curl --request POST \
  --url https://api.novita.ai/v3/async/inpainting \
  --header 'Authorization: <authorization>' \
  --header 'Content-Type: <content-type>' \
  --data '
{
  "extra": {
    "response_image_type": "<string>",
    "webhook": {
      "url": "<string>",
      "test_mode": {
        "enabled": true,
        "return_task_status": "<string>"
      }
    },
    "custom_storage": {
      "aws_s3": {
        "region": "<string>",
        "bucket": "<string>",
        "path": "<string>",
        "save_to_path_directly": true
      }
    },
    "enterprise_plan": {
      "enabled": true
    },
    "enable_nsfw_detection": true,
    "nsfw_detection_level": 123
  },
  "request": {
    "model_name": "<string>",
    "image_base64": "<string>",
    "mask_image_base64": "<string>",
    "prompt": "<string>",
    "image_num": 123,
    "steps": 123,
    "guidance_scale": 123,
    "sampler_name": "<string>",
    "mask_blur": 123,
    "negative_prompt": "<string>",
    "sd_vae": "<string>",
    "seed": 123,
    "loras": [
      {
        "model_name": "<string>",
        "strength": 123
      }
    ],
    "embeddings": [
      {
        "model_name": "<string>"
      }
    ],
    "clip_skip": 123,
    "strength": {},
    "inpainting_full_res": 123,
    "inpainting_full_res_padding": 123,
    "inpainting_mask_invert": 123,
    "initial_noise_multiplier": 123
  }
}
'

import requests

url = "https://api.novita.ai/v3/async/inpainting"

payload = {
    "extra": {
        "response_image_type": "<string>",
        "webhook": {
            "url": "<string>",
            "test_mode": {
                "enabled": True,
                "return_task_status": "<string>"
            }
        },
        "custom_storage": { "aws_s3": {
                "region": "<string>",
                "bucket": "<string>",
                "path": "<string>",
                "save_to_path_directly": True
            } },
        "enterprise_plan": { "enabled": True },
        "enable_nsfw_detection": True,
        "nsfw_detection_level": 123
    },
    "request": {
        "model_name": "<string>",
        "image_base64": "<string>",
        "mask_image_base64": "<string>",
        "prompt": "<string>",
        "image_num": 123,
        "steps": 123,
        "guidance_scale": 123,
        "sampler_name": "<string>",
        "mask_blur": 123,
        "negative_prompt": "<string>",
        "sd_vae": "<string>",
        "seed": 123,
        "loras": [
            {
                "model_name": "<string>",
                "strength": 123
            }
        ],
        "embeddings": [{ "model_name": "<string>" }],
        "clip_skip": 123,
        "strength": {},
        "inpainting_full_res": 123,
        "inpainting_full_res_padding": 123,
        "inpainting_mask_invert": 123,
        "initial_noise_multiplier": 123
    }
}
headers = {
    "Content-Type": "<content-type>",
    "Authorization": "<authorization>"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'Content-Type': '<content-type>', Authorization: '<authorization>'},
  body: JSON.stringify({
    extra: {
      response_image_type: '<string>',
      webhook: {url: '<string>', test_mode: {enabled: true, return_task_status: '<string>'}},
      custom_storage: {
        aws_s3: {
          region: '<string>',
          bucket: '<string>',
          path: '<string>',
          save_to_path_directly: true
        }
      },
      enterprise_plan: {enabled: true},
      enable_nsfw_detection: true,
      nsfw_detection_level: 123
    },
    request: {
      model_name: '<string>',
      image_base64: '<string>',
      mask_image_base64: '<string>',
      prompt: '<string>',
      image_num: 123,
      steps: 123,
      guidance_scale: 123,
      sampler_name: '<string>',
      mask_blur: 123,
      negative_prompt: '<string>',
      sd_vae: '<string>',
      seed: 123,
      loras: [{model_name: '<string>', strength: 123}],
      embeddings: [{model_name: '<string>'}],
      clip_skip: 123,
      strength: {},
      inpainting_full_res: 123,
      inpainting_full_res_padding: 123,
      inpainting_mask_invert: 123,
      initial_noise_multiplier: 123
    }
  })
};

fetch('https://api.novita.ai/v3/async/inpainting', 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.novita.ai/v3/async/inpainting",
  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([
    'extra' => [
        'response_image_type' => '<string>',
        'webhook' => [
                'url' => '<string>',
                'test_mode' => [
                                'enabled' => true,
                                'return_task_status' => '<string>'
                ]
        ],
        'custom_storage' => [
                'aws_s3' => [
                                'region' => '<string>',
                                'bucket' => '<string>',
                                'path' => '<string>',
                                'save_to_path_directly' => true
                ]
        ],
        'enterprise_plan' => [
                'enabled' => true
        ],
        'enable_nsfw_detection' => true,
        'nsfw_detection_level' => 123
    ],
    'request' => [
        'model_name' => '<string>',
        'image_base64' => '<string>',
        'mask_image_base64' => '<string>',
        'prompt' => '<string>',
        'image_num' => 123,
        'steps' => 123,
        'guidance_scale' => 123,
        'sampler_name' => '<string>',
        'mask_blur' => 123,
        'negative_prompt' => '<string>',
        'sd_vae' => '<string>',
        'seed' => 123,
        'loras' => [
                [
                                'model_name' => '<string>',
                                'strength' => 123
                ]
        ],
        'embeddings' => [
                [
                                'model_name' => '<string>'
                ]
        ],
        'clip_skip' => 123,
        'strength' => [
                
        ],
        'inpainting_full_res' => 123,
        'inpainting_full_res_padding' => 123,
        'inpainting_mask_invert' => 123,
        'initial_noise_multiplier' => 123
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: <authorization>",
    "Content-Type: <content-type>"
  ],
]);

$response = curl_exec($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.novita.ai/v3/async/inpainting"

	payload := strings.NewReader("{\n  \"extra\": {\n    \"response_image_type\": \"<string>\",\n    \"webhook\": {\n      \"url\": \"<string>\",\n      \"test_mode\": {\n        \"enabled\": true,\n        \"return_task_status\": \"<string>\"\n      }\n    },\n    \"custom_storage\": {\n      \"aws_s3\": {\n        \"region\": \"<string>\",\n        \"bucket\": \"<string>\",\n        \"path\": \"<string>\",\n        \"save_to_path_directly\": true\n      }\n    },\n    \"enterprise_plan\": {\n      \"enabled\": true\n    },\n    \"enable_nsfw_detection\": true,\n    \"nsfw_detection_level\": 123\n  },\n  \"request\": {\n    \"model_name\": \"<string>\",\n    \"image_base64\": \"<string>\",\n    \"mask_image_base64\": \"<string>\",\n    \"prompt\": \"<string>\",\n    \"image_num\": 123,\n    \"steps\": 123,\n    \"guidance_scale\": 123,\n    \"sampler_name\": \"<string>\",\n    \"mask_blur\": 123,\n    \"negative_prompt\": \"<string>\",\n    \"sd_vae\": \"<string>\",\n    \"seed\": 123,\n    \"loras\": [\n      {\n        \"model_name\": \"<string>\",\n        \"strength\": 123\n      }\n    ],\n    \"embeddings\": [\n      {\n        \"model_name\": \"<string>\"\n      }\n    ],\n    \"clip_skip\": 123,\n    \"strength\": {},\n    \"inpainting_full_res\": 123,\n    \"inpainting_full_res_padding\": 123,\n    \"inpainting_mask_invert\": 123,\n    \"initial_noise_multiplier\": 123\n  }\n}")

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

	req.Header.Add("Content-Type", "<content-type>")
	req.Header.Add("Authorization", "<authorization>")

	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.novita.ai/v3/async/inpainting")
  .header("Content-Type", "<content-type>")
  .header("Authorization", "<authorization>")
  .body("{\n  \"extra\": {\n    \"response_image_type\": \"<string>\",\n    \"webhook\": {\n      \"url\": \"<string>\",\n      \"test_mode\": {\n        \"enabled\": true,\n        \"return_task_status\": \"<string>\"\n      }\n    },\n    \"custom_storage\": {\n      \"aws_s3\": {\n        \"region\": \"<string>\",\n        \"bucket\": \"<string>\",\n        \"path\": \"<string>\",\n        \"save_to_path_directly\": true\n      }\n    },\n    \"enterprise_plan\": {\n      \"enabled\": true\n    },\n    \"enable_nsfw_detection\": true,\n    \"nsfw_detection_level\": 123\n  },\n  \"request\": {\n    \"model_name\": \"<string>\",\n    \"image_base64\": \"<string>\",\n    \"mask_image_base64\": \"<string>\",\n    \"prompt\": \"<string>\",\n    \"image_num\": 123,\n    \"steps\": 123,\n    \"guidance_scale\": 123,\n    \"sampler_name\": \"<string>\",\n    \"mask_blur\": 123,\n    \"negative_prompt\": \"<string>\",\n    \"sd_vae\": \"<string>\",\n    \"seed\": 123,\n    \"loras\": [\n      {\n        \"model_name\": \"<string>\",\n        \"strength\": 123\n      }\n    ],\n    \"embeddings\": [\n      {\n        \"model_name\": \"<string>\"\n      }\n    ],\n    \"clip_skip\": 123,\n    \"strength\": {},\n    \"inpainting_full_res\": 123,\n    \"inpainting_full_res_padding\": 123,\n    \"inpainting_mask_invert\": 123,\n    \"initial_noise_multiplier\": 123\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.novita.ai/v3/async/inpainting")

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

request = Net::HTTP::Post.new(url)
request["Content-Type"] = '<content-type>'
request["Authorization"] = '<authorization>'
request.body = "{\n  \"extra\": {\n    \"response_image_type\": \"<string>\",\n    \"webhook\": {\n      \"url\": \"<string>\",\n      \"test_mode\": {\n        \"enabled\": true,\n        \"return_task_status\": \"<string>\"\n      }\n    },\n    \"custom_storage\": {\n      \"aws_s3\": {\n        \"region\": \"<string>\",\n        \"bucket\": \"<string>\",\n        \"path\": \"<string>\",\n        \"save_to_path_directly\": true\n      }\n    },\n    \"enterprise_plan\": {\n      \"enabled\": true\n    },\n    \"enable_nsfw_detection\": true,\n    \"nsfw_detection_level\": 123\n  },\n  \"request\": {\n    \"model_name\": \"<string>\",\n    \"image_base64\": \"<string>\",\n    \"mask_image_base64\": \"<string>\",\n    \"prompt\": \"<string>\",\n    \"image_num\": 123,\n    \"steps\": 123,\n    \"guidance_scale\": 123,\n    \"sampler_name\": \"<string>\",\n    \"mask_blur\": 123,\n    \"negative_prompt\": \"<string>\",\n    \"sd_vae\": \"<string>\",\n    \"seed\": 123,\n    \"loras\": [\n      {\n        \"model_name\": \"<string>\",\n        \"strength\": 123\n      }\n    ],\n    \"embeddings\": [\n      {\n        \"model_name\": \"<string>\"\n      }\n    ],\n    \"clip_skip\": 123,\n    \"strength\": {},\n    \"inpainting_full_res\": 123,\n    \"inpainting_full_res_padding\": 123,\n    \"inpainting_mask_invert\": 123,\n    \"initial_noise_multiplier\": 123\n  }\n}"

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

{
  "task_id": "<string>"
}