图片生成 Q 版模型

curl --request POST \
  --url https://alb.neural4d.com:3000/api/createCuteModelsFromImages \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: multipart/form-data' \
  --form 'images=(binary)' \
  --form styleType=Pixel-Style \
  --form images.items='@example-file'

const form = new FormData();
form.append('images', '(binary)');
form.append('styleType', 'Pixel-Style');
form.append('images.items', '{
  "fileName": "example-file"
}');

const options = {method: 'POST', headers: {Authorization: 'Bearer <token>'}};

options.body = form;

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

import requests

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

files = { "images.items": ("example-file", open("example-file", "rb")) }
payload = {
    "images": "(binary)",
    "styleType": "Pixel-Style"
}
headers = {"Authorization": "Bearer <token>"}

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

print(response.text)

import fs from 'fs';

const formData = new FormData();
formData.append('images', '(binary)');
formData.append('styleType', 'Pixel-Style');
formData.append('images.items', await new Response(fs.createReadStream('example-file')).blob());

const url = 'https://alb.neural4d.com:3000/api/createCuteModelsFromImages';
const options = {method: 'POST', headers: {Authorization: 'Bearer <token>'}, body: formData};

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

const form = new FormData();
form.append('images', '(binary)');
form.append('styleType', 'Pixel-Style');
form.append('images.items', '{
  "fileName": "example-file"
}');

const options = {method: 'POST', headers: {Authorization: 'Bearer <token>'}};

options.body = form;

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

	payload := strings.NewReader("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"images\"\r\n\r\n(binary)\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"styleType\"\r\n\r\nPixel-Style\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"images.items\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n  \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001--")

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

	req.Header.Add("Authorization", "Bearer <token>")

	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/createCuteModelsFromImages")
  .header("Authorization", "Bearer <token>")
  .body("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"images\"\r\n\r\n(binary)\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"styleType\"\r\n\r\nPixel-Style\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"images.items\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n  \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001--")
  .asString();

using RestSharp;


var options = new RestClientOptions("https://alb.neural4d.com:3000/api/createCuteModelsFromImages");
var client = new RestClient(options);
var request = new RestRequest("");
request.AlwaysMultipartFormData = true;
request.AddHeader("Authorization", "Bearer <token>");
request.AddParameter("images", "(binary)");
request.AddParameter("styleType", "Pixel-Style");
request.AddFile("images.items", "example-file");
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/createCuteModelsFromImages",
  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=\"images\"\r\n\r\n(binary)\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"styleType\"\r\n\r\nPixel-Style\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"images.items\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n  \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001--",
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>"
  ],
]);

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

curl_close($curl);

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

{
  "success": true,
  "totalFiles": 1,
  "successCount": 1,
  "failureCount": 0,
  "results": [
    {
      "uuids": [
        "31f15c88-48ae"
      ],
      "success": true,
      "message": "Task created and model generation started, please retrieve model after a moment"
    }
  ],
  "failures": [],
  "message": "Processed 1 files: 1 succeeded, 0 failed"
}