Refer Grok-3 API documetation, and get latest API url
If you're referring to an API that generates images (e.g., using AI models like DALL·E, Stable Diffusion, or similar), the process typically involves sending a text prompt to the API and receiving an image in response. Below is a **sample Python code** for interacting with an image generation API, assuming it works similarly to popular AI image generation APIs.
---
### Sample Python Code for Image Generation API
python
import requests
import json
from PIL import Image
from io import BytesIO
# Replace with your actual API key and endpoint
API_KEY = 'your_api_key_here'
API_URL = 'https://api.example.com/v1/generate-image' # Replace with the actual API endpoint
# Headers including the API key for authentication
headers = {
'Authorization': f'Bearer {API_KEY}',
'Content-Type': 'application/json'
}
# Sample data to send in the request body
data = {
'prompt': 'A futuristic cityscape at sunset with flying cars', # Your text prompt
'size': '1024x1024', # Desired image size
'num_images': 1, # Number of images to generate
'style': 'digital art' # Optional: specify a style
}
# Make the POST request to the API
response = requests.post(API_URL, headers=headers, json=data)
# Check if the request was successful
if response.status_code == 200:
# Parse the JSON response (assuming the API returns a URL or base64 image)
result = response.json()
# If the API returns a URL to the generated image
if 'image_url' in result:
image_url = result['image_url']
print('Image URL:', image_url)
# Download the image
image_response = requests.get(image_url)
image = Image.open(BytesIO(image_response.content))
image.show() # Display the image
# If the API returns a base64-encoded image
elif 'image_base64' in result:
import base64
image_data = base64.b64decode(result['image_base64'])
image = Image.open(BytesIO(image_data))
image.show() # Display the image
else:
print('Unexpected response format:', result)
else:
print(f'Error: {response.status_code}')
print('Response:', response.text)
