GPT-image-2 实战：AI 看手相 — 一张手掌照片生成专业手相分析图

pip install openai

from openai import OpenAI

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

prompt = """
Based on a palm photo, create a professional palm reading analysis infographic.
Style: clean, modern, aesthetic, dark background with golden/warm accent colors.

Include labeled annotations for the major palm lines:
- Life Line (生命线)
- Heart Line (感情线)
- Head Line (智慧线)
- Fate Line (命运线)
- Sun Line (太阳线)

Add brief personality and fortune interpretations next to each line.
Bottom section: summary cards for Strengths, Career, Love, Fortune.
The overall design should look like a premium palm reading consultation report.
"""

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

print(f"图片地址: {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": "Create a professional palm reading analysis infographic with dark background and golden accents. Label the major palm lines: Life Line, Heart Line, Head Line, Fate Line, Sun Line. Add personality and fortune interpretations. Bottom section with summary cards. Premium consultation report style.",
    "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: `Create a professional palm reading analysis infographic.
Dark background with golden accent colors.
Label major palm lines: Life Line, Heart Line, Head Line, Fate Line, Sun Line.
Add personality and fortune interpretations next to each line.
Bottom section with summary cards for Strengths, Career, Love, Fortune.
Premium consultation report style.`,
  size: "1024x1024",
  n: 1,
});

console.log("图片地址:", response.data[0].url);