Image Generation

from openai import OpenAI
client = OpenAI(
    base_url="https://api.neura-ai.app/v1"
)
response = client.images.generate(
    model="dall-e-3",
    prompt="A futuristic city at sunset with flying cars and neon lights"
)
print(response.data[0].url)

response = client.images.generate(
    model="dall-e-3",
    prompt="A cozy coffee shop interior",
    extra_body={"enhance": True}
)
print(response.data[0].url)

response = client.images.generate(
    model="dall-e-3",
    prompt="A majestic mountain landscape",
    size="1024x1024"  # Check model documentation for supported sizes
)

response = client.images.generate(
    model="dall-e-3",
    prompt="""
    An oil painting of a serene Japanese garden during cherry blossom season.
    Include a wooden bridge over a koi pond, stone lanterns, and Mount Fuji 
    in the background. Style: traditional impressionism with soft brush strokes.
    """,
    extra_body={"enhance": True}
)

response = client.images.generate(
    model="dall-e-3",
    prompt="""
    A sleek, modern smartwatch on a marble surface with soft lighting.
    Professional product photography style, studio quality, high detail.
    """,
    size="1024x1024"
)

response = client.images.generate(
    model="dall-e-3",
    prompt="""
    A cyberpunk character portrait: female hacker with neon blue hair,
    augmented reality glasses, leather jacket with glowing circuit patterns.
    Dark background with holographic displays. Digital art style.
    """,
    extra_body={"enhance": True}
)

response = client.images.generate(
    model="dall-e-3",
    prompt="""
    Futuristic eco-friendly skyscraper with vertical gardens, solar panels,
    and organic curved architecture. Surrounded by lush greenery. 
    Architectural rendering style.
    """,
    size="1024x1792"
)

import requests
from PIL import Image
from io import BytesIO
response = client.images.generate(
    model="dall-e-3",
    prompt="A peaceful forest scene with sunlight filtering through trees"
)
# Get the image URL
image_url = response.data[0].url
# Download and save
img_response = requests.get(image_url)
img = Image.open(BytesIO(img_response.content))
img.save("generated_image.png")

for i in range(3):
    response = client.images.generate(
        model="dall-e-3",
        prompt="A mystical wizard casting a spell"
    )
    print(f"Variation {i+1}: {response.data[0].url}")