Room Decorator Endpoint

Overview

This endpoint helps to decorate a room according to prompt passed

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 request authorization	string
prompt	The text prompt describing the content you want in the generated image	string
init_image	Link to the Initial Image of the room	string
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	Prompt strength when using init_image 1.0 corresponds to full destruction of information in the init image.	float
base64	Get response as base64 string, default: false	boolean options: true or false
num_inference_steps	The number of denoising steps. The acceptable values are 21, 31, or 41	integer (21, 31, or 41)
guidance_scale	The scale for classifier-free guidance. The minimum is 1 and the maximum is 20	integer (1 to 20)
temp	Create temp image link. This link is valid for 24 hours.	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.	int
webhook	Provide a URL to receive a POST API call once the image generation is complete	URL
track_id	This ID is returned in the response to the webhook API call and will be 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"
    }
}