GPT-Image Generation [Unofficial]

cURL

curl --request POST \
  --url https://api.ttapi.io/openai/gpt/generations \
  --header 'Content-Type: application/json' \
  --header 'TT-API-KEY: <api-key>' \
  --data '
{
  "prompt": "<string>",
  "model": "gpt-image-2",
  "referImages": [
    "https://cdn.ttapi.io/xxx1.png",
    "https://cdn.ttapi.io/xxx2.png"
  ],
  "aspect_ratio": "1:1",
  "size": "1024x1024",
  "hookUrl": "<string>"
}
'

import requests

url = "https://api.ttapi.io/openai/gpt/generations"

payload = {
    "prompt": "<string>",
    "model": "gpt-image-2",
    "referImages": ["https://cdn.ttapi.io/xxx1.png", "https://cdn.ttapi.io/xxx2.png"],
    "aspect_ratio": "1:1",
    "size": "1024x1024",
    "hookUrl": "<string>"
}
headers = {
    "TT-API-KEY": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'TT-API-KEY': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    prompt: '<string>',
    model: 'gpt-image-2',
    referImages: ['https://cdn.ttapi.io/xxx1.png', 'https://cdn.ttapi.io/xxx2.png'],
    aspect_ratio: '1:1',
    size: '1024x1024',
    hookUrl: '<string>'
  })
};

fetch('https://api.ttapi.io/openai/gpt/generations', 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://api.ttapi.io/openai/gpt/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([
    'prompt' => '<string>',
    'model' => 'gpt-image-2',
    'referImages' => [
        'https://cdn.ttapi.io/xxx1.png',
        'https://cdn.ttapi.io/xxx2.png'
    ],
    'aspect_ratio' => '1:1',
    'size' => '1024x1024',
    'hookUrl' => '<string>'
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "TT-API-KEY: <api-key>"
  ],
]);

$response = curl_exec($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.ttapi.io/openai/gpt/generations"

	payload := strings.NewReader("{\n  \"prompt\": \"<string>\",\n  \"model\": \"gpt-image-2\",\n  \"referImages\": [\n    \"https://cdn.ttapi.io/xxx1.png\",\n    \"https://cdn.ttapi.io/xxx2.png\"\n  ],\n  \"aspect_ratio\": \"1:1\",\n  \"size\": \"1024x1024\",\n  \"hookUrl\": \"<string>\"\n}")

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

	req.Header.Add("TT-API-KEY", "<api-key>")
	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.ttapi.io/openai/gpt/generations")
  .header("TT-API-KEY", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"prompt\": \"<string>\",\n  \"model\": \"gpt-image-2\",\n  \"referImages\": [\n    \"https://cdn.ttapi.io/xxx1.png\",\n    \"https://cdn.ttapi.io/xxx2.png\"\n  ],\n  \"aspect_ratio\": \"1:1\",\n  \"size\": \"1024x1024\",\n  \"hookUrl\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.ttapi.io/openai/gpt/generations")

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

request = Net::HTTP::Post.new(url)
request["TT-API-KEY"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"prompt\": \"<string>\",\n  \"model\": \"gpt-image-2\",\n  \"referImages\": [\n    \"https://cdn.ttapi.io/xxx1.png\",\n    \"https://cdn.ttapi.io/xxx2.png\"\n  ],\n  \"aspect_ratio\": \"1:1\",\n  \"size\": \"1024x1024\",\n  \"hookUrl\": \"<string>\"\n}"

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

{
  "status": "SUCCESS",
  "message": "success",
  "data": {
    "jobId": "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
  }
}

{
  "status": "FAILED",
  "message": "\"prompt\" cannot be empty.",
  "data": {}
}

{
  "status": "FAILED",
  "message": "Wrong TT-API-KEY or email is not activated."
}

POST

openai

gpt

generations

cURL

curl --request POST \
  --url https://api.ttapi.io/openai/gpt/generations \
  --header 'Content-Type: application/json' \
  --header 'TT-API-KEY: <api-key>' \
  --data '
{
  "prompt": "<string>",
  "model": "gpt-image-2",
  "referImages": [
    "https://cdn.ttapi.io/xxx1.png",
    "https://cdn.ttapi.io/xxx2.png"
  ],
  "aspect_ratio": "1:1",
  "size": "1024x1024",
  "hookUrl": "<string>"
}
'

import requests

url = "https://api.ttapi.io/openai/gpt/generations"

payload = {
    "prompt": "<string>",
    "model": "gpt-image-2",
    "referImages": ["https://cdn.ttapi.io/xxx1.png", "https://cdn.ttapi.io/xxx2.png"],
    "aspect_ratio": "1:1",
    "size": "1024x1024",
    "hookUrl": "<string>"
}
headers = {
    "TT-API-KEY": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'TT-API-KEY': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    prompt: '<string>',
    model: 'gpt-image-2',
    referImages: ['https://cdn.ttapi.io/xxx1.png', 'https://cdn.ttapi.io/xxx2.png'],
    aspect_ratio: '1:1',
    size: '1024x1024',
    hookUrl: '<string>'
  })
};

fetch('https://api.ttapi.io/openai/gpt/generations', 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://api.ttapi.io/openai/gpt/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([
    'prompt' => '<string>',
    'model' => 'gpt-image-2',
    'referImages' => [
        'https://cdn.ttapi.io/xxx1.png',
        'https://cdn.ttapi.io/xxx2.png'
    ],
    'aspect_ratio' => '1:1',
    'size' => '1024x1024',
    'hookUrl' => '<string>'
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "TT-API-KEY: <api-key>"
  ],
]);

$response = curl_exec($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.ttapi.io/openai/gpt/generations"

	payload := strings.NewReader("{\n  \"prompt\": \"<string>\",\n  \"model\": \"gpt-image-2\",\n  \"referImages\": [\n    \"https://cdn.ttapi.io/xxx1.png\",\n    \"https://cdn.ttapi.io/xxx2.png\"\n  ],\n  \"aspect_ratio\": \"1:1\",\n  \"size\": \"1024x1024\",\n  \"hookUrl\": \"<string>\"\n}")

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

	req.Header.Add("TT-API-KEY", "<api-key>")
	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.ttapi.io/openai/gpt/generations")
  .header("TT-API-KEY", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"prompt\": \"<string>\",\n  \"model\": \"gpt-image-2\",\n  \"referImages\": [\n    \"https://cdn.ttapi.io/xxx1.png\",\n    \"https://cdn.ttapi.io/xxx2.png\"\n  ],\n  \"aspect_ratio\": \"1:1\",\n  \"size\": \"1024x1024\",\n  \"hookUrl\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.ttapi.io/openai/gpt/generations")

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

request = Net::HTTP::Post.new(url)
request["TT-API-KEY"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"prompt\": \"<string>\",\n  \"model\": \"gpt-image-2\",\n  \"referImages\": [\n    \"https://cdn.ttapi.io/xxx1.png\",\n    \"https://cdn.ttapi.io/xxx2.png\"\n  ],\n  \"aspect_ratio\": \"1:1\",\n  \"size\": \"1024x1024\",\n  \"hookUrl\": \"<string>\"\n}"

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

{
  "status": "SUCCESS",
  "message": "success",
  "data": {
    "jobId": "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
  }
}

{
  "status": "FAILED",
  "message": "\"prompt\" cannot be empty.",
  "data": {}
}

{
  "status": "FAILED",
  "message": "Wrong TT-API-KEY or email is not activated."
}

Authorizations

TT-API-KEY

string

header

required

You can obtain your API key from the TTAPI Dashboard.

Body

application/json

prompt

string

required

Text prompt for image generation. Since this is a reverse-engineered model, it's recommended to include keywords in your prompt such as: "draw a xxx", "generate a", 'draw a xxx', Language is not restricted; OpenAI itself supports multilingual models with excellent Chinese support.

model

enum<string>

default:gpt-image-2

Supported models

Available options:

gpt-image-1.5,

gpt-image-2,

gpt-image-2-plus

referImages

string[]

Reference image array

Example:

[
  "https://cdn.ttapi.io/xxx1.png",
  "https://cdn.ttapi.io/xxx2.png"
]

aspect_ratio

enum<string>

Support model: gpt-image-2

Available options:

1:1,

3:4,

4:3,

16:9,

9:16

Example:

"1:1"

size

string

Image Size (width × height), support model: gpt-image-2-plus

must meet the following constraints:

Both width and height must be multiples of 16 Maximum edge ≤ 3840 Aspect ratio ≤ 3:1 Total pixels: 655,360 ~ 8,294,400

If the input size is invalid, it will be automatically adjusted to a valid range

Example:

"1024x1024"

hookUrl

string

Callback notification URL. When task completes or fails, this URL will be notified. Notification data structure [blocked] is consistent with fetch structure. If not set, you need to request the fetch endpoint [blocked] for query

Response

Request successful

status

string

required

Example:

"SUCCESS"

message

string

required

Example:

"success"

data

object

required

Example:

{
  "jobId": "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
}

Last modified on April 22, 2026

Edits [Official]GPT-Image Result [Unofficial]

Image Generation

Video Generation

Music Generation

Text / LLM

Account

GPT-Image Generation [Unofficial]

Authorizations

Body

Response