异步生成图像

curl --request POST \
  --url https://aitoearn.cn/api/ai/image/generate/async \
  --header 'Content-Type: application/json' \
  --header 'X-Api-Key: <api-key>' \
  --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/image/generate/async"

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

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'X-Api-Key': '<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/image/generate/async', 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/image/generate/async"

	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("X-Api-Key", "<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))

}