Image Generation

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

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

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

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

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

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

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

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

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