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
}
'

import requests

response = requests.request(
    "POST",
    "https://alb.neural4d.com:3000/api/generateModelWithText",
    headers={
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json",
    },
    json={
      "prompt": "people",
      "modelCount": 1,
      "disablePbr": 0,
      "onlyGenerateMesh": false,
      "mesh_quality": "high",
      "faceNum": 1000000
    },
)
print(response.json())

const response = await fetch("https://alb.neural4d.com:3000/api/generateModelWithText", {
  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
  }),
});
const data = await response.json();
console.log(data);

const response: Response = await fetch("https://alb.neural4d.com:3000/api/generateModelWithText", {
  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
  }),
});
const data = await response.json();
console.log(data);

import java.net.URI;
import java.net.http.*;

HttpRequest request = HttpRequest.newBuilder()
    .uri(URI.create("https://alb.neural4d.com:3000/api/generateModelWithText"))
    .header("Authorization", "Bearer <token>")
    .header("Content-Type", "application/json")
    .method("POST", HttpRequest.BodyPublishers.ofString("{\n      \"prompt\": \"people\",\n      \"modelCount\": 1,\n      \"disablePbr\": 0,\n      \"onlyGenerateMesh\": false,\n      \"mesh_quality\": \"high\",\n      \"faceNum\": 1000000\n    }"))
    .build();
HttpResponse<String> response = HttpClient.newHttpClient().send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());

package main

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

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", "https://alb.neural4d.com:3000/api/generateModelWithText", payload)
req.Header.Set("Authorization", "Bearer <token>")
req.Header.Set("Content-Type", "application/json")
resp, _ := http.DefaultClient.Do(req)
defer resp.Body.Close()
bodyBytes, _ := io.ReadAll(resp.Body)
fmt.Println(string(bodyBytes))

require "net/http"
require "json"

uri = URI("https://alb.neural4d.com:3000/api/generateModelWithText")
request = Net::HTTP::Post.new(uri)
request["Authorization"] = "Bearer <token>"
request["Content-Type"] = "application/json"
request.body = {
  "prompt": "people",
  "modelCount": 1,
  "disablePbr": 0,
  "onlyGenerateMesh": false,
  "mesh_quality": "high",
  "faceNum": 1000000
}.to_json

response = Net::HTTP.start(uri.hostname, uri.port, use_ssl: uri.scheme == "https") { |http| http.request(request) }
puts response.body

<?php

$ch = curl_init("https://alb.neural4d.com:3000/api/generateModelWithText");
curl_setopt_array($ch, [
    CURLOPT_CUSTOMREQUEST => "POST",
    CURLOPT_RETURNTRANSFER => true,
    CURLOPT_HTTPHEADER => ["Authorization: Bearer <token>", "Content-Type: application/json"],
    CURLOPT_POSTFIELDS => "{\n  \"prompt\": \"people\",\n  \"modelCount\": 1,\n  \"disablePbr\": 0,\n  \"onlyGenerateMesh\": false,\n  \"mesh_quality\": \"high\",\n  \"faceNum\": 1000000\n}",
]);
$response = curl_exec($ch);
curl_close($ch);
echo $response;

using System.Net.Http;
using System.Text;

using var client = new HttpClient();
using var request = new HttpRequestMessage(HttpMethod.Post, "https://alb.neural4d.com:3000/api/generateModelWithText");
request.Headers.TryAddWithoutValidation("Authorization", "Bearer <token>");
request.Headers.TryAddWithoutValidation("Content-Type", "application/json");
request.Content = new StringContent("{\n  \"prompt\": \"people\",\n  \"modelCount\": 1,\n  \"disablePbr\": 0,\n  \"onlyGenerateMesh\": false,\n  \"mesh_quality\": \"high\",\n  \"faceNum\": 1000000\n}", Encoding.UTF8, "application/json");
using var response = await client.SendAsync(request);
Console.WriteLine(await response.Content.ReadAsStringAsync());

{
  "type": "sys",
  "message": "Generating",
  "uuids": [
    "f47ac10b-58cc-4372-a567-0e02b2c3d479"
  ],
  "generationConfig": {
    "faceNum": {
      "default": 1000000,
      "min": 500000,
      "max": 1000000,
      "value": 1000000
    }
  },
  "uploadedImageUrl": null
}

{
  "limitType": 3,
  "message": "Please check the prompt."
}

{
  "errors": [
    {
      "type": "field",
      "value": 5,
      "msg": "modelCount must be an integer between 1 and 4 (inclusive)",
      "path": "modelCount",
      "location": "body"
    }
  ]
}

"Unauthorized"

{
  "message": "Insufficient points or account restricted"
}

{
  "message": "Generation is not available for the current account"
}

{
  "message": "Too many requests from this user, please try again after a minute."
}

{
  "error": "Internal server error"
}