图片生成模型

curl --request POST \
  --url https://alb.neural4d.com:3000/api/generateModelWithImage \
  --header 'Authorization: Bearer <token>' \
  --form 'image=@/path/to/file' \
  --form 'modelCount=1' \
  --form 'disablePbr=0' \
  --form 'onlyGenerateMesh=false' \
  --form 'mesh_quality=high' \
  --form 'faceNum=1000000'

import requests

response = requests.request(
    "POST",
    "https://alb.neural4d.com:3000/api/generateModelWithImage",
    headers={
    "Authorization": "Bearer <token>",
    },
    files={"image": open('/path/to/file', 'rb')},
)
print(response.json())

const response = await fetch("https://alb.neural4d.com:3000/api/generateModelWithImage", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <token>"
  },
  body: (() => { const form = new FormData(); form.append("file", fileInput.files[0]); return form; })(),
});
const data = await response.json();
console.log(data);

const response: Response = await fetch("https://alb.neural4d.com:3000/api/generateModelWithImage", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <token>"
  },
  body: (() => { const form = new FormData(); form.append("file", fileInput.files[0]); return form; })(),
});
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/generateModelWithImage"))
    .header("Authorization", "Bearer <token>")
    .method("POST", HttpRequest.BodyPublishers.noBody())
    .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 := nil
req, _ := http.NewRequest("POST", "https://alb.neural4d.com:3000/api/generateModelWithImage", payload)
req.Header.Set("Authorization", "Bearer <token>")
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/generateModelWithImage")
request = Net::HTTP::Post.new(uri)
request["Authorization"] = "Bearer <token>"

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

<?php

$ch = curl_init("https://alb.neural4d.com:3000/api/generateModelWithImage");
curl_setopt_array($ch, [
    CURLOPT_CUSTOMREQUEST => "POST",
    CURLOPT_RETURNTRANSFER => true,
    CURLOPT_HTTPHEADER => ["Authorization: Bearer <token>"],
]);
$response = curl_exec($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/generateModelWithImage");
request.Headers.TryAddWithoutValidation("Authorization", "Bearer <token>");
using var response = await client.SendAsync(request);
Console.WriteLine(await response.Content.ReadAsStringAsync());

{
  "type": "sys",
  "message": "Generating",
  "uuids": [
    "f47ac10b-58cc-4372-a567-0e02b2c3d479"
  ],
  "uploadedImageUrl": "https://s3.neural4d.com/example.png?sign=xxx.png",
  "generationConfig": {
    "faceNum": {
      "default": 1000000,
      "min": 500000,
      "max": 1000000,
      "value": 1000000
    }
  }
}

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

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

{
  "error": "Internal server error"
}