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InteriorDecorator.ai
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소개

InteriorDecorator.ai 플랫폼 API에 오신 것을 환영합니다!

각 기능은 사용자가 InteriorDecorator.ai의 시스템에서 AI를 사용하여 인테리어 디자인 이미지를 보다 쉽게 생성, 편집 또는 가져올 수 있도록 설계되었습니다.

API 키를 얻으려면 계정 페이지 로 이동하십시오.

기본 기본 URL

InteriorDecorator.ai API의 기본 기본 URL은 https://api.interiordecorator.ai/v1/ 입니다.

참고: 보안상의 이유로 모든 InteriorDecorator.ai API는 HTTPS를 통해서만 제공됩니다.

권한 부여

InteriorDecorator.ai API를 사용하려면 계정 에 연결된 API 키가 필요합니다.

승인 값은 헤더 요청으로 보내야 합니다.

Authorization: <api_key>

인테리어 디자인 아이디어

 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'


결과 얻기

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);

응답

/path/to/local/result.jpg

HTTP 요청

POST /interior-image/

쿼리 매개변수

모수 유형 설명
file 필수의 AI가 기본으로 삼을 이미지를 선택하세요.
room_type 필수의 집의 어느 부분에서 사진을 가져왔는지 선택합니다. Living room, Bedroom, Bath room... 전체 목록 벨로우즈
style 필수의 AI가 사진에 부여할 스타일을 선택하세요. Eastern, Modern, Minimalist... 전체 목록 벨로우즈
upscale 선택 과목 AI는 더 크게 확대된 이미지를 반환합니다. true 또는 false
model 선택 과목 디자인 아이디어를 생성하려면 AI 모델을 선택하세요. Stable Diffusion 1.5와 Openjourney v4가 있습니다. sd15 또는 openjourney-v4

room_type 에 가능한 값은 다음과 같습니다.:
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, 또는 Mudroom

style 에 가능한 값은 다음과 같습니다.:
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 또는 Neoclassic