curl --request POST \
  --url https://api.maxapi.ai/ent/v2/reference2image \
  --header 'Authorization: <api-key>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "vidu-image",
  "reference_image_url": "https://example.com/reference.jpg",
  "prompt": "保持风格，生成新的图片"
}
'

import requests

url = "https://api.maxapi.ai/ent/v2/reference2image"

payload = {
    "model": "vidu-image",
    "reference_image_url": "https://example.com/reference.jpg",
    "prompt": "保持风格，生成新的图片"
}
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({
    model: 'vidu-image',
    reference_image_url: 'https://example.com/reference.jpg',
    prompt: '保持风格，生成新的图片'
  })
};

fetch('https://api.maxapi.ai/ent/v2/reference2image', 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://api.maxapi.ai/ent/v2/reference2image"

	payload := strings.NewReader("{\n  \"model\": \"vidu-image\",\n  \"reference_image_url\": \"https://example.com/reference.jpg\",\n  \"prompt\": \"保持风格，生成新的图片\"\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))

}

HttpResponse<String> response = Unirest.post("https://api.maxapi.ai/ent/v2/reference2image")
  .header("Authorization", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"vidu-image\",\n  \"reference_image_url\": \"https://example.com/reference.jpg\",\n  \"prompt\": \"保持风格，生成新的图片\"\n}")
  .asString();

{
  "task_id": "<string>",
  "state": "pending",
  "model": "<string>",
  "prompt": "<string>",
  "images": [
    "<string>"
  ],
  "duration": 123,
  "seed": 123,
  "resolution": "<string>",
  "bgm": true,
  "movement_amplitude": "<string>",
  "payload": "<string>",
  "off_peak": true,
  "credits": 123,
  "watermark": true,
  "created_at": "2023-11-07T05:31:56Z"
}