GPT Image 2 API

export LAOZHANG_API_KEY="sk-你的令牌"
export BASE_URL="https://api.laozhang.ai/v1"

curl "$BASE_URL/images/generations" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $LAOZHANG_API_KEY" \
  -d '{
    "model": "gpt-image-2",
    "prompt": "生成一张白色陶瓷马克杯放在灰色桌面上的产品图，柔和自然光，简洁背景"
  }'

curl "$BASE_URL/images/generations" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $LAOZHANG_API_KEY" \
  -d '{
    "model": "gpt-image-2-vip",
    "prompt": "生成一张白色陶瓷马克杯放在灰色桌面上的产品图，柔和自然光，简洁背景",
    "size": "2048x2048",
    "quality": "high"
  }'

curl "$BASE_URL/images/generations" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $LAOZHANG_API_KEY" \
  -d '{
    "model": "gpt-image-2",
    "prompt": "生成一张白色陶瓷马克杯放在灰色桌面上的产品图，柔和自然光，简洁背景",
    "size": "1536x1024",
    "quality": "high"
  }'

curl "$BASE_URL/images/edits" \
  -H "Authorization: Bearer $LAOZHANG_API_KEY" \
  -F "model=gpt-image-2" \
  -F "prompt=使用提供的图片作为源图。保留主体、构图和文字，只把杯身贴纸改成红色，并给杯口加一条很细的金色边。" \
  -F "image=@source.png"

curl "$BASE_URL/images/edits" \
  -H "Authorization: Bearer $LAOZHANG_API_KEY" \
  -F "model=gpt-image-2-vip" \
  -F "prompt=使用提供的图片作为源图。保留主体、构图和文字，只把贴纸改成蓝色。" \
  -F "image=@source.png"

curl "$BASE_URL/images/edits" \
  -H "Authorization: Bearer $LAOZHANG_API_KEY" \
  -F "model=gpt-image-2" \
  -F "prompt=使用提供的图片作为源图。保留主体、构图和文字，只把贴纸改成绿色。" \
  -F "image=@source.png" \
  -F "size=1024x1024" \
  -F "quality=high"

import base64

value = response["data"][0]["b64_json"]
if value.startswith("data:"):
    value = value.split(",", 1)[1]

value += "=" * ((4 - len(value) % 4) % 4)

with open("output.png", "wb") as f:
    f.write(base64.b64decode(value))

image_url = response["data"][0]["url"]