Pêşkêş
Hûn bi xêr hatin API-ya platforma InteriorDecorator.ai!
Her taybetmendî hatiye sêwirandin da ku ji bikarhênerên me re bibe alîkar ku bi hêsanî wêneyên sêwirana hundurîn bi AI-ê li ser pergala InteriorDecorator.ai biafirînin, biguherînin an bistînin.
Ji bo ku mifteya API-ya xwe bistînin, ji kerema xwe biçin rûpela hesabê .
URL-ya Bingeha Bingehîn
URL-ya bingehîn a xwerû ji bo InteriorDecorator.ai API ev e: https://api.interiordecorator.ai/v1/
Nîşe: ji ber sedemên ewlehiyê, hemî API-ên InteriorDecorator.ai tenê li ser HTTPS têne xizmet kirin.
Wekîlkirinî
Ji bo ku hûn API-a InteriorDecorator.ai bikar bînin, hûn ê hewceyê mifteya API-ê ya ku bi hesabê we ve girêdayî ye.
Divê nirxa destûrnameyê di daxwaznameya Sernivîsan de were şandin.
Authorization: <api_key>
Ramanên sêwirana hundurîn
 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'
Encamê bistînin
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);
            Bersiv
/path/to/local/result.jpg
            Daxwaza HTTP
POST /interior-image/
Parametreyên pirsê
| Parametre | Awa | Terîf | Mînak | 
|---|---|---|---|
| file | Required | Wêneyê ku AI dê wekî bingeh bigire hilbijêrin. | |
| room_type | Required | Hilbijêre ku wêne ji kîjan beşa xaniyê we ye. | Living room, Bedroom, Bath room... lîsteya tam li jêr
                     | 
                
| style | Required | Hilbijêre ku hûn çi şêwazê dixwazin ku AI wêneyê we bide | Eastern, Modern, Minimalist... lîsteya tam li jêr | 
                
| upscale | Bixwe | AI dê wêneyek pîvazek mezintir vegerîne. | true an false | 
                
| model | Bixwe | Modela AI-ê hilbijêrin ku ramanên sêwiranê biafirînin. Me Stable Diffusion 1.5 û Openjourney v4 heye | sd15 an openjourney-v4 | 
                
Nirxên gengaz ên ji bo room_type in:
                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, an Mudroom
Nirxên gengaz ên ji bo style ne:
                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 an Neoclassic