curl --request POST \
  --url https://api.ttapi.io/novelai/text-to-image \
  --header 'Content-Type: application/json' \
  --header 'TT-API-KEY: <api-key>' \
  --data '
{
  "prompt": "<string>",
  "model": "nai-diffusion-5-curated",
  "n": 1,
  "width": 1024,
  "height": 1024,
  "seed": "<string>",
  "steps": 23,
  "scale": 5,
  "negative_prompt": "<string>",
  "quality_toggle": true,
  "sampler": "Euler Ancestral",
  "noise_schedule": "karras",
  "character_prompts": [
    {
      "prompt": "<string>",
      "center": {
        "x": 0.5,
        "y": 0.5
      },
      "uc": "blurred, extra accessories"
    }
  ],
  "vibe_transfer": [
    {
      "image": "https://example.com/ref1.jpg",
      "strength": 0.6
    }
  ],
  "character_reference": [
    {
      "image": "https://example.com/ref2.jpg",
      "type": "character&style",
      "strength": 1,
      "fidelity": 0
    }
  ],
  "hook_url": "<string>"
}
'

import requests

url = "https://api.ttapi.io/novelai/text-to-image"

payload = {
    "prompt": "<string>",
    "model": "nai-diffusion-5-curated",
    "n": 1,
    "width": 1024,
    "height": 1024,
    "seed": "<string>",
    "steps": 23,
    "scale": 5,
    "negative_prompt": "<string>",
    "quality_toggle": True,
    "sampler": "Euler Ancestral",
    "noise_schedule": "karras",
    "character_prompts": [
        {
            "prompt": "<string>",
            "center": {
                "x": 0.5,
                "y": 0.5
            },
            "uc": "blurred, extra accessories"
        }
    ],
    "vibe_transfer": [
        {
            "image": "https://example.com/ref1.jpg",
            "strength": 0.6
        }
    ],
    "character_reference": [
        {
            "image": "https://example.com/ref2.jpg",
            "type": "character&style",
            "strength": 1,
            "fidelity": 0
        }
    ],
    "hook_url": "<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: 'nai-diffusion-5-curated',
    n: 1,
    width: 1024,
    height: 1024,
    seed: '<string>',
    steps: 23,
    scale: 5,
    negative_prompt: '<string>',
    quality_toggle: true,
    sampler: 'Euler Ancestral',
    noise_schedule: 'karras',
    character_prompts: [
      {prompt: '<string>', center: {x: 0.5, y: 0.5}, uc: 'blurred, extra accessories'}
    ],
    vibe_transfer: [{image: 'https://example.com/ref1.jpg', strength: 0.6}],
    character_reference: [
      {
        image: 'https://example.com/ref2.jpg',
        type: 'character&style',
        strength: 1,
        fidelity: 0
      }
    ],
    hook_url: '<string>'
  })
};

fetch('https://api.ttapi.io/novelai/text-to-image', 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/novelai/text-to-image",
  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' => 'nai-diffusion-5-curated',
    'n' => 1,
    'width' => 1024,
    'height' => 1024,
    'seed' => '<string>',
    'steps' => 23,
    'scale' => 5,
    'negative_prompt' => '<string>',
    'quality_toggle' => true,
    'sampler' => 'Euler Ancestral',
    'noise_schedule' => 'karras',
    'character_prompts' => [
        [
                'prompt' => '<string>',
                'center' => [
                                'x' => 0.5,
                                'y' => 0.5
                ],
                'uc' => 'blurred, extra accessories'
        ]
    ],
    'vibe_transfer' => [
        [
                'image' => 'https://example.com/ref1.jpg',
                'strength' => 0.6
        ]
    ],
    'character_reference' => [
        [
                'image' => 'https://example.com/ref2.jpg',
                'type' => 'character&style',
                'strength' => 1,
                'fidelity' => 0
        ]
    ],
    'hook_url' => '<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/novelai/text-to-image"

	payload := strings.NewReader("{\n  \"prompt\": \"<string>\",\n  \"model\": \"nai-diffusion-5-curated\",\n  \"n\": 1,\n  \"width\": 1024,\n  \"height\": 1024,\n  \"seed\": \"<string>\",\n  \"steps\": 23,\n  \"scale\": 5,\n  \"negative_prompt\": \"<string>\",\n  \"quality_toggle\": true,\n  \"sampler\": \"Euler Ancestral\",\n  \"noise_schedule\": \"karras\",\n  \"character_prompts\": [\n    {\n      \"prompt\": \"<string>\",\n      \"center\": {\n        \"x\": 0.5,\n        \"y\": 0.5\n      },\n      \"uc\": \"blurred, extra accessories\"\n    }\n  ],\n  \"vibe_transfer\": [\n    {\n      \"image\": \"https://example.com/ref1.jpg\",\n      \"strength\": 0.6\n    }\n  ],\n  \"character_reference\": [\n    {\n      \"image\": \"https://example.com/ref2.jpg\",\n      \"type\": \"character&style\",\n      \"strength\": 1,\n      \"fidelity\": 0\n    }\n  ],\n  \"hook_url\": \"<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/novelai/text-to-image")
  .header("TT-API-KEY", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"prompt\": \"<string>\",\n  \"model\": \"nai-diffusion-5-curated\",\n  \"n\": 1,\n  \"width\": 1024,\n  \"height\": 1024,\n  \"seed\": \"<string>\",\n  \"steps\": 23,\n  \"scale\": 5,\n  \"negative_prompt\": \"<string>\",\n  \"quality_toggle\": true,\n  \"sampler\": \"Euler Ancestral\",\n  \"noise_schedule\": \"karras\",\n  \"character_prompts\": [\n    {\n      \"prompt\": \"<string>\",\n      \"center\": {\n        \"x\": 0.5,\n        \"y\": 0.5\n      },\n      \"uc\": \"blurred, extra accessories\"\n    }\n  ],\n  \"vibe_transfer\": [\n    {\n      \"image\": \"https://example.com/ref1.jpg\",\n      \"strength\": 0.6\n    }\n  ],\n  \"character_reference\": [\n    {\n      \"image\": \"https://example.com/ref2.jpg\",\n      \"type\": \"character&style\",\n      \"strength\": 1,\n      \"fidelity\": 0\n    }\n  ],\n  \"hook_url\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.ttapi.io/novelai/text-to-image")

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\": \"nai-diffusion-5-curated\",\n  \"n\": 1,\n  \"width\": 1024,\n  \"height\": 1024,\n  \"seed\": \"<string>\",\n  \"steps\": 23,\n  \"scale\": 5,\n  \"negative_prompt\": \"<string>\",\n  \"quality_toggle\": true,\n  \"sampler\": \"Euler Ancestral\",\n  \"noise_schedule\": \"karras\",\n  \"character_prompts\": [\n    {\n      \"prompt\": \"<string>\",\n      \"center\": {\n        \"x\": 0.5,\n        \"y\": 0.5\n      },\n      \"uc\": \"blurred, extra accessories\"\n    }\n  ],\n  \"vibe_transfer\": [\n    {\n      \"image\": \"https://example.com/ref1.jpg\",\n      \"strength\": 0.6\n    }\n  ],\n  \"character_reference\": [\n    {\n      \"image\": \"https://example.com/ref2.jpg\",\n      \"type\": \"character&style\",\n      \"strength\": 1,\n      \"fidelity\": 0\n    }\n  ],\n  \"hook_url\": \"<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."
}