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InteriorDecorator.ai
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Introduction

Welcome to the InteriorDecorator.ai platform API!

Each feature is designed to help our users more easily create, edit or get interior design images with AI on InteriorDecorator.ai"s system.

To get your API key please go to account page.

Default Base URL

The default base URL for InteriorDecorator.ai API is: https://api.interiordecorator.ai/v1/

Note: for security reasons, all InteriorDecorator.ai APIs are served over HTTPS only.

Authorization

To use the InteriorDecorator.ai API, you’ll need the API key that is linked to your account.

The authorization value should be send in Headers request.

Authorization: <api_key>

Interior design ideas

 import requests
import time
import shutil
import json

headers = {"Authorization": "api_key"}
params = {
    "room_type": "Living room",
    "style": "Modern",
    "upscale": False,
    "model": sd15,
}
file_path = "test_files/sala.png"
base_api_url = "https://api.interiordecorator.ai"
api_url = f"{base_api_url}/v1"


def download_file(url, local_filename):
    url = f"{base_api_url}/{url}"
    with requests.get(url, stream=True) as r:
        with open(local_filename, "wb") as f:
            shutil.copyfileobj(r.raw, f)
    return local_filename


def convert_files(api_url, params, headers):
    files = [eval(f'("files", open("{file_path}", "rb"))')]
    r = requests.post(
        url=f"{api_url}/interior-image/",
        files=files,
        data=params,
        headers=headers
    )
    return r.json()


def get_results(params):
    if params.get("error"):
        print(params)
        return

    r = requests.post(
        url=f"{api_url}/results/",
        data=params
    )
    data = r.json()
    finished = data.get("finished")

    while not finished:
        if int(data.get("queue_count")) > 0:
            print("queue: %s" % data.get("queue_count"))

        time.sleep(5)
        results = get_results(params)
        results = json.dumps(results)

        if results:
            break

    if finished:
        for f in data.get("files"):
            print(f.get("url"))
            download_file("%s" % f.get("url"), "%s" % f.get("filename"))
        return {"finished": "files downloaded"}
    return r.json()


get_results(convert_files(api_url, params, headers))

curl -X POST \
  https://api.interiordecorator.ai/v1/interior-image/ \
  -H 'Authorization: api_key' \
  -F 'files=@test_files/sala.png' \
  -F 'room_type=Living room' \
  -F 'style=Modern' \
  -F 'upscale=false' \
  -F 'model=sd15'


Get result

curl -X POST \
  https://api.interiordecorator.ai/v1/results/ \
  -F 'uuid=response_uuid'
<?php
ini_set('display_errors', 1);
ini_set('display_startup_errors', 1);
error_reporting(E_ERROR | E_PARSE);

$headers = array("Authorization: api_key");
$file_list = ['/test_files/sala.png'];
$api_url = "https://api.interiordecorator.ai/v1/interior-image/";
$results_url = "https://api.interiordecorator.ai/v1/results/";

function download_file($url, $filename){
    $curl = curl_init();
    $url = "https://api.interiordecorator.ai" . $url;
    curl_setopt($curl, CURLOPT_URL, $url);
    curl_setopt($curl, CURLOPT_RETURNTRANSFER, 1);
    curl_setopt($curl, CURLOPT_SSLVERSION, 3);
    $data = curl_exec($curl);
    $error = curl_error($curl);
    curl_close ($curl);
    # Make sure destionation path exists
    $destination_path = "/path/to/result/files/";
    $destination_file = fopen($destination_path . $filename, "w+");
    fwrite($destination_file, $data);
    fclose($destination_file);
}

function convert_files($file_list, $headers, $api_url) {
    $post_data['room_type'] = 'Living room';
    $post_data['style'] = 'Modern';
    $post_data['upscale'] = false;
    $post_data['model'] = sd15;

    foreach ($file_list as $index => $file) {
        $post_data['file[' . $index . ']'] = curl_file_create(
            realpath($file),
            mime_content_type($file),
            basename($file)
        );
    }

    $curl = curl_init();
    curl_setopt($curl, CURLOPT_URL, $api_url);
    curl_setopt($curl, CURLOPT_HTTPHEADER, $headers);
    curl_setopt($curl, CURLOPT_POST, 1);
    curl_setopt($curl, CURLOPT_POSTFIELDS, $post_data);
    curl_setopt($curl, CURLOPT_FOLLOWLOCATION, true);
    curl_setopt($curl, CURLOPT_RETURNTRANSFER, true);
    $content = curl_exec($curl);
    curl_close($curl);

    return json_decode($content);
}

function get_results($params, $results_url, $headers) {
    if ($params->error) {
        print_r($params->error);
        return;
    }

    $curl = curl_init();
    curl_setopt($curl, CURLOPT_URL, $results_url);
    curl_setopt($curl, CURLOPT_HTTPHEADER, $headers);
    curl_setopt($curl, CURLOPT_POST, 1);
    curl_setopt($curl, CURLOPT_POSTFIELDS, json_decode(json_encode($params), true));
    curl_setopt($curl, CURLOPT_FOLLOWLOCATION, true);
    curl_setopt($curl, CURLOPT_RETURNTRANSFER, true);
    $content = json_decode(curl_exec($curl));
    curl_close($curl);

    if ($content->finished == false) {
        if (intval($content->queue_count) > 0) {
            print_r("queue: $content->queue_count");
        }

        sleep(5);
        $results = get_results($params, $results_url, $headers);
        return;
    }

    foreach ($content->files as $f) {
        download_file($f->url, $f->filename);
    }
}

$resp = convert_files($file_list, $headers, $api_url);
get_results($resp, $results_url, $headers);
?>
const request = require('request');
const fs = require('fs');

let file_list = ['/test_files/sala.png']
const api_url = 'https://api.interiordecorator.ai/v1/interior-image/'
const results_url = 'https://api.interiordecorator.ai/v1/results/'

function convertFiles(file_list) {
    let formData = {
        "room_type": "Living room",
        "style": "Modern",
        "upscale": false,
        "model": sd15,
    };

    for (var i = 0; i < file_list.length; i++) {
        formData['files'] = fs.createReadStream(file_list[i]);
    }

    request({
        url: api_url,
        method: 'post',
        formData: formData,
        headers: {
            "Authorization": "api_key",
            "Content-Type": "multipart/form-data",
        }
    }, function (err, res, body) {
        if (err) {
            console.error(err);
            return err;
        }
        getResults(JSON.parse(body));
    });
}

function getResults(data) {
    if (data.error) {
        console.error(data);
        return data.error;
    }
    request({
        url: results_url,
        method: 'post',
        formData: data
    }, function (e, r, body) {
        response = JSON.parse(body);
        console.log(response);
        if (!response.finished) {
            setTimeout(
                function () {
                    getResults(data);
                }, 1000
            );
        }

        console.log(response);
    })
}

convertFiles(file_list);

Response

/path/to/local/result.jpg

HTTP Request

POST /interior-image/

Query parameters

Parameter Type Description Example
file Required Choose the image that the AI will take as a base.
room_type Required Select which part of your house the photo is from. Living room, Bedroom, Bath room... complete list bellow
style Required Select what style you want the AI to give your photo Eastern, Modern, Minimalist... complete list bellow
upscale Optional The AI will return a bigger scaled up image. true or false
model Optional Choose the AI model to generate design ideas. We have Stable Diffusion 1.5 and Openjourney v4 sd15 or openjourney-v4

Posible values for room_type are:
Living room, Bedroom, Bath room, Attic, Kitchen, Dining room, Study room, Home office, Gaming room, House exterior, Outdoor pool area, Outdoor patio, Outdoor garden, Meeting room, Workshop, Fitness gym, Coffee shop, Clothing store, Walk in closet, Toilet, Restaurant, Office, Coworking space, Hotel lobby, Hotel room, Hotel bathroom, Exhibition space, or Mudroom

Posible values for style are:
Eastern, Modern, Minimalist, Contemporary, Scandinavian, Zen, Midcentury modern, Tropical, Art deco, Farmhouse, Japanese design, Rustic, Bohemian, Coastal, Cottagecore, Vintage, French country, Gaming room, Baroque, Ski chalet, Christmas, Tribal, Medieval, Chinese New Year, Halloween or Neoclassic