Introduzione
Benvenuti à l'API di a piattaforma InteriorDecorator.ai!
Ogni funzione hè pensata per aiutà i nostri utilizatori à creà, edità o uttene più facilmente l'imaghjini di design d'internu cù AI in u sistema di InteriorDecorator.ai.
Per uttene a vostra chjave API, andate à a pagina di u contu .
URL di basa predeterminatu
L'URL di basa predefinitu per l'API InteriorDecorator.ai hè: https://api.interiordecorator.ai/v1/
Nota: per ragioni di sicurezza, tutte l'API di InteriorDecorator.ai sò servite solu per HTTPS.
Auturizazione
Per utilizà l'API InteriorDecorator.ai, avete bisognu di a chjave API chì hè ligata à u vostru contu .
U valore di l'autorizazione deve esse mandatu in a dumanda di Headers.
Authorization: <api_key>
Idee di design d'interni
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'
Ottene u risultatu
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);
Risposta
/path/to/local/result.jpg
Richiesta HTTP
POST /interior-image/
Paràmetri di dumanda
| Parametru | Tipu | Descrizzione | Esempiu |
|---|---|---|---|
| file | Ubligatoriu | Sceglite l'imaghjini chì l'AI pigliarà cum'è basa. | |
| room_type | Ubligatoriu | Sceglite da quale parte di a vostra casa hè a foto. | Living room, Bedroom, Bath room... lista cumpleta sottu
|
| style | Ubligatoriu | Selezziunate u stilu chì vulete chì l'AI dà a vostra foto | Eastern, Modern, Minimalist... lista cumpleta sottu |
| upscale | Opcional | L'AI restituverà una maghjina scalata più grande. | true o false |
| model | Opcional | Sceglite u mudellu AI per generà idee di design. Avemu Stable Diffusion 1.5 è Openjourney v4 | sd15 o openjourney-v4 |
I valori pussibuli per room_type sò:
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, o Mudroom
I valori pussibuli per style sò:
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 o Neoclassic