GPT-image-2 实战：AI 预测未来宝宝 — 看看你们的孩子长什么样

from openai import OpenAI

client = OpenAI(
    api_key="your-crazyrouter-api-key",
    base_url="https://crazyrouter.com/v1"
)

# 描述父母特征
parent_a = {
    "ethnicity": "East Asian",
    "features": "dark brown eyes, straight black hair, round face, small nose"
}

parent_b = {
    "ethnicity": "Northern European",
    "features": "blue eyes, wavy light brown hair, oval face, high nose bridge"
}

baby_prompt = f"""
A professional portrait photo of an adorable 1-year-old baby.
The baby is a natural blend of two parents:
- Parent A: {parent_a['ethnicity']} — {parent_a['features']}
- Parent B: {parent_b['ethnicity']} — {parent_b['features']}

The baby should have a natural, realistic blend of both parents' features.
Possible traits: light brown eyes, slightly wavy dark brown hair, 
medium nose bridge, mixed facial structure.

Setting: natural soft window light, clean white/cream background.
Style: professional baby portrait photography, 85mm lens, 
shallow depth of field, warm tones.
The baby is smiling gently, wearing a simple white onesie.

Photorealistic. No text, no watermark.
"""

response = client.images.generate(
    model="gpt-image-2",
    prompt=baby_prompt,
    size="1024x1024",
    n=1
)

print(f"宝宝预测: {response.data[0].url}")

curl -X POST https://crazyrouter.com/v1/images/generations \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer your-crazyrouter-api-key" \
  -d '{
    "model": "gpt-image-2",
    "prompt": "Professional portrait photo of an adorable 1-year-old baby. Natural blend of East Asian and Northern European features: light brown eyes, slightly wavy dark brown hair, medium nose bridge. Soft window light, cream background. Baby portrait photography, 85mm lens, shallow depth of field, warm tones. Baby smiling in white onesie. Photorealistic. No text.",
    "size": "1024x1024",
    "n": 1
  }'

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "your-crazyrouter-api-key",
  baseURL: "https://crazyrouter.com/v1",
});

const response = await client.images.generate({
  model: "gpt-image-2",
  prompt: `Professional portrait of an adorable 1-year-old baby.
Natural blend of East Asian and Northern European features.
Light brown eyes, slightly wavy dark brown hair, medium nose bridge.
Soft window light, cream background, baby portrait photography.
85mm lens, shallow depth of field, warm tones.
Baby smiling in white onesie. Photorealistic. No text.`,
  size: "1024x1024",
  n: 1,
});

console.log(response.data[0].url);

父方：圆脸，单眼皮，直黑发，小鼻子
母方：鹅蛋脸，双眼皮，深棕发，高颧骨
宝宝特征：杏仁眼，柔软黑发，五官均衡

父方：深棕色眼睛，直黑发，圆脸
母方：深棕色眼睛，卷曲黑发，轮廓分明，丰满嘴唇
宝宝特征：温暖棕色肤色，波浪黑发，大眼睛

父方：蓝眼睛，金发，白皙皮肤，窄脸
母方：棕色眼睛，深色波浪发，橄榄色皮肤，丰满嘴唇
宝宝特征：榛色眼睛，浅棕波浪发，温暖肤色

父方：深棕色眼睛，黑发，棕色皮肤，浓眉
母方：绿色眼睛，红棕发，白皙皮肤，雀斑
宝宝特征：浅棕色眼睛，深棕波浪发，中等肤色

ages = [
    ("新生儿", "a sleeping newborn baby wrapped in a white blanket"),
    ("1岁", "a smiling 1-year-old baby sitting up"),
    ("3岁", "a cheerful 3-year-old toddler playing"),
    ("5岁", "a happy 5-year-old child laughing"),
]

features = "blend of East Asian and European features, light brown eyes, wavy dark hair"

for age, description in ages:
    response = client.images.generate(
        model="gpt-image-2",
        prompt=f"Professional portrait of {description}. {features}. "
               f"Natural soft lighting, clean background. Photorealistic. No text.",
        size="1024x1024",
        n=1
    )
    print(f"{age}: {response.data[0].url}")