DALL-E is dying. Your code doesn't have to change.

from openai import OpenAI

# Before: DALL-E via OpenAI
# client = OpenAI(api_key="sk-...")

# After: CreativeAI — change 2 lines, keep everything else
client = OpenAI(
    api_key="your-creativeai-key",
    base_url="https://api.creativeai.run/v1",
)

# Your existing DALL-E code works as-is
result = client.images.generate(
    model="gpt-image-1",  # or seedream-3, dall-e-3
    prompt="Product photo on white background",
    size="1024x1024",
    n=1,
)

print(result.data[0].url)

import asyncio
from openai import AsyncOpenAI

client = AsyncOpenAI(
    api_key="your-creativeai-key",
    base_url="https://api.creativeai.run/v1",
)

# Your product catalog — same DALL-E code, now at scale
catalog = [
    {"sku": "SHOE-001", "prompt": "White sneaker on marble surface, studio lighting, e-commerce"},
    {"sku": "SHOE-002", "prompt": "Running shoe on grass field, natural light, lifestyle"},
    {"sku": "BAG-001",  "prompt": "Leather tote on white background, product photo"},
    {"sku": "BAG-002",  "prompt": "Canvas backpack in outdoor setting, adventure lifestyle"},
]

async def generate_product_image(item: dict) -> dict:
    result = await client.images.generate(
        model="gpt-image-1",   # or seedream-3 for style variety
        prompt=item["prompt"],
        size="1024x1024",
        n=1,
    )
    return {"sku": item["sku"], "url": result.data[0].url}

async def batch_catalog():
    tasks = [generate_product_image(item) for item in catalog]
    results = await asyncio.gather(*tasks)
    for r in results:
        print(f'{r["sku"]}: {r["url"]}')

asyncio.run(batch_catalog())
# All 4 images generate in parallel — same wall-clock time as 1