OpenAI 图像生成

curl --request POST \
  --url https://aitoearn.cn/api/ai/images/generations \
  --header 'Authorization: <api-key>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "prompt": "A cute orange cat sitting by a window, soft natural light",
  "model": "gpt-image-2"
}
'

import requests

url = "https://aitoearn.cn/api/ai/images/generations"

payload = {
    "prompt": "A cute orange cat sitting by a window, soft natural light",
    "model": "gpt-image-2"
}
headers = {
    "Authorization": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    prompt: 'A cute orange cat sitting by a window, soft natural light',
    model: 'gpt-image-2'
  })
};

fetch('https://aitoearn.cn/api/ai/images/generations', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://aitoearn.cn/api/ai/images/generations"

	payload := strings.NewReader("{\n  \"prompt\": \"A cute orange cat sitting by a window, soft natural light\",\n  \"model\": \"gpt-image-2\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "<api-key>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

{
  "data": [
    {
      "url": "string"
    }
  ],
  "created": "number",
  "quality": "string",
  "size": "string",
  "usage": {
    "input_tokens": "number",
    "output_tokens": "number",
    "total_tokens": "number",
    "input_tokens_details": {
      "text_tokens": "number",
      "image_tokens": "number"
    },
    "output_tokens_details": {
      "text_tokens": "number",
      "image_tokens": "number"
    }
  }
}