Exterior Restorer Endpoint

Overview

This endpoint allows you to convert bad exterior to good exterior .

Request

--request POST 'https://modelslab.com/api/v6/interior/exterior_restorer' \

Make a POST request to https://modelslab.com/api/v6/interior/exterior_restorer endpoint and pass the required parameters in the request body.

Body Attributes

Parameter	Description	Values
key	Your API Key used for authenticating your request.	String
prompt	A text prompt describing the content you want in the generated floor plan image.	String
init_image	A URL to the initial image of the room to base the floor plan on.	URL
negative_prompt	Negative prompts are descriptions of things we don't want in our image. Examples include NSFW content, extra limbs, distorted faces, poor quality, or anything else we want to avoid.	String
strength	The degree to which the prompt influences the initial image. 1.0 corresponds to full destruction of the initial image details.	float
base64	Specifies whether the response should be returned as a base64 string. Defaults to false.	boolean options: true or false
num_inference_steps	The number of denoising steps. Acceptable values are 21, 31, or 41.	Integer (21, 31, or 41)
guidance_scale	The scale for classifier-free guidance. Minimum is 1, and maximum is 20.	Integer (1 to 20)
temp	Indicates if temporary links should be used, valid for 24 hours. Defaults to false.	boolean options: true/false
seed	Seed is used to reproduce results, same seed will give you same image in return again. Pass null for a random number.	Integer or null
webhook	A URL to receive a POST API call once the image generation is complete.	URL
track_id	An ID returned in the API response, used to identify the webhook request.	Integer value

Example

Body

Body

{
  "key":"",
  "init_image": "https://i.pinimg.com/736x/b2/94/76/b29476a69497bbc870d48a531e0008db.jpg",
  "prompt": "rendering floor plan of the apartment layout,top view,white background,masterpiece, kitchen, living room, sofa, chair,bedroom,car best quality, extremely detailed,best illustration, best shadow",
  "seed": 0,
  "guidance_scale": 8,
  "strength": 0.99,
  "num_inference_steps": 51,
  "base64": false,
  "temp": false,
  "specific_object": null,
  "webhook": null,
  "track_id": null
}

Request

JS

var myHeaders = new Headers();
myHeaders.append("Content-Type", "application/json");

var raw = JSON.stringify({
      "key":"",
      "init_image": "https://i.pinimg.com/736x/b2/94/76/b29476a69497bbc870d48a531e0008db.jpg",
      "prompt": "rendering floor plan of the apartment layout,top view,white background,masterpiece, kitchen, living room, sofa, chair,bedroom,car best quality, extremely detailed,best illustration, best shadow",
      "seed": 0,
      "guidance_scale": 8,
      "strength": 0.99,
      "num_inference_steps": 51,
      "base64": false,
      "temp": false,
      "specific_object": null,
      "webhook": null,
      "track_id": null
});

var requestOptions = {
  method: 'POST',
  headers: myHeaders,
  body: raw,
  redirect: 'follow'
};

fetch("https://modelslab.com/api/v6/interior/exterior_restorer", requestOptions)
  .then(response => response.text())
  .then(result => console.log(result))
  .catch(error => console.log('error', error));

PHP

<?php

$payload = [
    "key" => "",
    "init_image" => "https://i.pinimg.com/736x/b2/94/76/b29476a69497bbc870d48a531e0008db.jpg",
    "prompt" => "rendering floor plan of the apartment layout,top view,white background,masterpiece, kitchen, living room, sofa, chair,bedroom,car best quality, extremely detailed,best illustration, best shadow",
    "seed" => 0,
    "guidance_scale" => 8,
    "strength" => 0.99,
    "num_inference_steps" =>  51,
    "base64" => false,
    "temp" => false,
    "specific_object" => null,
    "webhook" =>  null,
    "track_id" => null
];

$curl = curl_init();

curl_setopt_array($curl, array(
  CURLOPT_URL => 'https://modelslab.com/api/v6/interior/exterior_restorer',
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => '',
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 0,
  CURLOPT_FOLLOWLOCATION => true,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => 'POST',
  CURLOPT_POSTFIELDS => json_encode($payload),
  CURLOPT_HTTPHEADER => array(
    'Content-Type: application/json'
  ),
));

$response = curl_exec($curl);

curl_close($curl);
echo $response;

NODE

var request = require('request');
var options = {
  'method': 'POST',
  'url': 'https://modelslab.com/api/v6/interior/exterior_restorer',
  'headers': {
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
      "key":"",
      "init_image": "https://i.pinimg.com/736x/b2/94/76/b29476a69497bbc870d48a531e0008db.jpg",
      "prompt": "rendering floor plan of the apartment layout,top view,white background,masterpiece, kitchen, living room, sofa, chair,bedroom,car best quality, extremely detailed,best illustration, best shadow",
      "seed": 0,
      "guidance_scale": 8,
      "strength": 0.99,
      "num_inference_steps": 51,
      "base64": false,
      "temp": false,
      "specific_object": null,
      "webhook": null,
      "track_id": null
  })
};

request(options, function (error, response) {
  if (error) throw new Error(error);
  console.log(response.body);
});

PYTHON

import requests
import json

url = "https://modelslab.com/api/v6/interior/exterior_restorer"

payload = json.dumps({
      "key":"",
      "init_image": "https://i.pinimg.com/736x/b2/94/76/b29476a69497bbc870d48a531e0008db.jpg",
      "prompt": "rendering floor plan of the apartment layout,top view,white background,masterpiece, kitchen, living room, sofa, chair,bedroom,car best quality, extremely detailed,best illustration, best shadow",
      "seed": 0,
      "guidance_scale": 8,
      "strength": 0.99,
      "num_inference_steps": 51,
      "base64": false,
      "temp": false,
      "specific_object": null,
      "webhook": None,
      "track_id": None
})

headers = {
  'Content-Type': 'application/json'
}

response = requests.request("POST", url, headers=headers, data=payload)

print(response.text)

JAVA

OkHttpClient client = new OkHttpClient().newBuilder()
  .build();
MediaType mediaType = MediaType.parse("application/json");
RequestBody body = RequestBody.create(mediaType, "{\n  \"key\":\"\",\n  \"init_image\": \"https://i.pinimg.com/736x/b2/94/76/b29476a69497bbc870d48a531e0008db.jpg\",\n  \"prompt\": \"rendering floor plan of the apartment layout,top view,white background,masterpiece, kitchen, living room, sofa, chair,bedroom,car best quality, extremely detailed,best illustration, best shadow\",\n  \"seed\": 0,\n  \"guidance_scale\": 8,\n  \"strength\": 0.99,\n  \"num_inference_steps\": 51,\n  \"base64\": false,\n  \"temp\": false,\n  \"specific_object\": null,\n  \"scale_down\": 6,\n  \"opacity\": 0.7,\n  \"padding_right\": 10,\n  \"padding_down\": 10,\n  \"webhook\": null,\n  \"track_id\": null\n}");
Request request = new Request.Builder()
  .url("https://modelslab.com/api/v6/interior/exterior_restorer")
  .method("POST", body)
  .addHeader("Content-Type", "application/json")
  .addHeader("X-API-Key", "{{token}}")
  .build();
Response response = client.newCall(request).execute();

Response

Success

{
    "status": "success",
    "generationTime": 10.1,
    "id": 298,
    "output": [
        "https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/generations/3ffcf7b3-34e2-4fcf-8c61-7b60bf81df37.png"
    ],
    "proxy_links": [
        "https://cdn2.stablediffusionapi.com/generations/3ffcf7b3-34e2-4fcf-8c61-7b60bf81df37.png"
    ],
    "meta": {
        "room_image": "https://upcdn.io/12a1yeE/raw/WhatsApp%20Image%202024-04-04%20at%208.06.42%20AM.jpeg",
        "prompt": "luxury badroom, table, red carpet, wodden floor",
        "seed": 3750372664,
        "guidance_scale": 8,
        "strength": 0.99,
        "num_inference_steps": 51,
        "base64": "no",
        "temp": "no",
        "specific_object": null,
        "watermark": "no",
        "scale_down": 6,
        "opacity": 0.7,
        "padding_right": 10,
        "padding_down": 10,
        "file_prefix": "3ffcf7b3-34e2-4fcf-8c61-7b60bf81df37",
        "outdir": "out"
    }
}

Processing

{
    "status": "processing",
    "tip": "Your image is processing in background, you can get this image using fetch API",
    "eta": 20,
    "message": "Try to fetch request after seconds estimated",
    "fetch_result": "https://modelslab.com/api/v6/interior/fetch/298",
    "id": 298,
    "output": [],
    "meta": {
        "room_image": "https://upcdn.io/12a1yeE/raw/WhatsApp%20Image%202024-04-04%20at%208.06.42%20AM.jpeg",
        "prompt": "luxury badroom, table, red carpet, wodden floor",
        "seed": 3750372664,
        "guidance_scale": 8,
        "strength": 0.99,
        "num_inference_steps": 51,
        "base64": "no",
        "temp": "no",
        "specific_object": null,
        "watermark": "no",
        "scale_down": 6,
        "opacity": 0.7,
        "padding_right": 10,
        "padding_down": 10,
        "file_prefix": "3ffcf7b3-34e2-4fcf-8c61-7b60bf81df37",
        "outdir": "out"
    },
    "future_links": [
        "https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/generations/3ffcf7b3-34e2-4fcf-8c61-7b60bf81df37.png"
    ]
}

Error

{
    "status": "error",
    "message": "Error message"
}