curl --request POST \
  --url https://xxx.wengaocloud.com/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "gpt-image-2",
  "prompt": "一张极简风格的云端工作站插画"
}
'

import requests

url = "https://xxx.wengaocloud.com/v1/images/generations"

payload = {
    "model": "gpt-image-2",
    "prompt": "一张极简风格的云端工作站插画"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({model: 'gpt-image-2', prompt: '一张极简风格的云端工作站插画'})
};

fetch('https://xxx.wengaocloud.com/v1/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://xxx.wengaocloud.com/v1/images/generations"

	payload := strings.NewReader("{\n  \"model\": \"gpt-image-2\",\n  \"prompt\": \"一张极简风格的云端工作站插画\"\n}")

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

	req.Header.Add("Authorization", "Bearer <token>")
	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))

}

{
  "created": 123,
  "data": [
    {
      "url": "<string>",
      "b64_json": "<string>"
    }
  ]
}

{
  "error": {
    "type": "invalid_request_error",
    "code": "model_endpoint_mismatch",
    "message": "该模型不支持当前 endpoint。"
  }
}

{
  "error": {
    "type": "invalid_request_error",
    "code": "model_endpoint_mismatch",
    "message": "该模型不支持当前 endpoint。"
  }
}