Генерация изображения

curl --request POST \
  --url https://api.nixai.ru/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "gpt-image-2",
  "prompt": "Рыжий кот в космическом скафандре на фоне звёзд",
  "size": "1024x1024",
  "response_format": "b64_json"
}
'

import requests

url = "https://api.nixai.ru/v1/images/generations"

payload = {
    "model": "gpt-image-2",
    "prompt": "Рыжий кот в космическом скафандре на фоне звёзд",
    "size": "1024x1024",
    "response_format": "b64_json"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: 'gpt-image-2',
    prompt: 'Рыжий кот в космическом скафандре на фоне звёзд',
    size: '1024x1024',
    response_format: 'b64_json'
  })
};

fetch('https://api.nixai.ru/v1/images/generations', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

const url = 'https://api.nixai.ru/v1/images/generations';
const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: 'gpt-image-2',
    prompt: 'Рыжий кот в космическом скафандре на фоне звёзд',
    size: '1024x1024',
    response_format: 'b64_json'
  })
};

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

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.nixai.ru/v1/images/generations",
  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([
    'model' => 'gpt-image-2',
    'prompt' => 'Рыжий кот в космическом скафандре на фоне звёзд',
    'size' => '1024x1024',
    'response_format' => 'b64_json'
  ]),
  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;
}

package main

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

func main() {

	url := "https://api.nixai.ru/v1/images/generations"

	payload := strings.NewReader("{\n  \"model\": \"gpt-image-2\",\n  \"prompt\": \"Рыжий кот в космическом скафандре на фоне звёзд\",\n  \"size\": \"1024x1024\",\n  \"response_format\": \"b64_json\"\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://api.nixai.ru/v1/images/generations")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"gpt-image-2\",\n  \"prompt\": \"Рыжий кот в космическом скафандре на фоне звёзд\",\n  \"size\": \"1024x1024\",\n  \"response_format\": \"b64_json\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.nixai.ru/v1/images/generations")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"model\": \"gpt-image-2\",\n  \"prompt\": \"Рыжий кот в космическом скафандре на фоне звёзд\",\n  \"size\": \"1024x1024\",\n  \"response_format\": \"b64_json\"\n}"

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

$headers=@{}
$headers.Add("Authorization", "Bearer <token>")
$headers.Add("Content-Type", "application/json")
$response = Invoke-WebRequest -Uri 'https://api.nixai.ru/v1/images/generations' -Method POST -Headers $headers -ContentType 'application/json' -Body '{
  "model": "gpt-image-2",
  "prompt": "Рыжий кот в космическом скафандре на фоне звёзд",
  "size": "1024x1024",
  "response_format": "b64_json"
}'

import Foundation

let parameters = [
  "model": "gpt-image-2",
  "prompt": "Рыжий кот в космическом скафандре на фоне звёзд",
  "size": "1024x1024",
  "response_format": "b64_json"
] as [String : Any?]

let postData = try JSONSerialization.data(withJSONObject: parameters, options: [])

let url = URL(string: "https://api.nixai.ru/v1/images/generations")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.timeoutInterval = 10
request.allHTTPHeaderFields = [
  "Authorization": "Bearer <token>",
  "Content-Type": "application/json"
]
request.httpBody = postData

let (data, _) = try await URLSession.shared.data(for: request)
print(String(decoding: data, as: UTF8.self))

using RestSharp;


var options = new RestClientOptions("https://api.nixai.ru/v1/images/generations");
var client = new RestClient(options);
var request = new RestRequest("");
request.AddHeader("Authorization", "Bearer <token>");
request.AddJsonBody("{\n  \"model\": \"gpt-image-2\",\n  \"prompt\": \"Рыжий кот в космическом скафандре на фоне звёзд\",\n  \"size\": \"1024x1024\",\n  \"response_format\": \"b64_json\"\n}", false);
var response = await client.PostAsync(request);

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

using RestSharp;


var options = new RestClientOptions("https://api.nixai.ru/v1/images/generations");
var client = new RestClient(options);
var request = new RestRequest("");
request.AddHeader("Authorization", "Bearer <token>");
request.AddJsonBody("{\n  \"model\": \"gpt-image-2\",\n  \"prompt\": \"Рыжий кот в космическом скафандре на фоне звёзд\",\n  \"size\": \"1024x1024\",\n  \"response_format\": \"b64_json\"\n}", false);
var response = await client.PostAsync(request);

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

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: 'gpt-image-2',
    prompt: 'Рыжий кот в космическом скафандре на фоне звёзд',
    size: '1024x1024',
    response_format: 'b64_json'
  })
};

fetch('https://api.nixai.ru/v1/images/generations', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

CURL *hnd = curl_easy_init();

curl_easy_setopt(hnd, CURLOPT_CUSTOMREQUEST, "POST");
curl_easy_setopt(hnd, CURLOPT_WRITEDATA, stdout);
curl_easy_setopt(hnd, CURLOPT_URL, "https://api.nixai.ru/v1/images/generations");

struct curl_slist *headers = NULL;
headers = curl_slist_append(headers, "Authorization: Bearer <token>");
headers = curl_slist_append(headers, "Content-Type: application/json");
curl_easy_setopt(hnd, CURLOPT_HTTPHEADER, headers);

curl_easy_setopt(hnd, CURLOPT_POSTFIELDS, "{\n  \"model\": \"gpt-image-2\",\n  \"prompt\": \"Рыжий кот в космическом скафандре на фоне звёзд\",\n  \"size\": \"1024x1024\",\n  \"response_format\": \"b64_json\"\n}");

CURLcode ret = curl_easy_perform(hnd);

CURL *hnd = curl_easy_init();

curl_easy_setopt(hnd, CURLOPT_CUSTOMREQUEST, "POST");
curl_easy_setopt(hnd, CURLOPT_WRITEDATA, stdout);
curl_easy_setopt(hnd, CURLOPT_URL, "https://api.nixai.ru/v1/images/generations");

struct curl_slist *headers = NULL;
headers = curl_slist_append(headers, "Authorization: Bearer <token>");
headers = curl_slist_append(headers, "Content-Type: application/json");
curl_easy_setopt(hnd, CURLOPT_HTTPHEADER, headers);

curl_easy_setopt(hnd, CURLOPT_POSTFIELDS, "{\n  \"model\": \"gpt-image-2\",\n  \"prompt\": \"Рыжий кот в космическом скафандре на фоне звёзд\",\n  \"size\": \"1024x1024\",\n  \"response_format\": \"b64_json\"\n}");

CURLcode ret = curl_easy_perform(hnd);

val client = OkHttpClient()

val mediaType = MediaType.parse("application/json")
val body = RequestBody.create(mediaType, "{\n  \"model\": \"gpt-image-2\",\n  \"prompt\": \"Рыжий кот в космическом скафандре на фоне звёзд\",\n  \"size\": \"1024x1024\",\n  \"response_format\": \"b64_json\"\n}")
val request = Request.Builder()
  .url("https://api.nixai.ru/v1/images/generations")
  .post(body)
  .addHeader("Authorization", "Bearer <token>")
  .addHeader("Content-Type", "application/json")
  .build()

val response = client.newCall(request).execute()

false

false

{
  "data": [
    {
      "url": "https://cdn.nixai.ru/images/db242923.png",
      "b64_json": "base64"
    }
  ]
}