Įvadas
Sveiki atvykę į InteriorDecorator.ai platformos API!
Kiekviena funkcija skirta padėti mūsų vartotojams lengviau kurti, redaguoti ar gauti interjero dizaino vaizdus naudojant AI InteriorDecorator.ai sistemoje.
Norėdami gauti API raktą, eikite į paskyros puslapį .
Numatytasis bazinis URL
Numatytasis pagrindinis InteriorDecorator.ai API URL yra: https://api.interiordecorator.ai/v1/
Pastaba: saugumo sumetimais visos InteriorDecorator.ai API teikiamos tik per HTTPS.
Autorizacija
Norėdami naudoti InteriorDecorator.ai API, jums reikės API rakto, susieto su jūsų paskyra .
Prieigos vertė turėtų būti išsiųsta antraštės užklausoje.
Authorization: <api_key>
Interjero dizaino idėjos
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'
Gaukite rezultatą
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);
Atsakymas
/path/to/local/result.jpg
HTTP užklausa
POST /interior-image/
Užklausos parametrai
Parametras | Tipas | apibūdinimas | Pavyzdys |
---|---|---|---|
file | Reikalingas | Pasirinkite vaizdą, kurį AI paims kaip pagrindą. | |
room_type | Reikalingas | Pasirinkite, iš kurios jūsų namo dalies yra nuotrauka. | Living room , Bedroom , Bath room ... visas sąrašas žemiau
|
style | Reikalingas | Pasirinkite, kokio stiliaus norite, kad AI suteiktų jūsų nuotraukai | Eastern , Modern , Minimalist ... visas sąrašas žemiau |
upscale | Neprivaloma | AI pateiks didesnį padidintą vaizdą. | true arba false |
model | Neprivaloma | Pasirinkite AI modelį, kad sukurtumėte dizaino idėjas. Turime Stable Diffusion 1.5 ir Openjourney v4 | sd15 arba openjourney-v4 |
Galimos room_type reikšmės yra:
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
, arba Mudroom
Galimos style vertės yra:
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
arba Neoclassic