One API for Thumbnail Generation at Scale

from openai import OpenAI
import concurrent.futures

# Drop-in OpenAI SDK — just change base_url
client = OpenAI(
    api_key="YOUR_CREATIVEAI_KEY",
    base_url="https://api.creativeai.run/v1",
)

# Generate A/B thumbnail variants for a YouTube video
# Vary face expression, text placement, and color scheme
thumbnail_tests = [
    {
        "video_id": "how-to-cook-pasta",
        "variants": [
            {
                "name": "shocked-face-red",
                "prompt": (
                    "YouTube thumbnail, close-up shocked face of a young chef, "
                    "bright red background, bold white text 'PASTA HACK' in upper right, "
                    "steam rising from a pasta pot, high contrast, vivid colors, 16:9"
                ),
            },
            {
                "name": "smiling-face-yellow",
                "prompt": (
                    "YouTube thumbnail, smiling chef holding a plate of pasta, "
                    "warm yellow gradient background, bold black text 'EASY PASTA' bottom left, "
                    "appetizing food photography style, high contrast, 16:9"
                ),
            },
            {
                "name": "minimal-text-heavy",
                "prompt": (
                    "YouTube thumbnail, dramatic overhead shot of perfect pasta dish, "
                    "dark moody background, large bold white text '5 MIN PASTA' centered, "
                    "subtle steam effect, cinematic lighting, 16:9"
                ),
            },
        ],
    },
]

def generate_thumbnail_variants(test):
    """Generate all A/B variants for one video's thumbnails."""
    results = []
    for variant in test["variants"]:
        result = client.images.generate(
            model="seedream-3",  # Seedream V1.5 — fast face & text rendering
            prompt=variant["prompt"],
            n=2,  # 2 options per variant concept
            size="1792x1024",  # 16:9 thumbnail ratio
            quality="high",
        )
        results.append({
            "name": variant["name"],
            "images": [img.url for img in result.data],
        })
    return {"video_id": test["video_id"], "variants": results}

# Process all tests in parallel
with concurrent.futures.ThreadPoolExecutor(max_workers=6) as executor:
    all_results = list(executor.map(generate_thumbnail_variants, thumbnail_tests))

for test in all_results:
    print(f"Video: {test['video_id']}")
    for v in test["variants"]:
        print(f"  {v['name']}: {len(v['images'])} thumbnails ready for A/B test")
# Push variants to your thumbnail testing platform