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InteriorDecorator.ai
shell python php javascript

መግቢያ

እንኳን ወደ InteriorDecorator.ai መድረክ ኤፒአይ በደህና መጡ!

እያንዳንዱ ባህሪ ተጠቃሚዎቻችን በቀላሉ እንዲፈጥሩ፣ እንዲያርትዑ ወይም የውስጥ ዲዛይን ምስሎችን በAI በ InteriorDecorator.ai's ስርዓት እንዲያገኙ ለመርዳት የተነደፈ ነው።

የእርስዎን API ቁልፍ ለማግኘት እባክዎ ወደ መለያ ገጽ ይሂዱ።

ነባሪ ቤዝ ዩአርኤል

የ InteriorDecorator.ai API ነባሪ መነሻ ዩአርኤል ፡ https://api.interiordecorator.ai/v1/ ነው

ማስታወሻ፡ ለደህንነት ሲባል ሁሉም InteriorDecorator.ai APIs የሚቀርበው በHTTTPS ብቻ ነው።

ፍቃድ

InteriorDecorator.ai API ለመጠቀም ከመለያህ ጋር የተያያዘውን የኤፒአይ ቁልፍ ያስፈልግሃል።

የፈቃድ እሴቱ በራስጌዎች ጥያቄ ውስጥ መላክ አለበት።

Authorization: <api_key>

የውስጥ ንድፍ ሀሳቦች

 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'


ውጤት ያግኙ

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);

ምላሽ

/path/to/local/result.jpg

HTTP ጥያቄ

POST /interior-image/

የጥያቄ መለኪያዎች

መለኪያ ዓይነት መግለጫ ለምሳሌ
file ያስፈልጋል AI እንደ መሰረት አድርጎ የሚወስደውን ምስል ይምረጡ.
room_type ያስፈልጋል ፎቶው ከየትኛው ቤትዎ እንደሆነ ይምረጡ። Living room, Bedroom, Bath room... ሙሉ ዝርዝር ከዚህ በታች
style ያስፈልጋል AI ፎቶዎን እንዲሰጥ ምን አይነት ዘይቤ እንደሚፈልጉ ይምረጡ Eastern, Modern, Minimalist... ሙሉ ዝርዝር ከዚህ በታች
upscale አማራጭ AI ትልቅ መጠን ያለው ምስል ይመልሳል። true ወይም false
model አማራጭ የንድፍ ሀሳቦችን ለማመንጨት የ AI ሞዴልን ይምረጡ. Stable Diffusion 1.5 እና Openjourney v4 አለን። sd15 ወይም openjourney-v4

room_type ሊሆኑ የሚችሉ እሴቶች ናቸው።:
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, ወይም Mudroom

style ሊሆኑ የሚችሉ እሴቶች ናቸው።:
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 ወይም Neoclassic