curl --request POST \
  --url https://api.tensormaster.com/v1/tlimages/proimage \
  --header 'Authorization: <api-key>' \
  --header 'Content-Type: multipart/form-data' \
  --form model=gpt-image-2 \
  --form 'prompt=在简洁的影棚背景中生成一张高品质商品图' \
  --form size=16:9 \
  --form n=1

import requests

url = "https://api.tensormaster.com/v1/tlimages/proimage"

payload = "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\ngpt-image-2\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt\"\r\n\r\n在简洁的影棚背景中生成一张高品质商品图\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"size\"\r\n\r\n16:9\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"n\"\r\n\r\n1\r\n-----011000010111000001101001--"
headers = {
    "Authorization": "<api-key>",
    "Content-Type": "multipart/form-data"
}

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

print(response.text)

const form = new FormData();
form.append('model', 'gpt-image-2');
form.append('prompt', '在简洁的影棚背景中生成一张高品质商品图');
form.append('size', '16:9');
form.append('n', '1');

const options = {method: 'POST', headers: {Authorization: '<api-key>'}};

options.body = form;

fetch('https://api.tensormaster.com/v1/tlimages/proimage', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.tensormaster.com/v1/tlimages/proimage",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\ngpt-image-2\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt\"\r\n\r\n在简洁的影棚背景中生成一张高品质商品图\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"size\"\r\n\r\n16:9\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"n\"\r\n\r\n1\r\n-----011000010111000001101001--",
  CURLOPT_HTTPHEADER => [
    "Authorization: <api-key>",
    "Content-Type: multipart/form-data"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

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

func main() {

	url := "https://api.tensormaster.com/v1/tlimages/proimage"

	payload := strings.NewReader("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\ngpt-image-2\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt\"\r\n\r\n在简洁的影棚背景中生成一张高品质商品图\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"size\"\r\n\r\n16:9\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"n\"\r\n\r\n1\r\n-----011000010111000001101001--")

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

	req.Header.Add("Authorization", "<api-key>")

	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.tensormaster.com/v1/tlimages/proimage")
  .header("Authorization", "<api-key>")
  .body("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\ngpt-image-2\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt\"\r\n\r\n在简洁的影棚背景中生成一张高品质商品图\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"size\"\r\n\r\n16:9\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"n\"\r\n\r\n1\r\n-----011000010111000001101001--")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.tensormaster.com/v1/tlimages/proimage")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = '<api-key>'
request.body = "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"model\"\r\n\r\ngpt-image-2\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"prompt\"\r\n\r\n在简洁的影棚背景中生成一张高品质商品图\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"size\"\r\n\r\n16:9\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"n\"\r\n\r\n1\r\n-----011000010111000001101001--"

response = http.request(request)
puts response.read_body

{
  "code": 1000,
  "msg": "任务创建成功",
  "data": {
    "taskid": "abcd_1234567890abcdef"
  }
}