Japanese garden in autumn",
 "size": "1024x1024",
 "n": 1
 }'

import google.generativeai as genai
import PIL.Image

model = genai.GenerativeModel("gemini-2.5-flash")

# Load an existing image
image = PIL.Image.open("my_photo.jpg")

# Edit the image through conversation
response = model.generate_content(
 [
 image,
 "Remove the background and replace it with a professional studio backdrop. Keep the subject unchanged."
 ],
 generation_config=genai.GenerationConfig(
 response_modalities=["TEXT", "IMAGE"]
 )
)

chat = model.start_chat()

# First: generate base image
response1 = chat.send_message(
 "Generate a simple house illustration",
 generation_config=genai.GenerationConfig(response_modalities=["TEXT", "IMAGE"])
)

# Second: modify it
response2 = chat.send_message(
 "Add a garden with flowers in front of the house",
 generation_config=genai.GenerationConfig(response_modalities=["TEXT", "IMAGE"])
)

# Third: further refinement
response3 = chat.send_message(
 "Make it nighttime with stars and warm light coming from the windows",
 generation_config=genai.GenerationConfig(response_modalities=["TEXT", "IMAGE"])
)

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

❌ "A city"
✅ "Bird's eye view of a cyberpunk city at night, wide angle, symmetrical composition, neon purple and blue color palette"

✅ "A mountain landscape in the style of Studio Ghibli, soft watercolors, dreamy atmosphere"
✅ "A portrait in the style of Art Nouveau, ornate borders, muted earth tones"
✅ "An architectural rendering, clean lines, minimalist, Bauhaus style"

✅ "A vintage movie poster for a film called 'NEURAL DREAMS' with the tagline 'The future is thinking' in art deco style"
✅ "A neon sign that reads 'OPEN 24/7' on a brick wall, rainy night, reflections on wet pavement"