Room Decorator Endpoint

Overview

This endpoint helps decorate a room according to the prompt provided.

Request

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

Make a POST request to https://modelslab.com/api/v6/interior/room_decorator 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 room decor image.	String
init_image	A URL to the initial image of the room to base the design 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 for reproducibility. The same seed generates the same image. Use null for a random seed.	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://upcdn.io/12a1yeE/raw/WhatsApp%20Image%202024-04-04%20at%208.06.42%20AM.jpeg",
  "prompt": "luxury badroom, table, red carpet, wodden floor",
  "negative_prompt": "bad quality",
  "seed": 0,
  "guidance_scale": 8,
  "strength": 0.99,
  "num_inference_steps": 51,
  "base64": false,
  "temp": false,
  "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://upcdn.io/12a1yeE/raw/WhatsApp%20Image%202024-04-04%20at%208.06.42%20AM.jpeg",
    "prompt": "luxury badroom, table, red carpet, wodden floor",
    "negative_prompt": "bad quality",
    "seed": 0,
    "guidance_scale": 8,
    "strength": 0.99,
    "num_inference_steps": 51,
    "base64": false,
    "temp": false,
    "webhook":null,
    "track_id": null
});

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

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

PHP

<?php

$payload = [
      "key" => "",
      "init_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",
      "negative_prompt" => "bad quality",
      "seed" => 0,
      "guidance_scale" => 8,
      "strength" => 0.99,
      "num_inference_steps" => 51,
      "base64"=> false,
      "temp" => false,
      "webhook" => null,
      "track_id" => null
];

$curl = curl_init();

curl_setopt_array($curl, array(
  CURLOPT_URL => 'https://modelslab.com/api/v6/interior/room_decorator',
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => '',
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 0,
  CURLOPT_FOLLOWLOCATION => true,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => 'POST',
  CURLOPT_POSTFIELDS => json_encode($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/room_decorator',
  'headers': {
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    "key":"",
    "init_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",
    "negative_prompt": "bad quality",
    "seed": 0,
    "guidance_scale": 8,
    "strength": 0.99,
    "num_inference_steps": 51,
    "base64": false,
    "temp": false,
    "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/room_decorator"

payload = json.dumps({
  "key":"",
    "init_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",
    "negative_prompt": "bad quality",
    "seed": 0,
    "guidance_scale": 8,
    "strength": 0.99,
    "num_inference_steps": 51,
    "base64": false,
    "temp": false,
    "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://upcdn.io/12a1yeE/raw/WhatsApp%20Image%202024-04-04%20at%208.06.42%20AM.jpeg\",\n  \"prompt\": \"luxury badroom, table, red carpet, wodden floor\",\n  \"negative_prompt\": \"bad quality\",\n  \"seed\": 0,\n  \"guidance_scale\": 8,\n  \"strength\": 0.99,\n  \"num_inference_steps\": 51,\n  \"base64\": false,\n  \"temp\": false,\n  \"webhook\":null,\n  \"track_id\": null\n}");
Request request = new Request.Builder()
  .url("https://modelslab.com/api/v6/interior/room_decorator")
  .method("POST", body)
  .addHeader("Content-Type", "application/json")
  .addHeader("X-API-Key", "{{token}}")
  .build();
Response response = client.newCall(request).execute();

Response

Example Response

{
    "status": "success",
    "generationTime": 10.1,
    "id": 278,
    "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"
    }
}