Generate model from text

curl --request POST \
  --url https://alb.neural4d.com:3000/api/generateModelWithText \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "prompt": "people",
  "modelCount": 1,
  "disablePbr": 0,
  "onlyGenerateMesh": false,
  "mesh_quality": "high",
  "faceNum": 1000000
}
'

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    prompt: 'people',
    modelCount: 1,
    disablePbr: 0,
    onlyGenerateMesh: false,
    mesh_quality: 'high',
    faceNum: 1000000
  })
};

fetch('https://alb.neural4d.com:3000/api/generateModelWithText', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

import requests

url = "https://alb.neural4d.com:3000/api/generateModelWithText"

payload = {
    "prompt": "people",
    "modelCount": 1,
    "disablePbr": 0,
    "onlyGenerateMesh": False,
    "mesh_quality": "high",
    "faceNum": 1000000
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const url = 'https://alb.neural4d.com:3000/api/generateModelWithText';
const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    prompt: 'people',
    modelCount: 1,
    disablePbr: 0,
    onlyGenerateMesh: false,
    mesh_quality: 'high',
    faceNum: 1000000
  })
};

fetch(url, options)
  .then(res => res.json())
  .then(json => console.log(json))
  .catch(err => console.error(err));

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    prompt: 'people',
    modelCount: 1,
    disablePbr: 0,
    onlyGenerateMesh: false,
    mesh_quality: 'high',
    faceNum: 1000000
  })
};

fetch('https://alb.neural4d.com:3000/api/generateModelWithText', 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://alb.neural4d.com:3000/api/generateModelWithText"

	payload := strings.NewReader("{\n  \"prompt\": \"people\",\n  \"modelCount\": 1,\n  \"disablePbr\": 0,\n  \"onlyGenerateMesh\": false,\n  \"mesh_quality\": \"high\",\n  \"faceNum\": 1000000\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))

}

HttpResponse<String> response = Unirest.post("https://alb.neural4d.com:3000/api/generateModelWithText")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"prompt\": \"people\",\n  \"modelCount\": 1,\n  \"disablePbr\": 0,\n  \"onlyGenerateMesh\": false,\n  \"mesh_quality\": \"high\",\n  \"faceNum\": 1000000\n}")
  .asString();

using RestSharp;


var options = new RestClientOptions("https://alb.neural4d.com:3000/api/generateModelWithText");
var client = new RestClient(options);
var request = new RestRequest("");
request.AddHeader("Authorization", "Bearer <token>");
request.AddJsonBody("{\n  \"prompt\": \"people\",\n  \"modelCount\": 1,\n  \"disablePbr\": 0,\n  \"onlyGenerateMesh\": false,\n  \"mesh_quality\": \"high\",\n  \"faceNum\": 1000000\n}", false);
var response = await client.PostAsync(request);

Console.WriteLine("{0}", response.Content);

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_PORT => "3000",
  CURLOPT_URL => "https://alb.neural4d.com:3000/api/generateModelWithText",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'prompt' => 'people',
    'modelCount' => 1,
    'disablePbr' => 0,
    'onlyGenerateMesh' => false,
    'mesh_quality' => 'high',
    'faceNum' => 1000000
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

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

curl_close($curl);

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