curl --request POST \
  --url https://open.skills.video/api/v1/generation/openai/gpt-image-1 \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "prompt": "<string>"
}
'

import requests

url = "https://open.skills.video/api/v1/generation/openai/gpt-image-1"

payload = { "prompt": "<string>" }
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({prompt: '<string>'})
};

fetch('https://open.skills.video/api/v1/generation/openai/gpt-image-1', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://open.skills.video/api/v1/generation/openai/gpt-image-1",
  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' => '<string>'
  ]),
  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://open.skills.video/api/v1/generation/openai/gpt-image-1"

	payload := strings.NewReader("{\n  \"prompt\": \"<string>\"\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://open.skills.video/api/v1/generation/openai/gpt-image-1")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"prompt\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://open.skills.video/api/v1/generation/openai/gpt-image-1")

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  \"prompt\": \"<string>\"\n}"

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

import Foundation

let parameters = ["prompt": "<string>"] as [String : Any?]

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

let url = URL(string: "https://open.skills.video/api/v1/generation/openai/gpt-image-1")!
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))

{
  "id": "gen_123",
  "status": "IN_QUEUE",
  "input": {
    "prompt": "a cat",
    "aspect_ratio": "1:1",
    "resolution": "1024x1024",
    "n": 1
  },
  "usage": {
    "total": 20,
    "subscription": 20,
    "permanent": 0
  }
}

{
  "error": "IMAGE_GENERATION_INVALID_INPUT",
  "code": "IMAGE_GENERATION_INVALID_INPUT",
  "message": "'prompt' parameter is required"
}

{
  "error": "UNAUTHORIZED",
  "code": "UNAUTHORIZED",
  "message": "Unauthorized"
}

{
  "error": "INSUFFICIENT_CREDITS",
  "code": "IMAGE_GENERATION_INSUFFICIENT_CREDITS",
  "message": "Insufficient credits for this generation."
}

{
  "error": "WORKSPACE_FORBIDDEN",
  "code": "WORKSPACE_FORBIDDEN",
  "message": "You do not have access to this workspace."
}

{
  "error": "TEMPLATE_NOT_FOUND",
  "code": "TEMPLATE_NOT_FOUND",
  "message": "Template not found."
}

{
  "error": "IMAGE_GENERATION_CONTENT_REJECTED",
  "code": "IMAGE_GENERATION_CONTENT_REJECTED",
  "message": "Request content was rejected by the moderation policy."
}

{
  "error": "IMAGE_GENERATION_RATE_LIMITED",
  "code": "IMAGE_GENERATION_RATE_LIMITED",
  "message": "Rate limit exceeded. Please retry later."
}

{
  "error": "IMAGE_GENERATION_FAILED",
  "code": "IMAGE_GENERATION_FAILED",
  "message": "Generation failed."
}

{
  "error": "IMAGE_GENERATION_FAILED",
  "code": "IMAGE_GENERATION_FAILED",
  "message": "Generation failed."
}

{
  "error": "IMAGE_GENERATION_PROVIDER_UNAVAILABLE",
  "code": "IMAGE_GENERATION_PROVIDER_UNAVAILABLE",
  "message": "Upstream generation provider is temporarily unavailable."
}

{
  "error": "IMAGE_GENERATION_TIMEOUT",
  "code": "IMAGE_GENERATION_TIMEOUT",
  "message": "Generation timed out."
}