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InteriorDecorator.ai
shell python php javascript

介绍

欢迎使用 InteriorDecorator.ai 平台 API!

每个功能都旨在帮助我们的用户在 InteriorDecorator.ai 系统上使用 AI 更轻松地创建、编辑或获取室内设计图像。

要获取您的 API 密钥,请转至帐户页面

默认基本 URL

InteriorDecorator.ai API 的默认基本 URL 为:https: //api.interiordecorator.ai/v1/

注意:出于安全原因,所有 InteriorDecorator.ai API 仅通过 HTTPS 提供服务。

授权

要使用 InteriorDecorator.ai API,您需要链接到您的帐户的API 密钥。

授权值应在标头请求中发送。

Authorization: <api_key>

室内设计理念

 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'


得到结果

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);

回复

/path/to/local/result.jpg

HTTP请求

POST /interior-image/

查询参数

范围 类型 描述 例子
file 必需的 选择 AI 将作为基础的图像。
room_type 必需的 选择照片来自您房子的哪个部分。 Living room, Bedroom, Bath room... 完整列表如下
style 必需的 选择您希望 AI 为您的照片赋予什么风格 Eastern, Modern, Minimalist... 完整列表如下
upscale 选修的 人工智能将返回更大的放大图像。 true 或者 false
model 选修的 选择AI模型来生成设计想法。我们有 Stable Diffusion 1.5 和 Openjourney v4 sd15 或者 openjourney-v4

room_type的可能值为:
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, 或者 Mudroom

style的可能值为:
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 或者 Neoclassic