Guides, documents de référence et documentation sur l'API des outils DeepAI
Découvrez nos outils basés sur l'intelligence artificielle ici, chez DeepAI
Discutez, effectuez des recherches sur Internet et obtenez de l'aide sur n'importe quel sujet
Créez des images sympas grâce à nos différents générateurs d'images
Modifiez vos propres photos sympas grâce à notre éditeur de photos IA
Créez des vidéos exceptionnelles à partir de vos propres images ou idées
Décrivez votre site et créez-le sans écrire de code
Musique, suppression de l'arrière-plan, colorisation, amélioration de la résolution, et bien plus encore
Ce que comprend DeepAI Pro et son prix
Découvrez les API que nous proposons en consultant la documentation
DeepAI est un espace numérique exceptionnel regorgeant d'outils d'IA. Nous rendons la création de contenu plus facile et plus accessible à tous ! Que vous travailliez sur un projet pour l'école ou le travail, ou que vous souhaitiez simplement expérimenter des idées créatives, vous pouvez essayer nos outils, notamment le Chat IA, le Générateur d'images IA, l'Éditeur de photos IA, les Personnages IA, et bien plus encore. DeepAI propose également des ressources pour vous aider à vous former et à rester au fait des dernières avancées dans ce domaine.
Le Chat IA est un assistant qui répond à des instructions textuelles.
Vous pouvez l'utiliser pour créer des récits, rédiger des messages ou écrire du code. C'est comme discuter avec un ami IA ultra-intelligent, capable de parler de tout. Grâce à ses algorithmes avancés, le Chat IA comprend et répond à une grande variété de questions en faisant preuve de connaissances et de raisonnement.
Vous souhaitez bénéficier d'une interaction vocale conviviale ? Grâce à notre Chat vocal IA, c'est possible ! Que ce soit pour poser des questions, obtenir des conseils sur des sujets qui vous concernent ou relire des documents que vous souhaitez améliorer, le tout sans avoir à taper un seul mot.
Grâce à cet outil, vous pouvez l'essayer avec un compte gratuit pendant 60 secondes par jour ou avec un abonnement DeepAI Pro pour profiter de la meilleure version de notre fonctionnalité de chat vocal.
La recherche en ligne vous permet de trouver des informations sur le Web ; c'est un excellent moyen d'apprendre de nouvelles choses ou de découvrir des sujets intéressants. Connectez-vous à votre compte DeepAI pour accéder à ce mode.
Ce mode constitue une excellente option pour effectuer des recherches sur Internet en temps réel ; il vous permet de trouver des informations bien plus complètes et détaillées sur l'actualité et les sujets émergents.
L'outil « Mémoire » aide le système de chat à recueillir des informations et à affiner ses critères afin de vous fournir des réponses plus précises. Il prend en compte les informations que vous avez déjà partagées pour comprendre vos goûts, vos préférences et vos centres d'intérêt. Toutes ces informations sont basées sur les conversations que vous avez eues avec le système de chat depuis que vous avez activé cette option. Le système de chat a accès aux informations que vous avez fournies précédemment ; celles-ci ne sont disponibles que tant que l'option est activée et que vous disposez d'un historique de conversation. Si vous supprimez votre historique, il ne tiendra pas compte des conversations antérieures.
Laissez l'assistant de chat naviguer sur le Web en temps réel afin de trouver des informations plus précises et à jour, ainsi que des données complètes sur ce que vous recherchez.
L'outil « Créer une image » vous permet de générer des images à partir du chat, selon le modèle de chat que vous utilisez : Standard, Genius Pro ou Super Genius Pro. Il vous suffit de saisir la consigne correspondant à ce que vous souhaitez générer, et le tour est joué !
Confiez des tâches concrètes à l'assistant de chat ; il peut vous être d'une grande aide dans vos tâches quotidiennes. Vous souhaitez acheter quelque chose que vous avez oublié à la dernière minute ? Vous recherchez les meilleurs prix pour des billets d'avion ? Il suffit de lui demander, et il s'en chargera pour vous.
Cette version constitue une amélioration par rapport au Chat IA en mode Standard : elle offre des performances supérieures, des réponses plus détaillées et une intelligence accrue.
Ce modèle est conçu pour offrir de meilleures performances que le mode Genius dans les tâches nécessitant un raisonnement avancé, une analyse logique et la résolution de problèmes mathématiques. Bien que son temps de réponse estimé puisse être légèrement plus long, il offre une plus grande profondeur, une compréhension contextuelle plus large et des réponses plus complètes, ce qui se traduit par une expérience plus performante et plus fiable pour les tâches complexes.
Grâce à cette extension, vous pouvez résoudre des problèmes de mathématiques et de sciences, notamment des équations, des dérivées, des problèmes écrits, de l'algèbre, du calcul différentiel et intégral, et bien plus encore ! Ce mode est idéal aussi bien pour résoudre des problèmes techniques que pour vérifier un devoir sur lequel vous avez des doutes.
Le Générateur d'images IA est notre outil de conversion de texte en image qui vous permet d'explorer votre créativité et de créer à l'aide de l'intelligence artificielle. Essayez de décrire une image de l'endroit de vos rêves ou de tout ce que vous désirez, et laissez l'IA s'occuper du reste !
Pour générer des images de haute qualité, choisissez votre consigne, puis sélectionnez l'un des plus de 100 styles et formes proposés.
Pour plus de détails, une qualité artistique supérieure et des images qui respectent mieux vos instructions que la HD, avec une résolution pouvant atteindre 1 024 × 1 024 px, et la possibilité de les utiliser au format horizontal, carré ou vertical.
Pour des images 2K en ultra-haute résolution aux détails époustouflants. Que vous souhaitiez simplement faire des essais ou créer quelque chose d'exceptionnel, cet outil propose un mode adapté à chaque besoin. Ce format est idéal si vous souhaitez imprimer l'image.
L'éditeur de photos IA est un outil qui vous permet de laisser libre cours à votre créativité et de recréer ou de modifier n'importe quelle image, qu'elle soit récente ou ancienne, à l'aide d'une description textuelle des modifications que vous souhaitez apporter.
Vous pouvez commencer simplement en téléchargeant une image ou une URL, en saisissant la consigne contenant les informations que vous souhaitez modifier ou ajouter, puis en lançant la génération : le tour est joué. Pour obtenir les meilleurs résultats, veillez à ce que vos instructions soient précises et concises, par exemple « rendez le ciel rouge » ou « ajoutez des fleurs à l'arrière-plan ».
Vous pouvez également créer une modification en utilisant jusqu'à 3 images de référence, en donnant des exemples tels que :
Notre Générateur de vidéos IA transforme vos images et vos textes en vidéos. Vous pouvez l'utiliser pour créer des vidéos éducatives, divertissantes ou de courts récits.
En téléchargeant votre contenu sur le générateur de vidéos, vous accordez à DeepAI le droit de diffuser publiquement l'image et la vidéo. Veuillez vous assurer de bien comprendre le fonctionnement de ce service en lisant les informations ci-dessous.
Notre abonnement DeepAI Pro comprend 25 secondes de génération de vidéo HD par mois. Les secondes de vidéo HD supplémentaires sont déduites de votre crédit au tarif de 0,20 $ par seconde. Le mode Hollywood (avec une résolution de 2K) comprend 8 secondes de vidéo par mois, et les vidéos supplémentaires en mode Hollywood sont déduites de vos crédits au tarif de 0,30 $ par seconde.
Un mode de génération polyvalent conçu pour créer des objets du quotidien, des environnements et des scènes courantes réalistes, avec des images nettes et des détails fins. Il est particulièrement performant pour les sujets concrets et familiers tels que les appareils électroménagers, le mobilier, les chambres à coucher, les cuisines, les bureaux, les salons et les objets du quotidien. Le meilleur rapport qualité-prix à 0,20 $ par seconde.
Des vidéos de qualité cinématographique, avec un son et des images de niveau professionnel. Une qualité créative optimale à 0,30 $ par seconde.
Vous pouvez générer des vidéos en utilisant une image comme guide. Notre Générateur de vidéos IA utilise cette image comme point de départ pour créer la scène et comprend mieux votre consigne afin de vous proposer un résultat aussi proche que possible de l'image, en tenant compte du texte saisi.
Avez-vous une référence que vous aimeriez utiliser dans votre projet ? Vous pouvez l'ajouter, et le générateur de vidéos IA s'appuiera sur votre consigne pour créer le meilleur résultat possible à partir de celle-ci.
Transformez votre vidéo grâce à l'intelligence artificielle. Ajoutez, modifiez ou supprimez des éléments de vos scènes à l'aide d'instructions simples et donnez à votre contenu exactement le résultat que vous recherchez.
Le « Website Builder » est une plateforme en ligne conçue pour simplifier la création, la personnalisation et la gestion de sites web sans nécessiter de connaissances techniques ou de programmation avancées.
Il offre aux utilisateurs une interface intuitive et un ensemble de composants configurables qui leur permettent de créer des sites web adaptatifs, de personnaliser les mises en page et le contenu, de gérer les pages et d'ajuster l'aspect visuel de leurs projets.
Découvrez chacun de nos outils, et vous verrez qu'avec vos connaissances et votre imagination, vous pouvez créer des choses incroyables !
Créez sans effort une musique unique grâce au générateur musical de DeepAI. Idéal pour les bruitages, les effets sonores et les pistes d'accompagnement de vos vidéos. Donnez une nouvelle dimension à vos projets grâce à des ambiances sonores générées sur mesure, adaptées à vos besoins.
Si vous disposez de DeepAI Pro, vos 100 premières chansons sont gratuites chaque mois ; les chansons supplémentaires coûtent 0,10 $ chacune.
Avez-vous une image dont vous souhaitez supprimer l'arrière-plan, ou bien cet arrière-plan ne vous plaît-il tout simplement pas ? Essayez cet outil : il le supprimera sans aucun effort.
Souhaitez-vous découvrir à quoi ressemblerait une vieille photo en noir et blanc ? Ajoutez vos vieilles photos de famille et redonnez-leur vie en les mettant en couleur.
L'outil Super-résolution utilise l'apprentissage automatique pour clarifier, accentuer la netteté et augmenter la résolution de la photo sans en altérer le contenu ni les caractéristiques distinctives. Les images floues sont malheureusement courantes et constituent un problème tant pour les professionnels que pour les amateurs. Super-résolution utilise des techniques d'apprentissage automatique pour agrandir les images en une fraction de seconde.
Il y a quelque chose qui ne vous plaît pas sur la photo ? Cet outil vous permet de modifier facilement des éléments ; en précisant exactement ce que vous souhaitez, vous pouvez améliorer votre image.
Vous ne savez pas si une image est authentique ? Téléchargez-la pour déterminer si elle a été générée par une IA ou retouchée numériquement ; les résultats sont probabilistes et ne doivent pas être considérés comme une preuve définitive.
DeepAI Pro est un abonnement qui vous donne accès à la gamme complète d'outils DeepAI pour 9.99 $ par mois ou 89.99 $ par an, avec des quotas renouvelés chaque mois. Vous pouvez également ajouter des crédits pour générer davantage de contenu lorsque les quotas de votre cycle en cours sont épuisés. Pour plus d'informations, consultez notre page dédiée aux tarifs, disponible à l'adresse https://deepai.org/pricing.
Tarification : les appels API sont inclus dans votre abonnement DeepAI Pro. Chaque génération est décomptée de votre quota mensuel ou déduite du solde de votre portefeuille prépayé.
DeepAI propose toute une gamme d'API d'image. Chacune d'entre elles correspond à un point de terminaison HTTP simple que vous pouvez appeler depuis n'importe quel langage, par exemple :Chaque API DeepAI correspond à une requête unique de type « POST ». Envoyez les données d'entrée du modèle sous la forme « multipart/form-data » et authentifiez-vous à l'aide de votre clé API dans un en-tête de requête.
Connectez-vous et copiez votre clé depuis le tableau de bord de votre compte. L'accès à l'API nécessite un abonnement DeepAI Pro. Gardez votre clé secrète : considérez-la comme un mot de passe et ne la divulguez jamais dans le code côté client.
Transmettez votre clé dans l'en-tête « api-key » et les données d'entrée du modèle sous forme de champs de formulaire. L'URL du point de terminaison est https://api.deepai.org/api/<model>, où <model> correspond à l'identifiant du modèle (indiqué pour chaque modèle ci-dessous).
curl -X POST https://api.deepai.org/api/text2img \
-H 'api-key:YOUR_API_KEY' \
-F 'text=a serene mountain lake at sunrise'
En cas de réussite, vous recevez une réponse 200 OK avec un corps JSON. output_url renvoie vers le fichier généré et id correspond à l'identifiant unique de la tâche :
{
"id": "59a0e8a9-...",
"output_url": "https://api.deepai.org/job-view-file/.../output.jpg"
}
Les erreurs renvoient un code d'état différent de 200 et un corps JSON contenant un message de type « err » ou « status » :
Générez des vidéos à partir d'une consigne textuelle ou d'une image source. La génération de vidéos prend plusieurs minutes ; contrairement aux API d'images, elle est donc asynchrone : envoyez une tâche, recevez son id, puis interrogez le point de terminaison d'état jusqu'à ce que la vidéo soit prête.
Tarification : la génération de vidéos nécessite DeepAI Pro et est facturée à la seconde de vidéo générée. Le coût est d'abord prélevé sur votre quota mensuel (25 secondes standard, 8 secondes en Mode Hollywood), puis sur votre portefeuille prépayé (20¢ par seconde standard, 30¢ par seconde en Mode Hollywood). Voir la tarification.
Texte vers vidéo : POST https://api.deepai.org/video-api/text2video
De l'image à la vidéo : POST https://api.deepai.org/video-api/img2video
État de la tâche : GET https://api.deepai.org/video-api/status/<id>
Envoyez les paramètres sous forme de requêtes « multipart/form-data », « form-urlencoded » ou dans le corps d'une requête « application/json » (avec « image » sous forme d'URL ou de données base64), en indiquant votre clé dans l'en-tête « api-key », exactement comme pour les API d'images. Cet en-tête est obligatoire pour chaque appel, y compris les requêtes de vérification d'état ; une session de navigateur n'authentifie pas ces routes.
| Paramètre | Type | Obligatoire | Par défaut |
|---|---|---|---|
prompt | string | text2video : Oui img2video : Non | — |
image | fichier, URL ou base64 | Uniquement « img2video » : Oui | — |
mode | string | Non | hd |
duration | integer | Non | 5 |
shape | string | Non | auto |
prompt — ce qu'il faut générer, jusqu'à 3 000 caractères (les consignes plus longues sont rejetées avec un message d'erreur « 400 »). Facultatif pour la fonction « img2video » (l'image source suffit à elle seule).
image — l'image source pour img2video : téléchargez-la via un champ de fichier, indiquez une URL http(s) publique ou envoyez des données en base64 (brutes ou sous forme d'URL data:image/...;base64,). Taille maximale : 20 Mo ; l'image doit pouvoir être décodée. Les redirections sont prises en compte.
mode — hd pour les vidéos standard, ou hollywood pour les vidéos 2K de qualité cinématographique.
duration — durée de la vidéo générée en secondes, comprise entre 5 et 15. La facturation s'effectue à la seconde.
shape — square, landscape, standard, vertical, portrait ou auto. Avec « auto », img2video reprend le format de l'image source, tandis que text2video utilise le format paysage. En mode « hollywood », img2video conserve toujours le format de l'image source ; « shape » doit donc être défini sur « auto » dans ce cas.
curl -X POST https://api.deepai.org/video-api/text2video \
-H 'api-key:YOUR_API_KEY' \
-F 'prompt=a golden retriever surfing a wave at sunset' \
-F 'mode=hd' \
-F 'duration=5' \
-F 'shape=landscape'
Convertir une image en vidéo, à partir d'un fichier ou d'une URL :
curl -X POST https://api.deepai.org/video-api/img2video \
-H 'api-key:YOUR_API_KEY' \
-F 'image=@/path/to/photo.jpg' \
-F 'prompt=the camera slowly zooms in'
Une soumission réussie renvoie l'identifiant de la tâche à interroger :
{
"id": "59a0e8a9-...",
"status": "processing"
}
Interrogez le point de terminaison d'état toutes les quelques secondes. status vaut processing, completed ou failed :
curl https://api.deepai.org/video-api/status/59a0e8a9-... \
-H 'api-key:YOUR_API_KEY'
{"status": "processing"}
{"status": "completed", "output_url": "https://...mp4"}
{"status": "failed", "error": "..."}
Un exemple complet en Python :
import time, requests
headers = {'api-key': 'YOUR_API_KEY'}
job = requests.post(
'https://api.deepai.org/video-api/text2video',
data={'prompt': 'a golden retriever surfing a wave at sunset',
'mode': 'hd', 'duration': 5, 'shape': 'landscape'},
headers=headers).json()
while True:
status = requests.get(
'https://api.deepai.org/video-api/status/' + job['id'],
headers=headers).json()
if status['status'] == 'completed':
print(status['output_url'])
break
if status['status'] == 'failed':
raise RuntimeError(status['error'])
time.sleep(5)
output_url) est disponible pendant une heure après la fin de l'opération, après quoi le point de terminaison de statut renvoie un code 404. Téléchargez la vidéo une fois celle-ci terminée.401 » signifie que l'en-tête « api-key » est manquant ou invalide. Le message « 403 » signifie que le compte ne dispose d'aucun abonnement DeepAI Pro actif.402 » lors de la soumission signifie que le solde de votre portefeuille ne suffit pas à couvrir le coût de la vidéo (le corps de la réponse indique le coût et votre solde) ou que votre compte est verrouillé à la suite d'un échec de paiement. Ajoutez des crédits ou activez la recharge automatique dans votre tableau de bord.400 », et les contenus signalés par le fournisseur de vidéos lors de la génération apparaissent sous la mention « {"status": "failed", "error": "NSFW detected"} ».Il s'agit d'un générateur d'images basé sur l'IA. Il crée une image de toutes pièces à partir d'une description textuelle.
Point de terminaison : POST https://api.deepai.org/api/text2img
| Paramètre | Type | Obligatoire | Par défaut |
|---|---|---|---|
text |
text | Oui | — |
text — une chaîne de caractères décrivant ce qu'il faut générer, par exemple « Une nuit étoilée au-dessus d'un lac serein » ou « Le portrait d'un vieux pirate ».
width, height — transmettez une chaîne de caractères, par exemple « 256 » ou « 768 » (valeur par défaut : 512). Utilisez des valeurs comprises entre 128 et 1536, par multiples de 32. Recommandé pour les images Standard : 1024x576, 1024x720, 512x512, 768x1024, 576x1024. Recommandé pour les images HD : 1216x832, 1152x896, 1024x1024, 896x1152, 832x1216. Les valeurs supérieures à environ 700 ou inférieures à 256 peuvent produire des résultats inhabituels.
image_generator_version — « standard » (par défaut), « hd », « genius » ou « super_genius ».
resolution — « 2k » (par défaut) ou « 4k ». N'est utilisé que lorsque la valeur de « image_generator_version » est « super_genius ».
genius_preference — « anime », « photography », « graphic » ou « cinematic ». Utilisé uniquement lorsque image_generator_version est « genius ».
negative_prompt — une chaîne de caractères décrivant ce qu’il faut supprimer de l’image ; utile pour améliorer la qualité et les détails. Exemples : anatomie incorrecte, flou, recadrage, déformation, défiguration, doublon, membres supplémentaires, doigts soudés, artefacts JPEG, mauvaise qualité, faible résolution, mains déformées, hors cadre, signature, texte, filigrane, qualité médiocre.
Exemples Générateur d'images IA cURL
# Example posting a text URL:
curl \
-F 'text=YOUR_TEXT_HERE' \
-H 'api-key:YOUR_API_KEY' \
https://api.deepai.org/api/text2img
# Example posting a local text file:
curl \
-F 'text=YOUR_TEXT_HERE' \
-H 'api-key:YOUR_API_KEY' \
https://api.deepai.org/api/text2img
# Example directly sending a text string:
curl \
-F 'text=YOUR_TEXT_HERE' \
-H 'api-key:YOUR_API_KEY' \
https://api.deepai.org/api/text2img
Exemples Générateur d'images IA Javascript
// Example posting a text URL:
(async function() {
const resp = await fetch('https://api.deepai.org/api/text2img', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'api-key': 'YOUR_API_KEY'
},
body: JSON.stringify({
text: "YOUR_TEXT_HERE",
})
});
const data = await resp.json();
console.log(data);
})()
// Example posting file picker input text (Browser only):
document.getElementById('yourFileInputId').addEventListener('change', async function() {
const formData = new FormData();
formData.append('text', 'YOUR_TEXT_HERE');
const resp = await fetch('https://api.deepai.org/api/text2img', {
method: 'POST',
headers: {
'api-key': 'YOUR_API_KEY'
},
body: formData
});
const data = await resp.json();
console.log(data);
});
// Example posting a local text file (Node.js only):
const fs = require('fs');
(async function() {
const formData = new FormData();
formData.append('text', 'YOUR_TEXT_HERE');
const resp = await fetch('https://api.deepai.org/api/text2img', {
method: 'POST',
headers: {
'api-key': 'YOUR_API_KEY'
},
body: formData
});
const data = await resp.json();
console.log(data);
});
// Example directly sending a text string:
(async function() {
const resp = await fetch('https://api.deepai.org/api/text2img', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'api-key': 'YOUR_API_KEY'
},
body: JSON.stringify({
text: "YOUR_TEXT_HERE",
})
});
const data = await resp.json();
console.log(data);
})()
Exemples Générateur d'images IA Python
# Example posting a text URL:
import requests
r = requests.post(
"https://api.deepai.org/api/text2img",
data={
'text': 'YOUR_TEXT_HERE',
},
headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())
# Example posting a local text file:
import requests
r = requests.post(
"https://api.deepai.org/api/text2img",
data={
'text': 'YOUR_TEXT_HERE',
},
headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())
# Example directly sending a text string:
import requests
r = requests.post(
"https://api.deepai.org/api/text2img",
data={
'text': 'YOUR_TEXT_HERE',
},
headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())
Exemples Générateur d'images IA Ruby
# Example posting a text URL:
require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/text2img', timeout: 600,
headers: {'api-key' => 'YOUR_API_KEY'},
payload: {
'text' => 'YOUR_TEXT_HERE',
}
)
puts r
# Example posting a local text file:
require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/text2img', timeout: 600,
headers: {'api-key' => 'YOUR_API_KEY'},
payload: {
'text' => 'YOUR_TEXT_HERE',
}
)
puts r
# Example directly sending a text string:
require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/text2img', timeout: 600,
headers: {'api-key' => 'YOUR_API_KEY'},
payload: {
'text' => 'YOUR_TEXT_HERE',
}
)
puts r
Exemples Générateur d'images IA Php
// Example posting a text URL:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)
use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;
$client = new Client();
$headers = [
'api-key' => 'YOUR_API_KEY'
];
$options = [
'multipart' => [
[
'name' => 'text',
'contents' => 'YOUR_TEXT_HERE'
],
]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/text2img', $headers);
try {
$res = $client->sendAsync($request, $options)->wait();
echo $res->getBody();
} catch (Exception $e) {
echo 'Error: ' . $e->getMessage();
}
?>
// Example posting a local text file:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)
use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;
$client = new Client();
$headers = [
'api-key' => 'YOUR_API_KEY'
];
$options = [
'multipart' => [
[
'name' => 'text',
'contents' => 'YOUR_TEXT_HERE'
],
]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/text2img', $headers);
try {
$res = $client->sendAsync($request, $options)->wait();
echo $res->getBody();
} catch (Exception $e) {
echo 'Error: ' . $e->getMessage();
}
?>
// Example directly sending a text string:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)
use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;
$client = new Client();
$headers = [
'api-key' => 'YOUR_API_KEY'
];
$options = [
'multipart' => [
[
'name' => 'text',
'contents' => 'YOUR_TEXT_HERE'
],
]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/text2img', $headers);
try {
$res = $client->sendAsync($request, $options)->wait();
echo $res->getBody();
} catch (Exception $e) {
echo 'Error: ' . $e->getMessage();
}
?>
Exemples Générateur d'images IA Go
// Example posting a text URL:
package main
import (
"bytes"
"encoding/json"
"fmt"
"io"
"net/http"
)
func main() {
url := "https://api.deepai.org/api/text2img"
payload := map[string]string{
"text": "YOUR_TEXT_HERE",
}
jsonData, _ := json.Marshal(payload)
req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
req.Header.Set("Content-Type", "application/json")
req.Header.Set("api-key", "YOUR_API_KEY")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(string(body))
}
// Example posting a local text file:
package main
import (
"bytes"
"fmt"
"io"
"mime/multipart"
"net/http"
"os"
)
func main() {
url := "https://api.deepai.org/api/text2img"
var b bytes.Buffer
w := multipart.NewWriter(&b)
w.WriteField("text", "YOUR_TEXT_HERE")
if err := w.Close(); err != nil {
panic(err)
}
req, _ := http.NewRequest("POST", url, &b)
req.Header.Set("Content-Type", w.FormDataContentType())
req.Header.Set("api-key", "YOUR_API_KEY")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(string(body))
}
// Example directly sending a text string:
package main
import (
"bytes"
"encoding/json"
"fmt"
"io"
"net/http"
)
func main() {
url := "https://api.deepai.org/api/text2img"
payload := map[string]string{
"text": "YOUR_TEXT_HERE",
}
jsonData, _ := json.Marshal(payload)
req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
req.Header.Set("Content-Type", "application/json")
req.Header.Set("api-key", "YOUR_API_KEY")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(string(body))
}
Exemples Générateur d'images IA Java
// Example posting a text URL:
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.URI;
public class Main {
public static void main(String[] args) throws Exception {
HttpClient client = HttpClient.newHttpClient();
String json = "{" +
"\"text\": \"YOUR_TEXT_HERE\"" +
"}";
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://api.deepai.org/api/text2img"))
.header("Content-Type", "application/json")
.header("api-key", "YOUR_API_KEY")
.POST(HttpRequest.BodyPublishers.ofString(json))
.build();
HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());
}
}
// Example posting a local text file:
// Add to build.gradle: implementation 'com.squareup.okhttp3:okhttp:4.12.0'
import okhttp3.*;
import java.io.File;
import java.io.IOException;
public class Main {
public static void main(String[] args) throws IOException {
OkHttpClient client = new OkHttpClient();
RequestBody requestBody = new MultipartBody.Builder()
.setType(MultipartBody.FORM)
.addFormDataPart("text", "YOUR_TEXT_HERE")
.build();
Request request = new Request.Builder()
.url("https://api.deepai.org/api/text2img")
.addHeader("api-key", "YOUR_API_KEY")
.post(requestBody)
.build();
try (Response response = client.newCall(request).execute()) {
System.out.println(response.body().string());
}
}
}
// Example directly sending a text string:
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.URI;
public class Main {
public static void main(String[] args) throws Exception {
HttpClient client = HttpClient.newHttpClient();
String json = "{" +
"\"text\": \"YOUR_TEXT_HERE\"" +
"}";
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://api.deepai.org/api/text2img"))
.header("Content-Type", "application/json")
.header("api-key", "YOUR_API_KEY")
.POST(HttpRequest.BodyPublishers.ofString(json))
.build();
HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());
}
}
Exemples Générateur d'images IA C#
// Example posting a text URL:
using System;
using System.Net.Http;
using System.Text;
using System.Text.Json;
using System.Threading.Tasks;
class Program
{
static async Task Main()
{
using var client = new HttpClient();
client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");
var payload = new
{
text = "YOUR_TEXT_HERE",
};
var json = JsonSerializer.Serialize(payload);
var content = new StringContent(json, Encoding.UTF8, "application/json");
var response = await client.PostAsync("https://api.deepai.org/api/text2img", content);
var result = await response.Content.ReadAsStringAsync();
Console.WriteLine(result);
}
}
// Example posting a local text file:
using System;
using System.IO;
using System.Net.Http;
using System.Threading.Tasks;
class Program
{
static async Task Main()
{
using var client = new HttpClient();
client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");
using var form = new MultipartFormDataContent();
form.Add(new StringContent("YOUR_TEXT_HERE"), "text");
var response = await client.PostAsync("https://api.deepai.org/api/text2img", form);
var result = await response.Content.ReadAsStringAsync();
Console.WriteLine(result);
}
}
// Example directly sending a text string:
using System;
using System.Net.Http;
using System.Text;
using System.Text.Json;
using System.Threading.Tasks;
class Program
{
static async Task Main()
{
using var client = new HttpClient();
client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");
var payload = new
{
text = "YOUR_TEXT_HERE",
};
var json = JsonSerializer.Serialize(payload);
var content = new StringContent(json, Encoding.UTF8, "application/json");
var response = await client.PostAsync("https://api.deepai.org/api/text2img", content);
var result = await response.Content.ReadAsStringAsync();
Console.WriteLine(result);
}
}
Exemples Générateur d'images IA Swift
// Example posting a text URL:
import Foundation
let url = URL(string: "https://api.deepai.org/api/text2img")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")
let payload: [String: Any] = [
"text": "YOUR_TEXT_HERE",
]
request.httpBody = try? JSONSerialization.data(withJSONObject: payload)
let task = URLSession.shared.dataTask(with: request) { data, response, error in
if let data = data {
print(String(data: data, encoding: .utf8) ?? "")
}
}
task.resume()
// Keep the program running for async request
RunLoop.main.run()
// Example posting a local text file:
import Foundation
let url = URL(string: "https://api.deepai.org/api/text2img")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")
let boundary = UUID().uuidString
request.setValue("multipart/form-data; boundary=\(boundary)", forHTTPHeaderField: "Content-Type")
var body = Data()
body.append("--\(boundary)\r\n".data(using: .utf8)!)
body.append("Content-Disposition: form-data; name=\"text\"\r\n\r\n".data(using: .utf8)!)
body.append("YOUR_TEXT_HERE".data(using: .utf8)!)
body.append("\r\n".data(using: .utf8)!)
body.append("--\(boundary)--\r\n".data(using: .utf8)!)
request.httpBody = body
let task = URLSession.shared.dataTask(with: request) { data, response, error in
if let data = data {
print(String(data: data, encoding: .utf8) ?? "")
}
}
task.resume()
RunLoop.main.run()
// Example directly sending a text string:
import Foundation
let url = URL(string: "https://api.deepai.org/api/text2img")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")
let payload: [String: Any] = [
"text": "YOUR_TEXT_HERE",
]
request.httpBody = try? JSONSerialization.data(withJSONObject: payload)
let task = URLSession.shared.dataTask(with: request) { data, response, error in
if let data = data {
print(String(data: data, encoding: .utf8) ?? "")
}
}
task.resume()
RunLoop.main.run()
Exemples Générateur d'images IA Kotlin
// Example posting a text URL:
import java.net.URI
import java.net.http.HttpClient
import java.net.http.HttpRequest
import java.net.http.HttpResponse
fun main() {
val client = HttpClient.newHttpClient()
val json = """{
"text": "YOUR_TEXT_HERE"
}"""
val request = HttpRequest.newBuilder()
.uri(URI.create("https://api.deepai.org/api/text2img"))
.header("Content-Type", "application/json")
.header("api-key", "YOUR_API_KEY")
.POST(HttpRequest.BodyPublishers.ofString(json))
.build()
val response = client.send(request, HttpResponse.BodyHandlers.ofString())
println(response.body())
}
// Example posting a local text file:
// Add to build.gradle.kts: implementation("com.squareup.okhttp3:okhttp:4.12.0")
import okhttp3.*
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.RequestBody.Companion.asRequestBody
import java.io.File
fun main() {
val client = OkHttpClient()
val requestBody = MultipartBody.Builder()
.setType(MultipartBody.FORM)
.addFormDataPart("text", "YOUR_TEXT_HERE")
.build()
val request = Request.Builder()
.url("https://api.deepai.org/api/text2img")
.addHeader("api-key", "YOUR_API_KEY")
.post(requestBody)
.build()
client.newCall(request).execute().use { response ->
println(response.body?.string())
}
}
// Example directly sending a text string:
import java.net.URI
import java.net.http.HttpClient
import java.net.http.HttpRequest
import java.net.http.HttpResponse
fun main() {
val client = HttpClient.newHttpClient()
val json = """{
"text": "YOUR_TEXT_HERE"
}"""
val request = HttpRequest.newBuilder()
.uri(URI.create("https://api.deepai.org/api/text2img"))
.header("Content-Type", "application/json")
.header("api-key", "YOUR_API_KEY")
.POST(HttpRequest.BodyPublishers.ofString(json))
.build()
val response = client.send(request, HttpResponse.BodyHandlers.ofString())
println(response.body())
}
Exemples Générateur d'images IA Rust
// Example posting a text URL:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }
// serde_json = "1"
use reqwest::header::HeaderMap;
use std::collections::HashMap;
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let client = reqwest::Client::new();
let mut headers = HeaderMap::new();
headers.insert("api-key", "YOUR_API_KEY".parse()?);
let mut payload = HashMap::new();
payload.insert("text", "YOUR_TEXT_HERE");
let response = client
.post("https://api.deepai.org/api/text2img")
.headers(headers)
.json(&payload)
.send()
.await?;
println!("{}", response.text().await?);
Ok(())
}
// Example posting a local text file:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }
use reqwest::multipart;
use std::fs;
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let client = reqwest::Client::new();
let form = multipart::Form::new()
.text("text", "YOUR_TEXT_HERE");
let response = client
.post("https://api.deepai.org/api/text2img")
.header("api-key", "YOUR_API_KEY")
.multipart(form)
.send()
.await?;
println!("{}", response.text().await?);
Ok(())
}
// Example directly sending a text string:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }
// serde_json = "1"
use reqwest::header::HeaderMap;
use std::collections::HashMap;
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let client = reqwest::Client::new();
let mut headers = HeaderMap::new();
headers.insert("api-key", "YOUR_API_KEY".parse()?);
let mut payload = HashMap::new();
payload.insert("text", "YOUR_TEXT_HERE");
let response = client
.post("https://api.deepai.org/api/text2img")
.headers(headers)
.json(&payload)
.send()
.await?;
println!("{}", response.text().await?);
Ok(())
}
Exemples Générateur d'images IA TypeScript
// Example posting a text URL:
interface ApiResponse {
// Define your response type here
[key: string]: unknown;
}
async function callApi(): Promise<ApiResponse> {
const response = await fetch('https://api.deepai.org/api/text2img', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'api-key': 'YOUR_API_KEY'
},
body: JSON.stringify({
text: 'YOUR_TEXT_HERE',
})
});
const data: ApiResponse = await response.json();
console.log(data);
return data;
}
callApi();
// Example posting a local text file (Node.js with form-data package):
// npm install form-data
import * as fs from 'fs';
import FormData from 'form-data';
interface ApiResponse {
[key: string]: unknown;
}
async function uploadFile(): Promise<ApiResponse> {
const formData = new FormData();
formData.append('text', 'YOUR_TEXT_HERE');
const response = await fetch('https://api.deepai.org/api/text2img', {
method: 'POST',
headers: {
...formData.getHeaders(),
'api-key': 'YOUR_API_KEY'
},
body: formData as unknown as BodyInit
});
const data: ApiResponse = await response.json();
console.log(data);
return data;
}
uploadFile();
// Example directly sending a text string:
interface ApiResponse {
[key: string]: unknown;
}
async function callApi(): Promise<ApiResponse> {
const response = await fetch('https://api.deepai.org/api/text2img', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'api-key': 'YOUR_API_KEY'
},
body: JSON.stringify({
text: 'YOUR_TEXT_HERE',
})
});
const data: ApiResponse = await response.json();
console.log(data);
return data;
}
callApi();
Exemples Générateur d'images IA Dart
// Example posting a text URL:
// Add to pubspec.yaml: http: ^1.1.0
import 'dart:convert';
import 'package:http/http.dart' as http;
Future<void> main() async {
final response = await http.post(
Uri.parse('https://api.deepai.org/api/text2img'),
headers: {
'Content-Type': 'application/json',
'api-key': 'YOUR_API_KEY',
},
body: jsonEncode({
'text': 'YOUR_TEXT_HERE',
}),
);
print(response.body);
}
// Example posting a local text file:
// Add to pubspec.yaml: http: ^1.1.0
import 'dart:io';
import 'package:http/http.dart' as http;
Future<void> main() async {
var request = http.MultipartRequest(
'POST',
Uri.parse('https://api.deepai.org/api/text2img'),
);
request.headers['api-key'] = 'YOUR_API_KEY';
request.fields['text'] = 'YOUR_TEXT_HERE';
var response = await request.send();
var responseBody = await response.stream.bytesToString();
print(responseBody);
}
// Example directly sending a text string:
// Add to pubspec.yaml: http: ^1.1.0
import 'dart:convert';
import 'package:http/http.dart' as http;
Future<void> main() async {
final response = await http.post(
Uri.parse('https://api.deepai.org/api/text2img'),
headers: {
'Content-Type': 'application/json',
'api-key': 'YOUR_API_KEY',
},
body: jsonEncode({
'text': 'YOUR_TEXT_HERE',
}),
);
print(response.body);
}
Exemples Générateur d'images IA PowerShell
# Example posting a text URL:
$r = Invoke-WebRequest `
-Uri https://api.deepai.org/api/text2img `
-Method Post `
-Form @{
text='YOUR_TEXT_HERE'
} `
-Headers @{
'api-key'='YOUR_API_KEY'
}
$r.Content
# Example posting a local text file:
$r = Invoke-WebRequest `
-Uri https://api.deepai.org/api/text2img `
-Method Post `
-Form @{
text='YOUR_TEXT_HERE'
} `
-Headers @{
'api-key'='YOUR_API_KEY'
}
$r.Content
# Example directly sending a text string:
$r = Invoke-WebRequest `
-Uri https://api.deepai.org/api/text2img `
-Method Post `
-Form @{
text='YOUR_TEXT_HERE'
} `
-Headers @{
'api-key'='YOUR_API_KEY'
}
$r.Content
Supprimer l'arrière-plan d'une image à l'aide de l'IA.
Point de terminaison : POST https://api.deepai.org/api/background-remover
| Paramètre | Type | Obligatoire | Par défaut |
|---|---|---|---|
image |
image | Oui | — |
Exemples Outil de suppression d'arrière-plan cURL
# Example posting a image URL:
curl \
-F 'image=YOUR_IMAGE_URL' \
-H 'api-key:YOUR_API_KEY' \
https://api.deepai.org/api/background-remover
# Example posting a local image file:
curl \
-F 'image=@/path/to/your/file.jpg' \
-H 'api-key:YOUR_API_KEY' \
https://api.deepai.org/api/background-remover
Exemples Outil de suppression d'arrière-plan Javascript
// Example posting a image URL:
(async function() {
const resp = await fetch('https://api.deepai.org/api/background-remover', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'api-key': 'YOUR_API_KEY'
},
body: JSON.stringify({
image: "YOUR_IMAGE_URL",
})
});
const data = await resp.json();
console.log(data);
})()
// Example posting file picker input image (Browser only):
document.getElementById('yourFileInputId').addEventListener('change', async function() {
const formData = new FormData();
formData.append('image', this.files[0]);
const resp = await fetch('https://api.deepai.org/api/background-remover', {
method: 'POST',
headers: {
'api-key': 'YOUR_API_KEY'
},
body: formData
});
const data = await resp.json();
console.log(data);
});
// Example posting a local image file (Node.js only):
const fs = require('fs');
(async function() {
const formData = new FormData();
const jpgFileStream = fs.createReadStream("/path/to/your/file.jpg");
formData.append('image', jpgFileStream);
const resp = await fetch('https://api.deepai.org/api/background-remover', {
method: 'POST',
headers: {
'api-key': 'YOUR_API_KEY'
},
body: formData
});
const data = await resp.json();
console.log(data);
});
Exemples Outil de suppression d'arrière-plan Python
# Example posting a image URL:
import requests
r = requests.post(
"https://api.deepai.org/api/background-remover",
data={
'image': 'YOUR_IMAGE_URL',
},
headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())
# Example posting a local image file:
import requests
r = requests.post(
"https://api.deepai.org/api/background-remover",
files={
'image': open('/path/to/your/file.jpg', 'rb'),
},
headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())
Exemples Outil de suppression d'arrière-plan Ruby
# Example posting a image URL:
require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/background-remover', timeout: 600,
headers: {'api-key' => 'YOUR_API_KEY'},
payload: {
'image' => 'YOUR_IMAGE_URL',
}
)
puts r
# Example posting a local image file:
require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/background-remover', timeout: 600,
headers: {'api-key' => 'YOUR_API_KEY'},
payload: {
'image' => File.new('/path/to/your/file.jpg'),
}
)
puts r
Exemples Outil de suppression d'arrière-plan Php
// Example posting a image URL:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)
use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;
$client = new Client();
$headers = [
'api-key' => 'YOUR_API_KEY'
];
$options = [
'multipart' => [
[
'name' => 'image',
'contents' => 'YOUR_IMAGE_URL'
],
]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/background-remover', $headers);
try {
$res = $client->sendAsync($request, $options)->wait();
echo $res->getBody();
} catch (Exception $e) {
echo 'Error: ' . $e->getMessage();
}
?>
// Example posting a local image file:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)
use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;
$client = new Client();
$headers = [
'api-key' => 'YOUR_API_KEY'
];
$options = [
'multipart' => [
[
'name' => 'image',
'contents' => Utils::tryFopen('/path/to/your/file.jpg', 'r')
],
]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/background-remover', $headers);
try {
$res = $client->sendAsync($request, $options)->wait();
echo $res->getBody();
} catch (Exception $e) {
echo 'Error: ' . $e->getMessage();
}
?>
Exemples Outil de suppression d'arrière-plan Go
// Example posting a image URL:
package main
import (
"bytes"
"encoding/json"
"fmt"
"io"
"net/http"
)
func main() {
url := "https://api.deepai.org/api/background-remover"
payload := map[string]string{
"image": "YOUR_IMAGE_URL",
}
jsonData, _ := json.Marshal(payload)
req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
req.Header.Set("Content-Type", "application/json")
req.Header.Set("api-key", "YOUR_API_KEY")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(string(body))
}
// Example posting a local image file:
package main
import (
"bytes"
"fmt"
"io"
"mime/multipart"
"net/http"
"os"
)
func main() {
url := "https://api.deepai.org/api/background-remover"
var b bytes.Buffer
w := multipart.NewWriter(&b)
imageFile, _ := os.Open("/path/to/your/file.jpg")
defer imageFile.Close()
imageWriter, _ := w.CreateFormFile("image", "file.jpg")
io.Copy(imageWriter, imageFile)
if err := w.Close(); err != nil {
panic(err)
}
req, _ := http.NewRequest("POST", url, &b)
req.Header.Set("Content-Type", w.FormDataContentType())
req.Header.Set("api-key", "YOUR_API_KEY")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(string(body))
}
Exemples Outil de suppression d'arrière-plan Java
// Example posting a image URL:
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.URI;
public class Main {
public static void main(String[] args) throws Exception {
HttpClient client = HttpClient.newHttpClient();
String json = "{" +
"\"image\": \"YOUR_IMAGE_URL\"" +
"}";
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://api.deepai.org/api/background-remover"))
.header("Content-Type", "application/json")
.header("api-key", "YOUR_API_KEY")
.POST(HttpRequest.BodyPublishers.ofString(json))
.build();
HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());
}
}
// Example posting a local image file:
// Add to build.gradle: implementation 'com.squareup.okhttp3:okhttp:4.12.0'
import okhttp3.*;
import java.io.File;
import java.io.IOException;
public class Main {
public static void main(String[] args) throws IOException {
OkHttpClient client = new OkHttpClient();
RequestBody requestBody = new MultipartBody.Builder()
.setType(MultipartBody.FORM)
.addFormDataPart("image", "file.jpg", RequestBody.create(new File("/path/to/your/file.jpg"), MediaType.parse("application/octet-stream")))
.build();
Request request = new Request.Builder()
.url("https://api.deepai.org/api/background-remover")
.addHeader("api-key", "YOUR_API_KEY")
.post(requestBody)
.build();
try (Response response = client.newCall(request).execute()) {
System.out.println(response.body().string());
}
}
}
Exemples Outil de suppression d'arrière-plan C#
// Example posting a image URL:
using System;
using System.Net.Http;
using System.Text;
using System.Text.Json;
using System.Threading.Tasks;
class Program
{
static async Task Main()
{
using var client = new HttpClient();
client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");
var payload = new
{
image = "YOUR_IMAGE_URL",
};
var json = JsonSerializer.Serialize(payload);
var content = new StringContent(json, Encoding.UTF8, "application/json");
var response = await client.PostAsync("https://api.deepai.org/api/background-remover", content);
var result = await response.Content.ReadAsStringAsync();
Console.WriteLine(result);
}
}
// Example posting a local image file:
using System;
using System.IO;
using System.Net.Http;
using System.Threading.Tasks;
class Program
{
static async Task Main()
{
using var client = new HttpClient();
client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");
using var form = new MultipartFormDataContent();
var imageStream = File.OpenRead("/path/to/your/file.jpg");
form.Add(new StreamContent(imageStream), "image", "file.jpg");
var response = await client.PostAsync("https://api.deepai.org/api/background-remover", form);
var result = await response.Content.ReadAsStringAsync();
Console.WriteLine(result);
}
}
Exemples Outil de suppression d'arrière-plan Swift
// Example posting a image URL:
import Foundation
let url = URL(string: "https://api.deepai.org/api/background-remover")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")
let payload: [String: Any] = [
"image": "YOUR_IMAGE_URL",
]
request.httpBody = try? JSONSerialization.data(withJSONObject: payload)
let task = URLSession.shared.dataTask(with: request) { data, response, error in
if let data = data {
print(String(data: data, encoding: .utf8) ?? "")
}
}
task.resume()
// Keep the program running for async request
RunLoop.main.run()
// Example posting a local image file:
import Foundation
let url = URL(string: "https://api.deepai.org/api/background-remover")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")
let boundary = UUID().uuidString
request.setValue("multipart/form-data; boundary=\(boundary)", forHTTPHeaderField: "Content-Type")
var body = Data()
let imageData = try! Data(contentsOf: URL(fileURLWithPath: "/path/to/your/file.jpg"))
body.append("--\(boundary)\r\n".data(using: .utf8)!)
body.append("Content-Disposition: form-data; name=\"image\"; filename=\"file.jpg\"\r\n".data(using: .utf8)!)
body.append("Content-Type: application/octet-stream\r\n\r\n".data(using: .utf8)!)
body.append(imageData)
body.append("\r\n".data(using: .utf8)!)
body.append("--\(boundary)--\r\n".data(using: .utf8)!)
request.httpBody = body
let task = URLSession.shared.dataTask(with: request) { data, response, error in
if let data = data {
print(String(data: data, encoding: .utf8) ?? "")
}
}
task.resume()
RunLoop.main.run()
Exemples Outil de suppression d'arrière-plan Kotlin
// Example posting a image URL:
import java.net.URI
import java.net.http.HttpClient
import java.net.http.HttpRequest
import java.net.http.HttpResponse
fun main() {
val client = HttpClient.newHttpClient()
val json = """{
"image": "YOUR_IMAGE_URL"
}"""
val request = HttpRequest.newBuilder()
.uri(URI.create("https://api.deepai.org/api/background-remover"))
.header("Content-Type", "application/json")
.header("api-key", "YOUR_API_KEY")
.POST(HttpRequest.BodyPublishers.ofString(json))
.build()
val response = client.send(request, HttpResponse.BodyHandlers.ofString())
println(response.body())
}
// Example posting a local image file:
// Add to build.gradle.kts: implementation("com.squareup.okhttp3:okhttp:4.12.0")
import okhttp3.*
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.RequestBody.Companion.asRequestBody
import java.io.File
fun main() {
val client = OkHttpClient()
val requestBody = MultipartBody.Builder()
.setType(MultipartBody.FORM)
.addFormDataPart("image", "file.jpg", File("/path/to/your/file.jpg").asRequestBody("application/octet-stream".toMediaType()))
.build()
val request = Request.Builder()
.url("https://api.deepai.org/api/background-remover")
.addHeader("api-key", "YOUR_API_KEY")
.post(requestBody)
.build()
client.newCall(request).execute().use { response ->
println(response.body?.string())
}
}
Exemples Outil de suppression d'arrière-plan Rust
// Example posting a image URL:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }
// serde_json = "1"
use reqwest::header::HeaderMap;
use std::collections::HashMap;
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let client = reqwest::Client::new();
let mut headers = HeaderMap::new();
headers.insert("api-key", "YOUR_API_KEY".parse()?);
let mut payload = HashMap::new();
payload.insert("image", "YOUR_IMAGE_URL");
let response = client
.post("https://api.deepai.org/api/background-remover")
.headers(headers)
.json(&payload)
.send()
.await?;
println!("{}", response.text().await?);
Ok(())
}
// Example posting a local image file:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }
use reqwest::multipart;
use std::fs;
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let client = reqwest::Client::new();
let form = multipart::Form::new()
.file("image", "/path/to/your/file.jpg")?;
let response = client
.post("https://api.deepai.org/api/background-remover")
.header("api-key", "YOUR_API_KEY")
.multipart(form)
.send()
.await?;
println!("{}", response.text().await?);
Ok(())
}
Exemples Outil de suppression d'arrière-plan TypeScript
// Example posting a image URL:
interface ApiResponse {
// Define your response type here
[key: string]: unknown;
}
async function callApi(): Promise<ApiResponse> {
const response = await fetch('https://api.deepai.org/api/background-remover', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'api-key': 'YOUR_API_KEY'
},
body: JSON.stringify({
image: 'YOUR_IMAGE_URL',
})
});
const data: ApiResponse = await response.json();
console.log(data);
return data;
}
callApi();
// Example posting a local image file (Node.js with form-data package):
// npm install form-data
import * as fs from 'fs';
import FormData from 'form-data';
interface ApiResponse {
[key: string]: unknown;
}
async function uploadFile(): Promise<ApiResponse> {
const formData = new FormData();
formData.append('image', fs.createReadStream('/path/to/your/file.jpg'));
const response = await fetch('https://api.deepai.org/api/background-remover', {
method: 'POST',
headers: {
...formData.getHeaders(),
'api-key': 'YOUR_API_KEY'
},
body: formData as unknown as BodyInit
});
const data: ApiResponse = await response.json();
console.log(data);
return data;
}
uploadFile();
Exemples Outil de suppression d'arrière-plan Dart
// Example posting a image URL:
// Add to pubspec.yaml: http: ^1.1.0
import 'dart:convert';
import 'package:http/http.dart' as http;
Future<void> main() async {
final response = await http.post(
Uri.parse('https://api.deepai.org/api/background-remover'),
headers: {
'Content-Type': 'application/json',
'api-key': 'YOUR_API_KEY',
},
body: jsonEncode({
'image': 'YOUR_IMAGE_URL',
}),
);
print(response.body);
}
// Example posting a local image file:
// Add to pubspec.yaml: http: ^1.1.0
import 'dart:io';
import 'package:http/http.dart' as http;
Future<void> main() async {
var request = http.MultipartRequest(
'POST',
Uri.parse('https://api.deepai.org/api/background-remover'),
);
request.headers['api-key'] = 'YOUR_API_KEY';
request.files.add(
await http.MultipartFile.fromPath('image', '/path/to/your/file.jpg'),
);
var response = await request.send();
var responseBody = await response.stream.bytesToString();
print(responseBody);
}
Exemples Outil de suppression d'arrière-plan PowerShell
# Example posting a image URL:
$r = Invoke-WebRequest `
-Uri https://api.deepai.org/api/background-remover `
-Method Post `
-Form @{
image='YOUR_IMAGE_URL'
} `
-Headers @{
'api-key'='YOUR_API_KEY'
}
$r.Content
# Example posting a local image file:
$r = Invoke-WebRequest `
-Uri https://api.deepai.org/api/background-remover `
-Method Post `
-Form @{
image=Get-Item -Path '/path/to/your/file.jpg'
} `
-Headers @{
'api-key'='YOUR_API_KEY'
}
$r.Content
Retouchez vos photos et images grâce à l'IA.
Point de terminaison : POST https://api.deepai.org/api/image-editor
| Paramètre | Type | Obligatoire | Par défaut |
|---|---|---|---|
image |
image | Oui | — |
text |
text | Oui | — |
image_generator_version — facultatif. Indiquez « genius » ou « super_genius » pour obtenir des modifications de meilleure qualité et plus détaillées. Par défaut, c'est l'éditeur standard qui est utilisé.
resolution — « 2k » (par défaut) ou « 4k ». N'est utilisé que lorsque la valeur de « image_generator_version » est « super_genius ».
Exemples Éditeur de photos IA cURL
# Example posting a image URL:
curl \
-F 'image=YOUR_IMAGE_URL' \
-F 'text=YOUR_TEXT_HERE' \
-H 'api-key:YOUR_API_KEY' \
https://api.deepai.org/api/image-editor
# Example posting a local image file:
curl \
-F 'image=@/path/to/your/file.jpg' \
-F 'text=YOUR_TEXT_HERE' \
-H 'api-key:YOUR_API_KEY' \
https://api.deepai.org/api/image-editor
Exemples Éditeur de photos IA Javascript
// Example posting a image URL:
(async function() {
const resp = await fetch('https://api.deepai.org/api/image-editor', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'api-key': 'YOUR_API_KEY'
},
body: JSON.stringify({
image: "YOUR_IMAGE_URL",
text: "YOUR_TEXT_HERE",
})
});
const data = await resp.json();
console.log(data);
})()
// Example posting file picker input image (Browser only):
document.getElementById('yourFileInputId').addEventListener('change', async function() {
const formData = new FormData();
formData.append('image', this.files[0]);
formData.append('text', 'YOUR_TEXT_HERE');
const resp = await fetch('https://api.deepai.org/api/image-editor', {
method: 'POST',
headers: {
'api-key': 'YOUR_API_KEY'
},
body: formData
});
const data = await resp.json();
console.log(data);
});
// Example posting a local image file (Node.js only):
const fs = require('fs');
(async function() {
const formData = new FormData();
const jpgFileStream = fs.createReadStream("/path/to/your/file.jpg");
formData.append('image', jpgFileStream);
formData.append('text', 'YOUR_TEXT_HERE');
const resp = await fetch('https://api.deepai.org/api/image-editor', {
method: 'POST',
headers: {
'api-key': 'YOUR_API_KEY'
},
body: formData
});
const data = await resp.json();
console.log(data);
});
Exemples Éditeur de photos IA Python
# Example posting a image URL:
import requests
r = requests.post(
"https://api.deepai.org/api/image-editor",
data={
'image': 'YOUR_IMAGE_URL',
'text': 'YOUR_TEXT_HERE',
},
headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())
# Example posting a local image file:
import requests
r = requests.post(
"https://api.deepai.org/api/image-editor",
files={
'image': open('/path/to/your/file.jpg', 'rb'),
},
data={
'text': 'YOUR_TEXT_HERE',
},
headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())
Exemples Éditeur de photos IA Ruby
# Example posting a image URL:
require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/image-editor', timeout: 600,
headers: {'api-key' => 'YOUR_API_KEY'},
payload: {
'image' => 'YOUR_IMAGE_URL',
'text' => 'YOUR_TEXT_HERE',
}
)
puts r
# Example posting a local image file:
require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/image-editor', timeout: 600,
headers: {'api-key' => 'YOUR_API_KEY'},
payload: {
'image' => File.new('/path/to/your/file.jpg'),
'text' => 'YOUR_TEXT_HERE',
}
)
puts r
Exemples Éditeur de photos IA Php
// Example posting a image URL:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)
use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;
$client = new Client();
$headers = [
'api-key' => 'YOUR_API_KEY'
];
$options = [
'multipart' => [
[
'name' => 'image',
'contents' => 'YOUR_IMAGE_URL'
],
[
'name' => 'text',
'contents' => 'YOUR_TEXT_HERE'
],
]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/image-editor', $headers);
try {
$res = $client->sendAsync($request, $options)->wait();
echo $res->getBody();
} catch (Exception $e) {
echo 'Error: ' . $e->getMessage();
}
?>
// Example posting a local image file:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)
use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;
$client = new Client();
$headers = [
'api-key' => 'YOUR_API_KEY'
];
$options = [
'multipart' => [
[
'name' => 'image',
'contents' => Utils::tryFopen('/path/to/your/file.jpg', 'r')
],
[
'name' => 'text',
'contents' => 'YOUR_TEXT_HERE'
],
]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/image-editor', $headers);
try {
$res = $client->sendAsync($request, $options)->wait();
echo $res->getBody();
} catch (Exception $e) {
echo 'Error: ' . $e->getMessage();
}
?>
Exemples Éditeur de photos IA Go
// Example posting a image URL:
package main
import (
"bytes"
"encoding/json"
"fmt"
"io"
"net/http"
)
func main() {
url := "https://api.deepai.org/api/image-editor"
payload := map[string]string{
"image": "YOUR_IMAGE_URL",
"text": "YOUR_TEXT_HERE",
}
jsonData, _ := json.Marshal(payload)
req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
req.Header.Set("Content-Type", "application/json")
req.Header.Set("api-key", "YOUR_API_KEY")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(string(body))
}
// Example posting a local image file:
package main
import (
"bytes"
"fmt"
"io"
"mime/multipart"
"net/http"
"os"
)
func main() {
url := "https://api.deepai.org/api/image-editor"
var b bytes.Buffer
w := multipart.NewWriter(&b)
imageFile, _ := os.Open("/path/to/your/file.jpg")
defer imageFile.Close()
imageWriter, _ := w.CreateFormFile("image", "file.jpg")
io.Copy(imageWriter, imageFile)
w.WriteField("text", "YOUR_TEXT_HERE")
if err := w.Close(); err != nil {
panic(err)
}
req, _ := http.NewRequest("POST", url, &b)
req.Header.Set("Content-Type", w.FormDataContentType())
req.Header.Set("api-key", "YOUR_API_KEY")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(string(body))
}
Exemples Éditeur de photos IA Java
// Example posting a image URL:
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.URI;
public class Main {
public static void main(String[] args) throws Exception {
HttpClient client = HttpClient.newHttpClient();
String json = "{" +
"\"image\": \"YOUR_IMAGE_URL\"" +
"\"text\": \"YOUR_TEXT_HERE\"" +
"}";
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://api.deepai.org/api/image-editor"))
.header("Content-Type", "application/json")
.header("api-key", "YOUR_API_KEY")
.POST(HttpRequest.BodyPublishers.ofString(json))
.build();
HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());
}
}
// Example posting a local image file:
// Add to build.gradle: implementation 'com.squareup.okhttp3:okhttp:4.12.0'
import okhttp3.*;
import java.io.File;
import java.io.IOException;
public class Main {
public static void main(String[] args) throws IOException {
OkHttpClient client = new OkHttpClient();
RequestBody requestBody = new MultipartBody.Builder()
.setType(MultipartBody.FORM)
.addFormDataPart("image", "file.jpg", RequestBody.create(new File("/path/to/your/file.jpg"), MediaType.parse("application/octet-stream")))
.addFormDataPart("text", "YOUR_TEXT_HERE")
.build();
Request request = new Request.Builder()
.url("https://api.deepai.org/api/image-editor")
.addHeader("api-key", "YOUR_API_KEY")
.post(requestBody)
.build();
try (Response response = client.newCall(request).execute()) {
System.out.println(response.body().string());
}
}
}
Exemples Éditeur de photos IA C#
// Example posting a image URL:
using System;
using System.Net.Http;
using System.Text;
using System.Text.Json;
using System.Threading.Tasks;
class Program
{
static async Task Main()
{
using var client = new HttpClient();
client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");
var payload = new
{
image = "YOUR_IMAGE_URL",
text = "YOUR_TEXT_HERE",
};
var json = JsonSerializer.Serialize(payload);
var content = new StringContent(json, Encoding.UTF8, "application/json");
var response = await client.PostAsync("https://api.deepai.org/api/image-editor", content);
var result = await response.Content.ReadAsStringAsync();
Console.WriteLine(result);
}
}
// Example posting a local image file:
using System;
using System.IO;
using System.Net.Http;
using System.Threading.Tasks;
class Program
{
static async Task Main()
{
using var client = new HttpClient();
client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");
using var form = new MultipartFormDataContent();
var imageStream = File.OpenRead("/path/to/your/file.jpg");
form.Add(new StreamContent(imageStream), "image", "file.jpg");
form.Add(new StringContent("YOUR_TEXT_HERE"), "text");
var response = await client.PostAsync("https://api.deepai.org/api/image-editor", form);
var result = await response.Content.ReadAsStringAsync();
Console.WriteLine(result);
}
}
Exemples Éditeur de photos IA Swift
// Example posting a image URL:
import Foundation
let url = URL(string: "https://api.deepai.org/api/image-editor")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")
let payload: [String: Any] = [
"image": "YOUR_IMAGE_URL",
"text": "YOUR_TEXT_HERE",
]
request.httpBody = try? JSONSerialization.data(withJSONObject: payload)
let task = URLSession.shared.dataTask(with: request) { data, response, error in
if let data = data {
print(String(data: data, encoding: .utf8) ?? "")
}
}
task.resume()
// Keep the program running for async request
RunLoop.main.run()
// Example posting a local image file:
import Foundation
let url = URL(string: "https://api.deepai.org/api/image-editor")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")
let boundary = UUID().uuidString
request.setValue("multipart/form-data; boundary=\(boundary)", forHTTPHeaderField: "Content-Type")
var body = Data()
let imageData = try! Data(contentsOf: URL(fileURLWithPath: "/path/to/your/file.jpg"))
body.append("--\(boundary)\r\n".data(using: .utf8)!)
body.append("Content-Disposition: form-data; name=\"image\"; filename=\"file.jpg\"\r\n".data(using: .utf8)!)
body.append("Content-Type: application/octet-stream\r\n\r\n".data(using: .utf8)!)
body.append(imageData)
body.append("\r\n".data(using: .utf8)!)
body.append("--\(boundary)\r\n".data(using: .utf8)!)
body.append("Content-Disposition: form-data; name=\"text\"\r\n\r\n".data(using: .utf8)!)
body.append("YOUR_TEXT_HERE".data(using: .utf8)!)
body.append("\r\n".data(using: .utf8)!)
body.append("--\(boundary)--\r\n".data(using: .utf8)!)
request.httpBody = body
let task = URLSession.shared.dataTask(with: request) { data, response, error in
if let data = data {
print(String(data: data, encoding: .utf8) ?? "")
}
}
task.resume()
RunLoop.main.run()
Exemples Éditeur de photos IA Kotlin
// Example posting a image URL:
import java.net.URI
import java.net.http.HttpClient
import java.net.http.HttpRequest
import java.net.http.HttpResponse
fun main() {
val client = HttpClient.newHttpClient()
val json = """{
"image": "YOUR_IMAGE_URL",
"text": "YOUR_TEXT_HERE"
}"""
val request = HttpRequest.newBuilder()
.uri(URI.create("https://api.deepai.org/api/image-editor"))
.header("Content-Type", "application/json")
.header("api-key", "YOUR_API_KEY")
.POST(HttpRequest.BodyPublishers.ofString(json))
.build()
val response = client.send(request, HttpResponse.BodyHandlers.ofString())
println(response.body())
}
// Example posting a local image file:
// Add to build.gradle.kts: implementation("com.squareup.okhttp3:okhttp:4.12.0")
import okhttp3.*
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.RequestBody.Companion.asRequestBody
import java.io.File
fun main() {
val client = OkHttpClient()
val requestBody = MultipartBody.Builder()
.setType(MultipartBody.FORM)
.addFormDataPart("image", "file.jpg", File("/path/to/your/file.jpg").asRequestBody("application/octet-stream".toMediaType()))
.addFormDataPart("text", "YOUR_TEXT_HERE")
.build()
val request = Request.Builder()
.url("https://api.deepai.org/api/image-editor")
.addHeader("api-key", "YOUR_API_KEY")
.post(requestBody)
.build()
client.newCall(request).execute().use { response ->
println(response.body?.string())
}
}
Exemples Éditeur de photos IA Rust
// Example posting a image URL:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }
// serde_json = "1"
use reqwest::header::HeaderMap;
use std::collections::HashMap;
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let client = reqwest::Client::new();
let mut headers = HeaderMap::new();
headers.insert("api-key", "YOUR_API_KEY".parse()?);
let mut payload = HashMap::new();
payload.insert("image", "YOUR_IMAGE_URL");
payload.insert("text", "YOUR_TEXT_HERE");
let response = client
.post("https://api.deepai.org/api/image-editor")
.headers(headers)
.json(&payload)
.send()
.await?;
println!("{}", response.text().await?);
Ok(())
}
// Example posting a local image file:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }
use reqwest::multipart;
use std::fs;
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let client = reqwest::Client::new();
let form = multipart::Form::new()
.file("image", "/path/to/your/file.jpg")?
.text("text", "YOUR_TEXT_HERE");
let response = client
.post("https://api.deepai.org/api/image-editor")
.header("api-key", "YOUR_API_KEY")
.multipart(form)
.send()
.await?;
println!("{}", response.text().await?);
Ok(())
}
Exemples Éditeur de photos IA TypeScript
// Example posting a image URL:
interface ApiResponse {
// Define your response type here
[key: string]: unknown;
}
async function callApi(): Promise<ApiResponse> {
const response = await fetch('https://api.deepai.org/api/image-editor', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'api-key': 'YOUR_API_KEY'
},
body: JSON.stringify({
image: 'YOUR_IMAGE_URL',
text: 'YOUR_TEXT_HERE',
})
});
const data: ApiResponse = await response.json();
console.log(data);
return data;
}
callApi();
// Example posting a local image file (Node.js with form-data package):
// npm install form-data
import * as fs from 'fs';
import FormData from 'form-data';
interface ApiResponse {
[key: string]: unknown;
}
async function uploadFile(): Promise<ApiResponse> {
const formData = new FormData();
formData.append('image', fs.createReadStream('/path/to/your/file.jpg'));
formData.append('text', 'YOUR_TEXT_HERE');
const response = await fetch('https://api.deepai.org/api/image-editor', {
method: 'POST',
headers: {
...formData.getHeaders(),
'api-key': 'YOUR_API_KEY'
},
body: formData as unknown as BodyInit
});
const data: ApiResponse = await response.json();
console.log(data);
return data;
}
uploadFile();
Exemples Éditeur de photos IA Dart
// Example posting a image URL:
// Add to pubspec.yaml: http: ^1.1.0
import 'dart:convert';
import 'package:http/http.dart' as http;
Future<void> main() async {
final response = await http.post(
Uri.parse('https://api.deepai.org/api/image-editor'),
headers: {
'Content-Type': 'application/json',
'api-key': 'YOUR_API_KEY',
},
body: jsonEncode({
'image': 'YOUR_IMAGE_URL',
'text': 'YOUR_TEXT_HERE',
}),
);
print(response.body);
}
// Example posting a local image file:
// Add to pubspec.yaml: http: ^1.1.0
import 'dart:io';
import 'package:http/http.dart' as http;
Future<void> main() async {
var request = http.MultipartRequest(
'POST',
Uri.parse('https://api.deepai.org/api/image-editor'),
);
request.headers['api-key'] = 'YOUR_API_KEY';
request.files.add(
await http.MultipartFile.fromPath('image', '/path/to/your/file.jpg'),
);
request.fields['text'] = 'YOUR_TEXT_HERE';
var response = await request.send();
var responseBody = await response.stream.bytesToString();
print(responseBody);
}
Exemples Éditeur de photos IA PowerShell
# Example posting a image URL:
$r = Invoke-WebRequest `
-Uri https://api.deepai.org/api/image-editor `
-Method Post `
-Form @{
image='YOUR_IMAGE_URL'
text='YOUR_TEXT_HERE'
} `
-Headers @{
'api-key'='YOUR_API_KEY'
}
$r.Content
# Example posting a local image file:
$r = Invoke-WebRequest `
-Uri https://api.deepai.org/api/image-editor `
-Method Post `
-Form @{
image=Get-Item -Path '/path/to/your/file.jpg'
text='YOUR_TEXT_HERE'
} `
-Headers @{
'api-key'='YOUR_API_KEY'
}
$r.Content
Donnez de la couleur à vos vieilles photos de famille et à vos images historiques, ou redonnez vie à un vieux film grâce à la colorisation.
Point de terminaison : POST https://api.deepai.org/api/colorizer
| Paramètre | Type | Obligatoire | Par défaut |
|---|---|---|---|
image |
image | Oui | — |
Exemples Coloriseur d'images cURL
# Example posting a image URL:
curl \
-F 'image=YOUR_IMAGE_URL' \
-H 'api-key:YOUR_API_KEY' \
https://api.deepai.org/api/colorizer
# Example posting a local image file:
curl \
-F 'image=@/path/to/your/file.jpg' \
-H 'api-key:YOUR_API_KEY' \
https://api.deepai.org/api/colorizer
Exemples Coloriseur d'images Javascript
// Example posting a image URL:
(async function() {
const resp = await fetch('https://api.deepai.org/api/colorizer', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'api-key': 'YOUR_API_KEY'
},
body: JSON.stringify({
image: "YOUR_IMAGE_URL",
})
});
const data = await resp.json();
console.log(data);
})()
// Example posting file picker input image (Browser only):
document.getElementById('yourFileInputId').addEventListener('change', async function() {
const formData = new FormData();
formData.append('image', this.files[0]);
const resp = await fetch('https://api.deepai.org/api/colorizer', {
method: 'POST',
headers: {
'api-key': 'YOUR_API_KEY'
},
body: formData
});
const data = await resp.json();
console.log(data);
});
// Example posting a local image file (Node.js only):
const fs = require('fs');
(async function() {
const formData = new FormData();
const jpgFileStream = fs.createReadStream("/path/to/your/file.jpg");
formData.append('image', jpgFileStream);
const resp = await fetch('https://api.deepai.org/api/colorizer', {
method: 'POST',
headers: {
'api-key': 'YOUR_API_KEY'
},
body: formData
});
const data = await resp.json();
console.log(data);
});
Exemples Coloriseur d'images Python
# Example posting a image URL:
import requests
r = requests.post(
"https://api.deepai.org/api/colorizer",
data={
'image': 'YOUR_IMAGE_URL',
},
headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())
# Example posting a local image file:
import requests
r = requests.post(
"https://api.deepai.org/api/colorizer",
files={
'image': open('/path/to/your/file.jpg', 'rb'),
},
headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())
Exemples Coloriseur d'images Ruby
# Example posting a image URL:
require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/colorizer', timeout: 600,
headers: {'api-key' => 'YOUR_API_KEY'},
payload: {
'image' => 'YOUR_IMAGE_URL',
}
)
puts r
# Example posting a local image file:
require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/colorizer', timeout: 600,
headers: {'api-key' => 'YOUR_API_KEY'},
payload: {
'image' => File.new('/path/to/your/file.jpg'),
}
)
puts r
Exemples Coloriseur d'images Php
// Example posting a image URL:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)
use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;
$client = new Client();
$headers = [
'api-key' => 'YOUR_API_KEY'
];
$options = [
'multipart' => [
[
'name' => 'image',
'contents' => 'YOUR_IMAGE_URL'
],
]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/colorizer', $headers);
try {
$res = $client->sendAsync($request, $options)->wait();
echo $res->getBody();
} catch (Exception $e) {
echo 'Error: ' . $e->getMessage();
}
?>
// Example posting a local image file:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)
use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;
$client = new Client();
$headers = [
'api-key' => 'YOUR_API_KEY'
];
$options = [
'multipart' => [
[
'name' => 'image',
'contents' => Utils::tryFopen('/path/to/your/file.jpg', 'r')
],
]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/colorizer', $headers);
try {
$res = $client->sendAsync($request, $options)->wait();
echo $res->getBody();
} catch (Exception $e) {
echo 'Error: ' . $e->getMessage();
}
?>
Exemples Coloriseur d'images Go
// Example posting a image URL:
package main
import (
"bytes"
"encoding/json"
"fmt"
"io"
"net/http"
)
func main() {
url := "https://api.deepai.org/api/colorizer"
payload := map[string]string{
"image": "YOUR_IMAGE_URL",
}
jsonData, _ := json.Marshal(payload)
req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
req.Header.Set("Content-Type", "application/json")
req.Header.Set("api-key", "YOUR_API_KEY")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(string(body))
}
// Example posting a local image file:
package main
import (
"bytes"
"fmt"
"io"
"mime/multipart"
"net/http"
"os"
)
func main() {
url := "https://api.deepai.org/api/colorizer"
var b bytes.Buffer
w := multipart.NewWriter(&b)
imageFile, _ := os.Open("/path/to/your/file.jpg")
defer imageFile.Close()
imageWriter, _ := w.CreateFormFile("image", "file.jpg")
io.Copy(imageWriter, imageFile)
if err := w.Close(); err != nil {
panic(err)
}
req, _ := http.NewRequest("POST", url, &b)
req.Header.Set("Content-Type", w.FormDataContentType())
req.Header.Set("api-key", "YOUR_API_KEY")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(string(body))
}
Exemples Coloriseur d'images Java
// Example posting a image URL:
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.URI;
public class Main {
public static void main(String[] args) throws Exception {
HttpClient client = HttpClient.newHttpClient();
String json = "{" +
"\"image\": \"YOUR_IMAGE_URL\"" +
"}";
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://api.deepai.org/api/colorizer"))
.header("Content-Type", "application/json")
.header("api-key", "YOUR_API_KEY")
.POST(HttpRequest.BodyPublishers.ofString(json))
.build();
HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());
}
}
// Example posting a local image file:
// Add to build.gradle: implementation 'com.squareup.okhttp3:okhttp:4.12.0'
import okhttp3.*;
import java.io.File;
import java.io.IOException;
public class Main {
public static void main(String[] args) throws IOException {
OkHttpClient client = new OkHttpClient();
RequestBody requestBody = new MultipartBody.Builder()
.setType(MultipartBody.FORM)
.addFormDataPart("image", "file.jpg", RequestBody.create(new File("/path/to/your/file.jpg"), MediaType.parse("application/octet-stream")))
.build();
Request request = new Request.Builder()
.url("https://api.deepai.org/api/colorizer")
.addHeader("api-key", "YOUR_API_KEY")
.post(requestBody)
.build();
try (Response response = client.newCall(request).execute()) {
System.out.println(response.body().string());
}
}
}
Exemples Coloriseur d'images C#
// Example posting a image URL:
using System;
using System.Net.Http;
using System.Text;
using System.Text.Json;
using System.Threading.Tasks;
class Program
{
static async Task Main()
{
using var client = new HttpClient();
client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");
var payload = new
{
image = "YOUR_IMAGE_URL",
};
var json = JsonSerializer.Serialize(payload);
var content = new StringContent(json, Encoding.UTF8, "application/json");
var response = await client.PostAsync("https://api.deepai.org/api/colorizer", content);
var result = await response.Content.ReadAsStringAsync();
Console.WriteLine(result);
}
}
// Example posting a local image file:
using System;
using System.IO;
using System.Net.Http;
using System.Threading.Tasks;
class Program
{
static async Task Main()
{
using var client = new HttpClient();
client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");
using var form = new MultipartFormDataContent();
var imageStream = File.OpenRead("/path/to/your/file.jpg");
form.Add(new StreamContent(imageStream), "image", "file.jpg");
var response = await client.PostAsync("https://api.deepai.org/api/colorizer", form);
var result = await response.Content.ReadAsStringAsync();
Console.WriteLine(result);
}
}
Exemples Coloriseur d'images Swift
// Example posting a image URL:
import Foundation
let url = URL(string: "https://api.deepai.org/api/colorizer")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")
let payload: [String: Any] = [
"image": "YOUR_IMAGE_URL",
]
request.httpBody = try? JSONSerialization.data(withJSONObject: payload)
let task = URLSession.shared.dataTask(with: request) { data, response, error in
if let data = data {
print(String(data: data, encoding: .utf8) ?? "")
}
}
task.resume()
// Keep the program running for async request
RunLoop.main.run()
// Example posting a local image file:
import Foundation
let url = URL(string: "https://api.deepai.org/api/colorizer")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")
let boundary = UUID().uuidString
request.setValue("multipart/form-data; boundary=\(boundary)", forHTTPHeaderField: "Content-Type")
var body = Data()
let imageData = try! Data(contentsOf: URL(fileURLWithPath: "/path/to/your/file.jpg"))
body.append("--\(boundary)\r\n".data(using: .utf8)!)
body.append("Content-Disposition: form-data; name=\"image\"; filename=\"file.jpg\"\r\n".data(using: .utf8)!)
body.append("Content-Type: application/octet-stream\r\n\r\n".data(using: .utf8)!)
body.append(imageData)
body.append("\r\n".data(using: .utf8)!)
body.append("--\(boundary)--\r\n".data(using: .utf8)!)
request.httpBody = body
let task = URLSession.shared.dataTask(with: request) { data, response, error in
if let data = data {
print(String(data: data, encoding: .utf8) ?? "")
}
}
task.resume()
RunLoop.main.run()
Exemples Coloriseur d'images Kotlin
// Example posting a image URL:
import java.net.URI
import java.net.http.HttpClient
import java.net.http.HttpRequest
import java.net.http.HttpResponse
fun main() {
val client = HttpClient.newHttpClient()
val json = """{
"image": "YOUR_IMAGE_URL"
}"""
val request = HttpRequest.newBuilder()
.uri(URI.create("https://api.deepai.org/api/colorizer"))
.header("Content-Type", "application/json")
.header("api-key", "YOUR_API_KEY")
.POST(HttpRequest.BodyPublishers.ofString(json))
.build()
val response = client.send(request, HttpResponse.BodyHandlers.ofString())
println(response.body())
}
// Example posting a local image file:
// Add to build.gradle.kts: implementation("com.squareup.okhttp3:okhttp:4.12.0")
import okhttp3.*
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.RequestBody.Companion.asRequestBody
import java.io.File
fun main() {
val client = OkHttpClient()
val requestBody = MultipartBody.Builder()
.setType(MultipartBody.FORM)
.addFormDataPart("image", "file.jpg", File("/path/to/your/file.jpg").asRequestBody("application/octet-stream".toMediaType()))
.build()
val request = Request.Builder()
.url("https://api.deepai.org/api/colorizer")
.addHeader("api-key", "YOUR_API_KEY")
.post(requestBody)
.build()
client.newCall(request).execute().use { response ->
println(response.body?.string())
}
}
Exemples Coloriseur d'images Rust
// Example posting a image URL:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }
// serde_json = "1"
use reqwest::header::HeaderMap;
use std::collections::HashMap;
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let client = reqwest::Client::new();
let mut headers = HeaderMap::new();
headers.insert("api-key", "YOUR_API_KEY".parse()?);
let mut payload = HashMap::new();
payload.insert("image", "YOUR_IMAGE_URL");
let response = client
.post("https://api.deepai.org/api/colorizer")
.headers(headers)
.json(&payload)
.send()
.await?;
println!("{}", response.text().await?);
Ok(())
}
// Example posting a local image file:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }
use reqwest::multipart;
use std::fs;
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let client = reqwest::Client::new();
let form = multipart::Form::new()
.file("image", "/path/to/your/file.jpg")?;
let response = client
.post("https://api.deepai.org/api/colorizer")
.header("api-key", "YOUR_API_KEY")
.multipart(form)
.send()
.await?;
println!("{}", response.text().await?);
Ok(())
}
Exemples Coloriseur d'images TypeScript
// Example posting a image URL:
interface ApiResponse {
// Define your response type here
[key: string]: unknown;
}
async function callApi(): Promise<ApiResponse> {
const response = await fetch('https://api.deepai.org/api/colorizer', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'api-key': 'YOUR_API_KEY'
},
body: JSON.stringify({
image: 'YOUR_IMAGE_URL',
})
});
const data: ApiResponse = await response.json();
console.log(data);
return data;
}
callApi();
// Example posting a local image file (Node.js with form-data package):
// npm install form-data
import * as fs from 'fs';
import FormData from 'form-data';
interface ApiResponse {
[key: string]: unknown;
}
async function uploadFile(): Promise<ApiResponse> {
const formData = new FormData();
formData.append('image', fs.createReadStream('/path/to/your/file.jpg'));
const response = await fetch('https://api.deepai.org/api/colorizer', {
method: 'POST',
headers: {
...formData.getHeaders(),
'api-key': 'YOUR_API_KEY'
},
body: formData as unknown as BodyInit
});
const data: ApiResponse = await response.json();
console.log(data);
return data;
}
uploadFile();
Exemples Coloriseur d'images Dart
// Example posting a image URL:
// Add to pubspec.yaml: http: ^1.1.0
import 'dart:convert';
import 'package:http/http.dart' as http;
Future<void> main() async {
final response = await http.post(
Uri.parse('https://api.deepai.org/api/colorizer'),
headers: {
'Content-Type': 'application/json',
'api-key': 'YOUR_API_KEY',
},
body: jsonEncode({
'image': 'YOUR_IMAGE_URL',
}),
);
print(response.body);
}
// Example posting a local image file:
// Add to pubspec.yaml: http: ^1.1.0
import 'dart:io';
import 'package:http/http.dart' as http;
Future<void> main() async {
var request = http.MultipartRequest(
'POST',
Uri.parse('https://api.deepai.org/api/colorizer'),
);
request.headers['api-key'] = 'YOUR_API_KEY';
request.files.add(
await http.MultipartFile.fromPath('image', '/path/to/your/file.jpg'),
);
var response = await request.send();
var responseBody = await response.stream.bytesToString();
print(responseBody);
}
Exemples Coloriseur d'images PowerShell
# Example posting a image URL:
$r = Invoke-WebRequest `
-Uri https://api.deepai.org/api/colorizer `
-Method Post `
-Form @{
image='YOUR_IMAGE_URL'
} `
-Headers @{
'api-key'='YOUR_API_KEY'
}
$r.Content
# Example posting a local image file:
$r = Invoke-WebRequest `
-Uri https://api.deepai.org/api/colorizer `
-Method Post `
-Form @{
image=Get-Item -Path '/path/to/your/file.jpg'
} `
-Headers @{
'api-key'='YOUR_API_KEY'
}
$r.Content
L'API Super Resolution utilise l'apprentissage automatique pour clarifier, accentuer les contours et agrandir la photo sans en altérer le contenu ni ses caractéristiques distinctives. Les images floues sont malheureusement courantes et constituent un problème tant pour les professionnels que pour les amateurs. La super-résolution utilise des techniques d'apprentissage automatique pour agrandir les images en une fraction de seconde.
Point de terminaison : POST https://api.deepai.org/api/torch-srgan
| Paramètre | Type | Obligatoire | Par défaut |
|---|---|---|---|
image |
image | Oui | — |
Exemples Super-résolution cURL
# Example posting a image URL:
curl \
-F 'image=YOUR_IMAGE_URL' \
-H 'api-key:YOUR_API_KEY' \
https://api.deepai.org/api/torch-srgan
# Example posting a local image file:
curl \
-F 'image=@/path/to/your/file.jpg' \
-H 'api-key:YOUR_API_KEY' \
https://api.deepai.org/api/torch-srgan
Exemples Super-résolution Javascript
// Example posting a image URL:
(async function() {
const resp = await fetch('https://api.deepai.org/api/torch-srgan', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'api-key': 'YOUR_API_KEY'
},
body: JSON.stringify({
image: "YOUR_IMAGE_URL",
})
});
const data = await resp.json();
console.log(data);
})()
// Example posting file picker input image (Browser only):
document.getElementById('yourFileInputId').addEventListener('change', async function() {
const formData = new FormData();
formData.append('image', this.files[0]);
const resp = await fetch('https://api.deepai.org/api/torch-srgan', {
method: 'POST',
headers: {
'api-key': 'YOUR_API_KEY'
},
body: formData
});
const data = await resp.json();
console.log(data);
});
// Example posting a local image file (Node.js only):
const fs = require('fs');
(async function() {
const formData = new FormData();
const jpgFileStream = fs.createReadStream("/path/to/your/file.jpg");
formData.append('image', jpgFileStream);
const resp = await fetch('https://api.deepai.org/api/torch-srgan', {
method: 'POST',
headers: {
'api-key': 'YOUR_API_KEY'
},
body: formData
});
const data = await resp.json();
console.log(data);
});
Exemples Super-résolution Python
# Example posting a image URL:
import requests
r = requests.post(
"https://api.deepai.org/api/torch-srgan",
data={
'image': 'YOUR_IMAGE_URL',
},
headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())
# Example posting a local image file:
import requests
r = requests.post(
"https://api.deepai.org/api/torch-srgan",
files={
'image': open('/path/to/your/file.jpg', 'rb'),
},
headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())
Exemples Super-résolution Ruby
# Example posting a image URL:
require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/torch-srgan', timeout: 600,
headers: {'api-key' => 'YOUR_API_KEY'},
payload: {
'image' => 'YOUR_IMAGE_URL',
}
)
puts r
# Example posting a local image file:
require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/torch-srgan', timeout: 600,
headers: {'api-key' => 'YOUR_API_KEY'},
payload: {
'image' => File.new('/path/to/your/file.jpg'),
}
)
puts r
Exemples Super-résolution Php
// Example posting a image URL:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)
use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;
$client = new Client();
$headers = [
'api-key' => 'YOUR_API_KEY'
];
$options = [
'multipart' => [
[
'name' => 'image',
'contents' => 'YOUR_IMAGE_URL'
],
]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/torch-srgan', $headers);
try {
$res = $client->sendAsync($request, $options)->wait();
echo $res->getBody();
} catch (Exception $e) {
echo 'Error: ' . $e->getMessage();
}
?>
// Example posting a local image file:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)
use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;
$client = new Client();
$headers = [
'api-key' => 'YOUR_API_KEY'
];
$options = [
'multipart' => [
[
'name' => 'image',
'contents' => Utils::tryFopen('/path/to/your/file.jpg', 'r')
],
]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/torch-srgan', $headers);
try {
$res = $client->sendAsync($request, $options)->wait();
echo $res->getBody();
} catch (Exception $e) {
echo 'Error: ' . $e->getMessage();
}
?>
Exemples Super-résolution Go
// Example posting a image URL:
package main
import (
"bytes"
"encoding/json"
"fmt"
"io"
"net/http"
)
func main() {
url := "https://api.deepai.org/api/torch-srgan"
payload := map[string]string{
"image": "YOUR_IMAGE_URL",
}
jsonData, _ := json.Marshal(payload)
req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
req.Header.Set("Content-Type", "application/json")
req.Header.Set("api-key", "YOUR_API_KEY")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(string(body))
}
// Example posting a local image file:
package main
import (
"bytes"
"fmt"
"io"
"mime/multipart"
"net/http"
"os"
)
func main() {
url := "https://api.deepai.org/api/torch-srgan"
var b bytes.Buffer
w := multipart.NewWriter(&b)
imageFile, _ := os.Open("/path/to/your/file.jpg")
defer imageFile.Close()
imageWriter, _ := w.CreateFormFile("image", "file.jpg")
io.Copy(imageWriter, imageFile)
if err := w.Close(); err != nil {
panic(err)
}
req, _ := http.NewRequest("POST", url, &b)
req.Header.Set("Content-Type", w.FormDataContentType())
req.Header.Set("api-key", "YOUR_API_KEY")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(string(body))
}
Exemples Super-résolution Java
// Example posting a image URL:
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.URI;
public class Main {
public static void main(String[] args) throws Exception {
HttpClient client = HttpClient.newHttpClient();
String json = "{" +
"\"image\": \"YOUR_IMAGE_URL\"" +
"}";
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://api.deepai.org/api/torch-srgan"))
.header("Content-Type", "application/json")
.header("api-key", "YOUR_API_KEY")
.POST(HttpRequest.BodyPublishers.ofString(json))
.build();
HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());
}
}
// Example posting a local image file:
// Add to build.gradle: implementation 'com.squareup.okhttp3:okhttp:4.12.0'
import okhttp3.*;
import java.io.File;
import java.io.IOException;
public class Main {
public static void main(String[] args) throws IOException {
OkHttpClient client = new OkHttpClient();
RequestBody requestBody = new MultipartBody.Builder()
.setType(MultipartBody.FORM)
.addFormDataPart("image", "file.jpg", RequestBody.create(new File("/path/to/your/file.jpg"), MediaType.parse("application/octet-stream")))
.build();
Request request = new Request.Builder()
.url("https://api.deepai.org/api/torch-srgan")
.addHeader("api-key", "YOUR_API_KEY")
.post(requestBody)
.build();
try (Response response = client.newCall(request).execute()) {
System.out.println(response.body().string());
}
}
}
Exemples Super-résolution C#
// Example posting a image URL:
using System;
using System.Net.Http;
using System.Text;
using System.Text.Json;
using System.Threading.Tasks;
class Program
{
static async Task Main()
{
using var client = new HttpClient();
client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");
var payload = new
{
image = "YOUR_IMAGE_URL",
};
var json = JsonSerializer.Serialize(payload);
var content = new StringContent(json, Encoding.UTF8, "application/json");
var response = await client.PostAsync("https://api.deepai.org/api/torch-srgan", content);
var result = await response.Content.ReadAsStringAsync();
Console.WriteLine(result);
}
}
// Example posting a local image file:
using System;
using System.IO;
using System.Net.Http;
using System.Threading.Tasks;
class Program
{
static async Task Main()
{
using var client = new HttpClient();
client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");
using var form = new MultipartFormDataContent();
var imageStream = File.OpenRead("/path/to/your/file.jpg");
form.Add(new StreamContent(imageStream), "image", "file.jpg");
var response = await client.PostAsync("https://api.deepai.org/api/torch-srgan", form);
var result = await response.Content.ReadAsStringAsync();
Console.WriteLine(result);
}
}
Exemples Super-résolution Swift
// Example posting a image URL:
import Foundation
let url = URL(string: "https://api.deepai.org/api/torch-srgan")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")
let payload: [String: Any] = [
"image": "YOUR_IMAGE_URL",
]
request.httpBody = try? JSONSerialization.data(withJSONObject: payload)
let task = URLSession.shared.dataTask(with: request) { data, response, error in
if let data = data {
print(String(data: data, encoding: .utf8) ?? "")
}
}
task.resume()
// Keep the program running for async request
RunLoop.main.run()
// Example posting a local image file:
import Foundation
let url = URL(string: "https://api.deepai.org/api/torch-srgan")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")
let boundary = UUID().uuidString
request.setValue("multipart/form-data; boundary=\(boundary)", forHTTPHeaderField: "Content-Type")
var body = Data()
let imageData = try! Data(contentsOf: URL(fileURLWithPath: "/path/to/your/file.jpg"))
body.append("--\(boundary)\r\n".data(using: .utf8)!)
body.append("Content-Disposition: form-data; name=\"image\"; filename=\"file.jpg\"\r\n".data(using: .utf8)!)
body.append("Content-Type: application/octet-stream\r\n\r\n".data(using: .utf8)!)
body.append(imageData)
body.append("\r\n".data(using: .utf8)!)
body.append("--\(boundary)--\r\n".data(using: .utf8)!)
request.httpBody = body
let task = URLSession.shared.dataTask(with: request) { data, response, error in
if let data = data {
print(String(data: data, encoding: .utf8) ?? "")
}
}
task.resume()
RunLoop.main.run()
Exemples Super-résolution Kotlin
// Example posting a image URL:
import java.net.URI
import java.net.http.HttpClient
import java.net.http.HttpRequest
import java.net.http.HttpResponse
fun main() {
val client = HttpClient.newHttpClient()
val json = """{
"image": "YOUR_IMAGE_URL"
}"""
val request = HttpRequest.newBuilder()
.uri(URI.create("https://api.deepai.org/api/torch-srgan"))
.header("Content-Type", "application/json")
.header("api-key", "YOUR_API_KEY")
.POST(HttpRequest.BodyPublishers.ofString(json))
.build()
val response = client.send(request, HttpResponse.BodyHandlers.ofString())
println(response.body())
}
// Example posting a local image file:
// Add to build.gradle.kts: implementation("com.squareup.okhttp3:okhttp:4.12.0")
import okhttp3.*
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.RequestBody.Companion.asRequestBody
import java.io.File
fun main() {
val client = OkHttpClient()
val requestBody = MultipartBody.Builder()
.setType(MultipartBody.FORM)
.addFormDataPart("image", "file.jpg", File("/path/to/your/file.jpg").asRequestBody("application/octet-stream".toMediaType()))
.build()
val request = Request.Builder()
.url("https://api.deepai.org/api/torch-srgan")
.addHeader("api-key", "YOUR_API_KEY")
.post(requestBody)
.build()
client.newCall(request).execute().use { response ->
println(response.body?.string())
}
}
Exemples Super-résolution Rust
// Example posting a image URL:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }
// serde_json = "1"
use reqwest::header::HeaderMap;
use std::collections::HashMap;
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let client = reqwest::Client::new();
let mut headers = HeaderMap::new();
headers.insert("api-key", "YOUR_API_KEY".parse()?);
let mut payload = HashMap::new();
payload.insert("image", "YOUR_IMAGE_URL");
let response = client
.post("https://api.deepai.org/api/torch-srgan")
.headers(headers)
.json(&payload)
.send()
.await?;
println!("{}", response.text().await?);
Ok(())
}
// Example posting a local image file:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }
use reqwest::multipart;
use std::fs;
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let client = reqwest::Client::new();
let form = multipart::Form::new()
.file("image", "/path/to/your/file.jpg")?;
let response = client
.post("https://api.deepai.org/api/torch-srgan")
.header("api-key", "YOUR_API_KEY")
.multipart(form)
.send()
.await?;
println!("{}", response.text().await?);
Ok(())
}
Exemples Super-résolution TypeScript
// Example posting a image URL:
interface ApiResponse {
// Define your response type here
[key: string]: unknown;
}
async function callApi(): Promise<ApiResponse> {
const response = await fetch('https://api.deepai.org/api/torch-srgan', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'api-key': 'YOUR_API_KEY'
},
body: JSON.stringify({
image: 'YOUR_IMAGE_URL',
})
});
const data: ApiResponse = await response.json();
console.log(data);
return data;
}
callApi();
// Example posting a local image file (Node.js with form-data package):
// npm install form-data
import * as fs from 'fs';
import FormData from 'form-data';
interface ApiResponse {
[key: string]: unknown;
}
async function uploadFile(): Promise<ApiResponse> {
const formData = new FormData();
formData.append('image', fs.createReadStream('/path/to/your/file.jpg'));
const response = await fetch('https://api.deepai.org/api/torch-srgan', {
method: 'POST',
headers: {
...formData.getHeaders(),
'api-key': 'YOUR_API_KEY'
},
body: formData as unknown as BodyInit
});
const data: ApiResponse = await response.json();
console.log(data);
return data;
}
uploadFile();
Exemples Super-résolution Dart
// Example posting a image URL:
// Add to pubspec.yaml: http: ^1.1.0
import 'dart:convert';
import 'package:http/http.dart' as http;
Future<void> main() async {
final response = await http.post(
Uri.parse('https://api.deepai.org/api/torch-srgan'),
headers: {
'Content-Type': 'application/json',
'api-key': 'YOUR_API_KEY',
},
body: jsonEncode({
'image': 'YOUR_IMAGE_URL',
}),
);
print(response.body);
}
// Example posting a local image file:
// Add to pubspec.yaml: http: ^1.1.0
import 'dart:io';
import 'package:http/http.dart' as http;
Future<void> main() async {
var request = http.MultipartRequest(
'POST',
Uri.parse('https://api.deepai.org/api/torch-srgan'),
);
request.headers['api-key'] = 'YOUR_API_KEY';
request.files.add(
await http.MultipartFile.fromPath('image', '/path/to/your/file.jpg'),
);
var response = await request.send();
var responseBody = await response.stream.bytesToString();
print(responseBody);
}
Exemples Super-résolution PowerShell
# Example posting a image URL:
$r = Invoke-WebRequest `
-Uri https://api.deepai.org/api/torch-srgan `
-Method Post `
-Form @{
image='YOUR_IMAGE_URL'
} `
-Headers @{
'api-key'='YOUR_API_KEY'
}
$r.Content
# Example posting a local image file:
$r = Invoke-WebRequest `
-Uri https://api.deepai.org/api/torch-srgan `
-Method Post `
-Form @{
image=Get-Item -Path '/path/to/your/file.jpg'
} `
-Headers @{
'api-key'='YOUR_API_KEY'
}
$r.Content
Waifu2x est un algorithme qui agrandit les images tout en réduisant le bruit qu'elles contiennent. Il tire son nom du style artistique propre aux anime, appelé « waifu », sur lequel il a été principalement entraîné. Même si les « waifus » constituaient la majeure partie des données d'entraînement, cette API Waifu2x offre toujours de bons résultats sur les photographies et d'autres types d'images. Vous pouvez utiliser Waifu2x pour doubler la taille de vos images tout en réduisant le bruit.
Point de terminaison : POST https://api.deepai.org/api/waifu2x
| Paramètre | Type | Obligatoire | Par défaut |
|---|---|---|---|
image |
image | Oui | — |
Exemples Waifu2x cURL
# Example posting a image URL:
curl \
-F 'image=YOUR_IMAGE_URL' \
-H 'api-key:YOUR_API_KEY' \
https://api.deepai.org/api/waifu2x
# Example posting a local image file:
curl \
-F 'image=@/path/to/your/file.jpg' \
-H 'api-key:YOUR_API_KEY' \
https://api.deepai.org/api/waifu2x
Exemples Waifu2x Javascript
// Example posting a image URL:
(async function() {
const resp = await fetch('https://api.deepai.org/api/waifu2x', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'api-key': 'YOUR_API_KEY'
},
body: JSON.stringify({
image: "YOUR_IMAGE_URL",
})
});
const data = await resp.json();
console.log(data);
})()
// Example posting file picker input image (Browser only):
document.getElementById('yourFileInputId').addEventListener('change', async function() {
const formData = new FormData();
formData.append('image', this.files[0]);
const resp = await fetch('https://api.deepai.org/api/waifu2x', {
method: 'POST',
headers: {
'api-key': 'YOUR_API_KEY'
},
body: formData
});
const data = await resp.json();
console.log(data);
});
// Example posting a local image file (Node.js only):
const fs = require('fs');
(async function() {
const formData = new FormData();
const jpgFileStream = fs.createReadStream("/path/to/your/file.jpg");
formData.append('image', jpgFileStream);
const resp = await fetch('https://api.deepai.org/api/waifu2x', {
method: 'POST',
headers: {
'api-key': 'YOUR_API_KEY'
},
body: formData
});
const data = await resp.json();
console.log(data);
});
Exemples Waifu2x Python
# Example posting a image URL:
import requests
r = requests.post(
"https://api.deepai.org/api/waifu2x",
data={
'image': 'YOUR_IMAGE_URL',
},
headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())
# Example posting a local image file:
import requests
r = requests.post(
"https://api.deepai.org/api/waifu2x",
files={
'image': open('/path/to/your/file.jpg', 'rb'),
},
headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())
Exemples Waifu2x Ruby
# Example posting a image URL:
require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/waifu2x', timeout: 600,
headers: {'api-key' => 'YOUR_API_KEY'},
payload: {
'image' => 'YOUR_IMAGE_URL',
}
)
puts r
# Example posting a local image file:
require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/waifu2x', timeout: 600,
headers: {'api-key' => 'YOUR_API_KEY'},
payload: {
'image' => File.new('/path/to/your/file.jpg'),
}
)
puts r
Exemples Waifu2x Php
// Example posting a image URL:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)
use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;
$client = new Client();
$headers = [
'api-key' => 'YOUR_API_KEY'
];
$options = [
'multipart' => [
[
'name' => 'image',
'contents' => 'YOUR_IMAGE_URL'
],
]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/waifu2x', $headers);
try {
$res = $client->sendAsync($request, $options)->wait();
echo $res->getBody();
} catch (Exception $e) {
echo 'Error: ' . $e->getMessage();
}
?>
// Example posting a local image file:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)
use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;
$client = new Client();
$headers = [
'api-key' => 'YOUR_API_KEY'
];
$options = [
'multipart' => [
[
'name' => 'image',
'contents' => Utils::tryFopen('/path/to/your/file.jpg', 'r')
],
]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/waifu2x', $headers);
try {
$res = $client->sendAsync($request, $options)->wait();
echo $res->getBody();
} catch (Exception $e) {
echo 'Error: ' . $e->getMessage();
}
?>
Exemples Waifu2x Go
// Example posting a image URL:
package main
import (
"bytes"
"encoding/json"
"fmt"
"io"
"net/http"
)
func main() {
url := "https://api.deepai.org/api/waifu2x"
payload := map[string]string{
"image": "YOUR_IMAGE_URL",
}
jsonData, _ := json.Marshal(payload)
req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
req.Header.Set("Content-Type", "application/json")
req.Header.Set("api-key", "YOUR_API_KEY")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(string(body))
}
// Example posting a local image file:
package main
import (
"bytes"
"fmt"
"io"
"mime/multipart"
"net/http"
"os"
)
func main() {
url := "https://api.deepai.org/api/waifu2x"
var b bytes.Buffer
w := multipart.NewWriter(&b)
imageFile, _ := os.Open("/path/to/your/file.jpg")
defer imageFile.Close()
imageWriter, _ := w.CreateFormFile("image", "file.jpg")
io.Copy(imageWriter, imageFile)
if err := w.Close(); err != nil {
panic(err)
}
req, _ := http.NewRequest("POST", url, &b)
req.Header.Set("Content-Type", w.FormDataContentType())
req.Header.Set("api-key", "YOUR_API_KEY")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(string(body))
}
Exemples Waifu2x Java
// Example posting a image URL:
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.URI;
public class Main {
public static void main(String[] args) throws Exception {
HttpClient client = HttpClient.newHttpClient();
String json = "{" +
"\"image\": \"YOUR_IMAGE_URL\"" +
"}";
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://api.deepai.org/api/waifu2x"))
.header("Content-Type", "application/json")
.header("api-key", "YOUR_API_KEY")
.POST(HttpRequest.BodyPublishers.ofString(json))
.build();
HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());
}
}
// Example posting a local image file:
// Add to build.gradle: implementation 'com.squareup.okhttp3:okhttp:4.12.0'
import okhttp3.*;
import java.io.File;
import java.io.IOException;
public class Main {
public static void main(String[] args) throws IOException {
OkHttpClient client = new OkHttpClient();
RequestBody requestBody = new MultipartBody.Builder()
.setType(MultipartBody.FORM)
.addFormDataPart("image", "file.jpg", RequestBody.create(new File("/path/to/your/file.jpg"), MediaType.parse("application/octet-stream")))
.build();
Request request = new Request.Builder()
.url("https://api.deepai.org/api/waifu2x")
.addHeader("api-key", "YOUR_API_KEY")
.post(requestBody)
.build();
try (Response response = client.newCall(request).execute()) {
System.out.println(response.body().string());
}
}
}
Exemples Waifu2x C#
// Example posting a image URL:
using System;
using System.Net.Http;
using System.Text;
using System.Text.Json;
using System.Threading.Tasks;
class Program
{
static async Task Main()
{
using var client = new HttpClient();
client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");
var payload = new
{
image = "YOUR_IMAGE_URL",
};
var json = JsonSerializer.Serialize(payload);
var content = new StringContent(json, Encoding.UTF8, "application/json");
var response = await client.PostAsync("https://api.deepai.org/api/waifu2x", content);
var result = await response.Content.ReadAsStringAsync();
Console.WriteLine(result);
}
}
// Example posting a local image file:
using System;
using System.IO;
using System.Net.Http;
using System.Threading.Tasks;
class Program
{
static async Task Main()
{
using var client = new HttpClient();
client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");
using var form = new MultipartFormDataContent();
var imageStream = File.OpenRead("/path/to/your/file.jpg");
form.Add(new StreamContent(imageStream), "image", "file.jpg");
var response = await client.PostAsync("https://api.deepai.org/api/waifu2x", form);
var result = await response.Content.ReadAsStringAsync();
Console.WriteLine(result);
}
}
Exemples Waifu2x Swift
// Example posting a image URL:
import Foundation
let url = URL(string: "https://api.deepai.org/api/waifu2x")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")
let payload: [String: Any] = [
"image": "YOUR_IMAGE_URL",
]
request.httpBody = try? JSONSerialization.data(withJSONObject: payload)
let task = URLSession.shared.dataTask(with: request) { data, response, error in
if let data = data {
print(String(data: data, encoding: .utf8) ?? "")
}
}
task.resume()
// Keep the program running for async request
RunLoop.main.run()
// Example posting a local image file:
import Foundation
let url = URL(string: "https://api.deepai.org/api/waifu2x")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")
let boundary = UUID().uuidString
request.setValue("multipart/form-data; boundary=\(boundary)", forHTTPHeaderField: "Content-Type")
var body = Data()
let imageData = try! Data(contentsOf: URL(fileURLWithPath: "/path/to/your/file.jpg"))
body.append("--\(boundary)\r\n".data(using: .utf8)!)
body.append("Content-Disposition: form-data; name=\"image\"; filename=\"file.jpg\"\r\n".data(using: .utf8)!)
body.append("Content-Type: application/octet-stream\r\n\r\n".data(using: .utf8)!)
body.append(imageData)
body.append("\r\n".data(using: .utf8)!)
body.append("--\(boundary)--\r\n".data(using: .utf8)!)
request.httpBody = body
let task = URLSession.shared.dataTask(with: request) { data, response, error in
if let data = data {
print(String(data: data, encoding: .utf8) ?? "")
}
}
task.resume()
RunLoop.main.run()
Exemples Waifu2x Kotlin
// Example posting a image URL:
import java.net.URI
import java.net.http.HttpClient
import java.net.http.HttpRequest
import java.net.http.HttpResponse
fun main() {
val client = HttpClient.newHttpClient()
val json = """{
"image": "YOUR_IMAGE_URL"
}"""
val request = HttpRequest.newBuilder()
.uri(URI.create("https://api.deepai.org/api/waifu2x"))
.header("Content-Type", "application/json")
.header("api-key", "YOUR_API_KEY")
.POST(HttpRequest.BodyPublishers.ofString(json))
.build()
val response = client.send(request, HttpResponse.BodyHandlers.ofString())
println(response.body())
}
// Example posting a local image file:
// Add to build.gradle.kts: implementation("com.squareup.okhttp3:okhttp:4.12.0")
import okhttp3.*
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.RequestBody.Companion.asRequestBody
import java.io.File
fun main() {
val client = OkHttpClient()
val requestBody = MultipartBody.Builder()
.setType(MultipartBody.FORM)
.addFormDataPart("image", "file.jpg", File("/path/to/your/file.jpg").asRequestBody("application/octet-stream".toMediaType()))
.build()
val request = Request.Builder()
.url("https://api.deepai.org/api/waifu2x")
.addHeader("api-key", "YOUR_API_KEY")
.post(requestBody)
.build()
client.newCall(request).execute().use { response ->
println(response.body?.string())
}
}
Exemples Waifu2x Rust
// Example posting a image URL:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }
// serde_json = "1"
use reqwest::header::HeaderMap;
use std::collections::HashMap;
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let client = reqwest::Client::new();
let mut headers = HeaderMap::new();
headers.insert("api-key", "YOUR_API_KEY".parse()?);
let mut payload = HashMap::new();
payload.insert("image", "YOUR_IMAGE_URL");
let response = client
.post("https://api.deepai.org/api/waifu2x")
.headers(headers)
.json(&payload)
.send()
.await?;
println!("{}", response.text().await?);
Ok(())
}
// Example posting a local image file:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }
use reqwest::multipart;
use std::fs;
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let client = reqwest::Client::new();
let form = multipart::Form::new()
.file("image", "/path/to/your/file.jpg")?;
let response = client
.post("https://api.deepai.org/api/waifu2x")
.header("api-key", "YOUR_API_KEY")
.multipart(form)
.send()
.await?;
println!("{}", response.text().await?);
Ok(())
}
Exemples Waifu2x TypeScript
// Example posting a image URL:
interface ApiResponse {
// Define your response type here
[key: string]: unknown;
}
async function callApi(): Promise<ApiResponse> {
const response = await fetch('https://api.deepai.org/api/waifu2x', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'api-key': 'YOUR_API_KEY'
},
body: JSON.stringify({
image: 'YOUR_IMAGE_URL',
})
});
const data: ApiResponse = await response.json();
console.log(data);
return data;
}
callApi();
// Example posting a local image file (Node.js with form-data package):
// npm install form-data
import * as fs from 'fs';
import FormData from 'form-data';
interface ApiResponse {
[key: string]: unknown;
}
async function uploadFile(): Promise<ApiResponse> {
const formData = new FormData();
formData.append('image', fs.createReadStream('/path/to/your/file.jpg'));
const response = await fetch('https://api.deepai.org/api/waifu2x', {
method: 'POST',
headers: {
...formData.getHeaders(),
'api-key': 'YOUR_API_KEY'
},
body: formData as unknown as BodyInit
});
const data: ApiResponse = await response.json();
console.log(data);
return data;
}
uploadFile();
Exemples Waifu2x Dart
// Example posting a image URL:
// Add to pubspec.yaml: http: ^1.1.0
import 'dart:convert';
import 'package:http/http.dart' as http;
Future<void> main() async {
final response = await http.post(
Uri.parse('https://api.deepai.org/api/waifu2x'),
headers: {
'Content-Type': 'application/json',
'api-key': 'YOUR_API_KEY',
},
body: jsonEncode({
'image': 'YOUR_IMAGE_URL',
}),
);
print(response.body);
}
// Example posting a local image file:
// Add to pubspec.yaml: http: ^1.1.0
import 'dart:io';
import 'package:http/http.dart' as http;
Future<void> main() async {
var request = http.MultipartRequest(
'POST',
Uri.parse('https://api.deepai.org/api/waifu2x'),
);
request.headers['api-key'] = 'YOUR_API_KEY';
request.files.add(
await http.MultipartFile.fromPath('image', '/path/to/your/file.jpg'),
);
var response = await request.send();
var responseBody = await response.stream.bytesToString();
print(responseBody);
}
Exemples Waifu2x PowerShell
# Example posting a image URL:
$r = Invoke-WebRequest `
-Uri https://api.deepai.org/api/waifu2x `
-Method Post `
-Form @{
image='YOUR_IMAGE_URL'
} `
-Headers @{
'api-key'='YOUR_API_KEY'
}
$r.Content
# Example posting a local image file:
$r = Invoke-WebRequest `
-Uri https://api.deepai.org/api/waifu2x `
-Method Post `
-Form @{
image=Get-Item -Path '/path/to/your/file.jpg'
} `
-Headers @{
'api-key'='YOUR_API_KEY'
}
$r.Content
Point de terminaison : POST https://api.deepai.org/api/creative-upscale
| Paramètre | Type | Obligatoire | Par défaut |
|---|---|---|---|
image |
image | Oui | — |
Exemples Agrandissement créatif cURL
# Example posting a image URL:
curl \
-F 'image=YOUR_IMAGE_URL' \
-H 'api-key:YOUR_API_KEY' \
https://api.deepai.org/api/creative-upscale
# Example posting a local image file:
curl \
-F 'image=@/path/to/your/file.jpg' \
-H 'api-key:YOUR_API_KEY' \
https://api.deepai.org/api/creative-upscale
Exemples Agrandissement créatif Javascript
// Example posting a image URL:
(async function() {
const resp = await fetch('https://api.deepai.org/api/creative-upscale', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'api-key': 'YOUR_API_KEY'
},
body: JSON.stringify({
image: "YOUR_IMAGE_URL",
})
});
const data = await resp.json();
console.log(data);
})()
// Example posting file picker input image (Browser only):
document.getElementById('yourFileInputId').addEventListener('change', async function() {
const formData = new FormData();
formData.append('image', this.files[0]);
const resp = await fetch('https://api.deepai.org/api/creative-upscale', {
method: 'POST',
headers: {
'api-key': 'YOUR_API_KEY'
},
body: formData
});
const data = await resp.json();
console.log(data);
});
// Example posting a local image file (Node.js only):
const fs = require('fs');
(async function() {
const formData = new FormData();
const jpgFileStream = fs.createReadStream("/path/to/your/file.jpg");
formData.append('image', jpgFileStream);
const resp = await fetch('https://api.deepai.org/api/creative-upscale', {
method: 'POST',
headers: {
'api-key': 'YOUR_API_KEY'
},
body: formData
});
const data = await resp.json();
console.log(data);
});
Exemples Agrandissement créatif Python
# Example posting a image URL:
import requests
r = requests.post(
"https://api.deepai.org/api/creative-upscale",
data={
'image': 'YOUR_IMAGE_URL',
},
headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())
# Example posting a local image file:
import requests
r = requests.post(
"https://api.deepai.org/api/creative-upscale",
files={
'image': open('/path/to/your/file.jpg', 'rb'),
},
headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())
Exemples Agrandissement créatif Ruby
# Example posting a image URL:
require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/creative-upscale', timeout: 600,
headers: {'api-key' => 'YOUR_API_KEY'},
payload: {
'image' => 'YOUR_IMAGE_URL',
}
)
puts r
# Example posting a local image file:
require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/creative-upscale', timeout: 600,
headers: {'api-key' => 'YOUR_API_KEY'},
payload: {
'image' => File.new('/path/to/your/file.jpg'),
}
)
puts r
Exemples Agrandissement créatif Php
// Example posting a image URL:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)
use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;
$client = new Client();
$headers = [
'api-key' => 'YOUR_API_KEY'
];
$options = [
'multipart' => [
[
'name' => 'image',
'contents' => 'YOUR_IMAGE_URL'
],
]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/creative-upscale', $headers);
try {
$res = $client->sendAsync($request, $options)->wait();
echo $res->getBody();
} catch (Exception $e) {
echo 'Error: ' . $e->getMessage();
}
?>
// Example posting a local image file:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)
use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;
$client = new Client();
$headers = [
'api-key' => 'YOUR_API_KEY'
];
$options = [
'multipart' => [
[
'name' => 'image',
'contents' => Utils::tryFopen('/path/to/your/file.jpg', 'r')
],
]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/creative-upscale', $headers);
try {
$res = $client->sendAsync($request, $options)->wait();
echo $res->getBody();
} catch (Exception $e) {
echo 'Error: ' . $e->getMessage();
}
?>
Exemples Agrandissement créatif Go
// Example posting a image URL:
package main
import (
"bytes"
"encoding/json"
"fmt"
"io"
"net/http"
)
func main() {
url := "https://api.deepai.org/api/creative-upscale"
payload := map[string]string{
"image": "YOUR_IMAGE_URL",
}
jsonData, _ := json.Marshal(payload)
req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
req.Header.Set("Content-Type", "application/json")
req.Header.Set("api-key", "YOUR_API_KEY")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(string(body))
}
// Example posting a local image file:
package main
import (
"bytes"
"fmt"
"io"
"mime/multipart"
"net/http"
"os"
)
func main() {
url := "https://api.deepai.org/api/creative-upscale"
var b bytes.Buffer
w := multipart.NewWriter(&b)
imageFile, _ := os.Open("/path/to/your/file.jpg")
defer imageFile.Close()
imageWriter, _ := w.CreateFormFile("image", "file.jpg")
io.Copy(imageWriter, imageFile)
if err := w.Close(); err != nil {
panic(err)
}
req, _ := http.NewRequest("POST", url, &b)
req.Header.Set("Content-Type", w.FormDataContentType())
req.Header.Set("api-key", "YOUR_API_KEY")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(string(body))
}
Exemples Agrandissement créatif Java
// Example posting a image URL:
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.URI;
public class Main {
public static void main(String[] args) throws Exception {
HttpClient client = HttpClient.newHttpClient();
String json = "{" +
"\"image\": \"YOUR_IMAGE_URL\"" +
"}";
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://api.deepai.org/api/creative-upscale"))
.header("Content-Type", "application/json")
.header("api-key", "YOUR_API_KEY")
.POST(HttpRequest.BodyPublishers.ofString(json))
.build();
HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());
}
}
// Example posting a local image file:
// Add to build.gradle: implementation 'com.squareup.okhttp3:okhttp:4.12.0'
import okhttp3.*;
import java.io.File;
import java.io.IOException;
public class Main {
public static void main(String[] args) throws IOException {
OkHttpClient client = new OkHttpClient();
RequestBody requestBody = new MultipartBody.Builder()
.setType(MultipartBody.FORM)
.addFormDataPart("image", "file.jpg", RequestBody.create(new File("/path/to/your/file.jpg"), MediaType.parse("application/octet-stream")))
.build();
Request request = new Request.Builder()
.url("https://api.deepai.org/api/creative-upscale")
.addHeader("api-key", "YOUR_API_KEY")
.post(requestBody)
.build();
try (Response response = client.newCall(request).execute()) {
System.out.println(response.body().string());
}
}
}
Exemples Agrandissement créatif C#
// Example posting a image URL:
using System;
using System.Net.Http;
using System.Text;
using System.Text.Json;
using System.Threading.Tasks;
class Program
{
static async Task Main()
{
using var client = new HttpClient();
client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");
var payload = new
{
image = "YOUR_IMAGE_URL",
};
var json = JsonSerializer.Serialize(payload);
var content = new StringContent(json, Encoding.UTF8, "application/json");
var response = await client.PostAsync("https://api.deepai.org/api/creative-upscale", content);
var result = await response.Content.ReadAsStringAsync();
Console.WriteLine(result);
}
}
// Example posting a local image file:
using System;
using System.IO;
using System.Net.Http;
using System.Threading.Tasks;
class Program
{
static async Task Main()
{
using var client = new HttpClient();
client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");
using var form = new MultipartFormDataContent();
var imageStream = File.OpenRead("/path/to/your/file.jpg");
form.Add(new StreamContent(imageStream), "image", "file.jpg");
var response = await client.PostAsync("https://api.deepai.org/api/creative-upscale", form);
var result = await response.Content.ReadAsStringAsync();
Console.WriteLine(result);
}
}
Exemples Agrandissement créatif Swift
// Example posting a image URL:
import Foundation
let url = URL(string: "https://api.deepai.org/api/creative-upscale")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")
let payload: [String: Any] = [
"image": "YOUR_IMAGE_URL",
]
request.httpBody = try? JSONSerialization.data(withJSONObject: payload)
let task = URLSession.shared.dataTask(with: request) { data, response, error in
if let data = data {
print(String(data: data, encoding: .utf8) ?? "")
}
}
task.resume()
// Keep the program running for async request
RunLoop.main.run()
// Example posting a local image file:
import Foundation
let url = URL(string: "https://api.deepai.org/api/creative-upscale")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")
let boundary = UUID().uuidString
request.setValue("multipart/form-data; boundary=\(boundary)", forHTTPHeaderField: "Content-Type")
var body = Data()
let imageData = try! Data(contentsOf: URL(fileURLWithPath: "/path/to/your/file.jpg"))
body.append("--\(boundary)\r\n".data(using: .utf8)!)
body.append("Content-Disposition: form-data; name=\"image\"; filename=\"file.jpg\"\r\n".data(using: .utf8)!)
body.append("Content-Type: application/octet-stream\r\n\r\n".data(using: .utf8)!)
body.append(imageData)
body.append("\r\n".data(using: .utf8)!)
body.append("--\(boundary)--\r\n".data(using: .utf8)!)
request.httpBody = body
let task = URLSession.shared.dataTask(with: request) { data, response, error in
if let data = data {
print(String(data: data, encoding: .utf8) ?? "")
}
}
task.resume()
RunLoop.main.run()
Exemples Agrandissement créatif Kotlin
// Example posting a image URL:
import java.net.URI
import java.net.http.HttpClient
import java.net.http.HttpRequest
import java.net.http.HttpResponse
fun main() {
val client = HttpClient.newHttpClient()
val json = """{
"image": "YOUR_IMAGE_URL"
}"""
val request = HttpRequest.newBuilder()
.uri(URI.create("https://api.deepai.org/api/creative-upscale"))
.header("Content-Type", "application/json")
.header("api-key", "YOUR_API_KEY")
.POST(HttpRequest.BodyPublishers.ofString(json))
.build()
val response = client.send(request, HttpResponse.BodyHandlers.ofString())
println(response.body())
}
// Example posting a local image file:
// Add to build.gradle.kts: implementation("com.squareup.okhttp3:okhttp:4.12.0")
import okhttp3.*
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.RequestBody.Companion.asRequestBody
import java.io.File
fun main() {
val client = OkHttpClient()
val requestBody = MultipartBody.Builder()
.setType(MultipartBody.FORM)
.addFormDataPart("image", "file.jpg", File("/path/to/your/file.jpg").asRequestBody("application/octet-stream".toMediaType()))
.build()
val request = Request.Builder()
.url("https://api.deepai.org/api/creative-upscale")
.addHeader("api-key", "YOUR_API_KEY")
.post(requestBody)
.build()
client.newCall(request).execute().use { response ->
println(response.body?.string())
}
}
Exemples Agrandissement créatif Rust
// Example posting a image URL:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }
// serde_json = "1"
use reqwest::header::HeaderMap;
use std::collections::HashMap;
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let client = reqwest::Client::new();
let mut headers = HeaderMap::new();
headers.insert("api-key", "YOUR_API_KEY".parse()?);
let mut payload = HashMap::new();
payload.insert("image", "YOUR_IMAGE_URL");
let response = client
.post("https://api.deepai.org/api/creative-upscale")
.headers(headers)
.json(&payload)
.send()
.await?;
println!("{}", response.text().await?);
Ok(())
}
// Example posting a local image file:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }
use reqwest::multipart;
use std::fs;
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let client = reqwest::Client::new();
let form = multipart::Form::new()
.file("image", "/path/to/your/file.jpg")?;
let response = client
.post("https://api.deepai.org/api/creative-upscale")
.header("api-key", "YOUR_API_KEY")
.multipart(form)
.send()
.await?;
println!("{}", response.text().await?);
Ok(())
}
Exemples Agrandissement créatif TypeScript
// Example posting a image URL:
interface ApiResponse {
// Define your response type here
[key: string]: unknown;
}
async function callApi(): Promise<ApiResponse> {
const response = await fetch('https://api.deepai.org/api/creative-upscale', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'api-key': 'YOUR_API_KEY'
},
body: JSON.stringify({
image: 'YOUR_IMAGE_URL',
})
});
const data: ApiResponse = await response.json();
console.log(data);
return data;
}
callApi();
// Example posting a local image file (Node.js with form-data package):
// npm install form-data
import * as fs from 'fs';
import FormData from 'form-data';
interface ApiResponse {
[key: string]: unknown;
}
async function uploadFile(): Promise<ApiResponse> {
const formData = new FormData();
formData.append('image', fs.createReadStream('/path/to/your/file.jpg'));
const response = await fetch('https://api.deepai.org/api/creative-upscale', {
method: 'POST',
headers: {
...formData.getHeaders(),
'api-key': 'YOUR_API_KEY'
},
body: formData as unknown as BodyInit
});
const data: ApiResponse = await response.json();
console.log(data);
return data;
}
uploadFile();
Exemples Agrandissement créatif Dart
// Example posting a image URL:
// Add to pubspec.yaml: http: ^1.1.0
import 'dart:convert';
import 'package:http/http.dart' as http;
Future<void> main() async {
final response = await http.post(
Uri.parse('https://api.deepai.org/api/creative-upscale'),
headers: {
'Content-Type': 'application/json',
'api-key': 'YOUR_API_KEY',
},
body: jsonEncode({
'image': 'YOUR_IMAGE_URL',
}),
);
print(response.body);
}
// Example posting a local image file:
// Add to pubspec.yaml: http: ^1.1.0
import 'dart:io';
import 'package:http/http.dart' as http;
Future<void> main() async {
var request = http.MultipartRequest(
'POST',
Uri.parse('https://api.deepai.org/api/creative-upscale'),
);
request.headers['api-key'] = 'YOUR_API_KEY';
request.files.add(
await http.MultipartFile.fromPath('image', '/path/to/your/file.jpg'),
);
var response = await request.send();
var responseBody = await response.stream.bytesToString();
print(responseBody);
}
Exemples Agrandissement créatif PowerShell
# Example posting a image URL:
$r = Invoke-WebRequest `
-Uri https://api.deepai.org/api/creative-upscale `
-Method Post `
-Form @{
image='YOUR_IMAGE_URL'
} `
-Headers @{
'api-key'='YOUR_API_KEY'
}
$r.Content
# Example posting a local image file:
$r = Invoke-WebRequest `
-Uri https://api.deepai.org/api/creative-upscale `
-Method Post `
-Form @{
image=Get-Item -Path '/path/to/your/file.jpg'
} `
-Headers @{
'api-key'='YOUR_API_KEY'
}
$r.Content
Remplacer et modifier des objets dans des images grâce à l'IA.
Point de terminaison : POST https://api.deepai.org/api/image-replace
| Paramètre | Type | Obligatoire | Par défaut |
|---|---|---|---|
image |
image | Oui | — |
mask |
image | Oui | — |
text |
text | Oui | — |
Exemples Remplacement d'image cURL
# Example posting a image URL:
curl \
-F 'text=YOUR_TEXT_HERE' \
-F 'mask=YOUR_IMAGE_URL' \
-F 'image=YOUR_IMAGE_URL' \
-H 'api-key:YOUR_API_KEY' \
https://api.deepai.org/api/image-replace
# Example posting a local image file:
curl \
-F 'text=YOUR_TEXT_HERE' \
-F 'mask=@/path/to/your/file.jpg' \
-F 'image=@/path/to/your/file.jpg' \
-H 'api-key:YOUR_API_KEY' \
https://api.deepai.org/api/image-replace
# Example directly sending a text string:
curl \
-F 'text=YOUR_TEXT_HERE' \
-F 'mask=YOUR_TEXT_HERE' \
-F 'image=YOUR_TEXT_HERE' \
-H 'api-key:YOUR_API_KEY' \
https://api.deepai.org/api/image-replace
Exemples Remplacement d'image Javascript
// Example posting a image URL:
(async function() {
const resp = await fetch('https://api.deepai.org/api/image-replace', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'api-key': 'YOUR_API_KEY'
},
body: JSON.stringify({
text: "YOUR_TEXT_HERE",
mask: "YOUR_IMAGE_URL",
image: "YOUR_IMAGE_URL",
})
});
const data = await resp.json();
console.log(data);
})()
// Example posting file picker input image (Browser only):
document.getElementById('yourFileInputId').addEventListener('change', async function() {
const formData = new FormData();
formData.append('text', 'YOUR_TEXT_HERE');
formData.append('mask', this.files[0]);
formData.append('image', this.files[1]);
const resp = await fetch('https://api.deepai.org/api/image-replace', {
method: 'POST',
headers: {
'api-key': 'YOUR_API_KEY'
},
body: formData
});
const data = await resp.json();
console.log(data);
});
// Example posting a local image file (Node.js only):
const fs = require('fs');
(async function() {
const formData = new FormData();
formData.append('text', 'YOUR_TEXT_HERE');
const jpgFileStream = fs.createReadStream("/path/to/your/file.jpg");
formData.append('mask', jpgFileStream);
const jpgFileStream = fs.createReadStream("/path/to/your/file.jpg");
formData.append('image', jpgFileStream);
const resp = await fetch('https://api.deepai.org/api/image-replace', {
method: 'POST',
headers: {
'api-key': 'YOUR_API_KEY'
},
body: formData
});
const data = await resp.json();
console.log(data);
});
// Example directly sending a text string:
(async function() {
const resp = await fetch('https://api.deepai.org/api/image-replace', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'api-key': 'YOUR_API_KEY'
},
body: JSON.stringify({
text: "YOUR_TEXT_HERE",
mask: "YOUR_TEXT_HERE",
image: "YOUR_TEXT_HERE",
})
});
const data = await resp.json();
console.log(data);
})()
Exemples Remplacement d'image Python
# Example posting a image URL:
import requests
r = requests.post(
"https://api.deepai.org/api/image-replace",
data={
'text': 'YOUR_TEXT_HERE',
'mask': 'YOUR_IMAGE_URL',
'image': 'YOUR_IMAGE_URL',
},
headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())
# Example posting a local image file:
import requests
r = requests.post(
"https://api.deepai.org/api/image-replace",
files={
'mask': open('/path/to/your/file.jpg', 'rb'),
'image': open('/path/to/your/file.jpg', 'rb'),
},
data={
'text': 'YOUR_TEXT_HERE',
},
headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())
# Example directly sending a text string:
import requests
r = requests.post(
"https://api.deepai.org/api/image-replace",
data={
'text': 'YOUR_TEXT_HERE',
'mask': 'YOUR_TEXT_HERE',
'image': 'YOUR_TEXT_HERE',
},
headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())
Exemples Remplacement d'image Ruby
# Example posting a image URL:
require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/image-replace', timeout: 600,
headers: {'api-key' => 'YOUR_API_KEY'},
payload: {
'text' => 'YOUR_TEXT_HERE',
'mask' => 'YOUR_IMAGE_URL',
'image' => 'YOUR_IMAGE_URL',
}
)
puts r
# Example posting a local image file:
require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/image-replace', timeout: 600,
headers: {'api-key' => 'YOUR_API_KEY'},
payload: {
'text' => 'YOUR_TEXT_HERE',
'mask' => File.new('/path/to/your/file.jpg'),
'image' => File.new('/path/to/your/file.jpg'),
}
)
puts r
# Example directly sending a text string:
require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/image-replace', timeout: 600,
headers: {'api-key' => 'YOUR_API_KEY'},
payload: {
'text' => 'YOUR_TEXT_HERE',
'mask' => 'YOUR_TEXT_HERE',
'image' => 'YOUR_TEXT_HERE',
}
)
puts r
Exemples Remplacement d'image Php
// Example posting a image URL:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)
use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;
$client = new Client();
$headers = [
'api-key' => 'YOUR_API_KEY'
];
$options = [
'multipart' => [
[
'name' => 'text',
'contents' => 'YOUR_TEXT_HERE'
],
[
'name' => 'mask',
'contents' => 'YOUR_IMAGE_URL'
],
[
'name' => 'image',
'contents' => 'YOUR_IMAGE_URL'
],
]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/image-replace', $headers);
try {
$res = $client->sendAsync($request, $options)->wait();
echo $res->getBody();
} catch (Exception $e) {
echo 'Error: ' . $e->getMessage();
}
?>
// Example posting a local image file:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)
use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;
$client = new Client();
$headers = [
'api-key' => 'YOUR_API_KEY'
];
$options = [
'multipart' => [
[
'name' => 'text',
'contents' => 'YOUR_TEXT_HERE'
],
[
'name' => 'mask',
'contents' => Utils::tryFopen('/path/to/your/file.jpg', 'r')
],
[
'name' => 'image',
'contents' => Utils::tryFopen('/path/to/your/file.jpg', 'r')
],
]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/image-replace', $headers);
try {
$res = $client->sendAsync($request, $options)->wait();
echo $res->getBody();
} catch (Exception $e) {
echo 'Error: ' . $e->getMessage();
}
?>
// Example directly sending a text string:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)
use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;
$client = new Client();
$headers = [
'api-key' => 'YOUR_API_KEY'
];
$options = [
'multipart' => [
[
'name' => 'text',
'contents' => 'YOUR_TEXT_HERE'
],
[
'name' => 'mask',
'contents' => 'YOUR_TEXT_HERE'
],
[
'name' => 'image',
'contents' => 'YOUR_TEXT_HERE'
],
]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/image-replace', $headers);
try {
$res = $client->sendAsync($request, $options)->wait();
echo $res->getBody();
} catch (Exception $e) {
echo 'Error: ' . $e->getMessage();
}
?>
Exemples Remplacement d'image Go
// Example posting a image URL:
package main
import (
"bytes"
"encoding/json"
"fmt"
"io"
"net/http"
)
func main() {
url := "https://api.deepai.org/api/image-replace"
payload := map[string]string{
"text": "YOUR_TEXT_HERE",
"mask": "YOUR_IMAGE_URL",
"image": "YOUR_IMAGE_URL",
}
jsonData, _ := json.Marshal(payload)
req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
req.Header.Set("Content-Type", "application/json")
req.Header.Set("api-key", "YOUR_API_KEY")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(string(body))
}
// Example posting a local image file:
package main
import (
"bytes"
"fmt"
"io"
"mime/multipart"
"net/http"
"os"
)
func main() {
url := "https://api.deepai.org/api/image-replace"
var b bytes.Buffer
w := multipart.NewWriter(&b)
w.WriteField("text", "YOUR_TEXT_HERE")
maskFile, _ := os.Open("/path/to/your/file.jpg")
defer maskFile.Close()
maskWriter, _ := w.CreateFormFile("mask", "file.jpg")
io.Copy(maskWriter, maskFile)
imageFile, _ := os.Open("/path/to/your/file.jpg")
defer imageFile.Close()
imageWriter, _ := w.CreateFormFile("image", "file.jpg")
io.Copy(imageWriter, imageFile)
if err := w.Close(); err != nil {
panic(err)
}
req, _ := http.NewRequest("POST", url, &b)
req.Header.Set("Content-Type", w.FormDataContentType())
req.Header.Set("api-key", "YOUR_API_KEY")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(string(body))
}
// Example directly sending a text string:
package main
import (
"bytes"
"encoding/json"
"fmt"
"io"
"net/http"
)
func main() {
url := "https://api.deepai.org/api/image-replace"
payload := map[string]string{
"text": "YOUR_TEXT_HERE",
"mask": "YOUR_TEXT_HERE",
"image": "YOUR_TEXT_HERE",
}
jsonData, _ := json.Marshal(payload)
req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
req.Header.Set("Content-Type", "application/json")
req.Header.Set("api-key", "YOUR_API_KEY")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := io.ReadAll(resp.Body)
fmt.Println(string(body))
}
Exemples Remplacement d'image Java
// Example posting a image URL:
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.URI;
public class Main {
public static void main(String[] args) throws Exception {
HttpClient client = HttpClient.newHttpClient();
String json = "{" +
"\"text\": \"YOUR_TEXT_HERE\"" +
"\"mask\": \"YOUR_IMAGE_URL\"" +
"\"image\": \"YOUR_IMAGE_URL\"" +
"}";
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://api.deepai.org/api/image-replace"))
.header("Content-Type", "application/json")
.header("api-key", "YOUR_API_KEY")
.POST(HttpRequest.BodyPublishers.ofString(json))
.build();
HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());
}
}
// Example posting a local image file:
// Add to build.gradle: implementation 'com.squareup.okhttp3:okhttp:4.12.0'
import okhttp3.*;
import java.io.File;
import java.io.IOException;
public class Main {
public static void main(String[] args) throws IOException {
OkHttpClient client = new OkHttpClient();
RequestBody requestBody = new MultipartBody.Builder()
.setType(MultipartBody.FORM)
.addFormDataPart("text", "YOUR_TEXT_HERE")
.addFormDataPart("mask", "file.jpg", RequestBody.create(new File("/path/to/your/file.jpg"), MediaType.parse("application/octet-stream")))
.addFormDataPart("image", "file.jpg", RequestBody.create(new File("/path/to/your/file.jpg"), MediaType.parse("application/octet-stream")))
.build();
Request request = new Request.Builder()
.url("https://api.deepai.org/api/image-replace")
.addHeader("api-key", "YOUR_API_KEY")
.post(requestBody)
.build();
try (Response response = client.newCall(request).execute()) {
System.out.println(response.body().string());
}
}
}
// Example directly sending a text string:
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.URI;
public class Main {
public static void main(String[] args) throws Exception {
HttpClient client = HttpClient.newHttpClient();
String json = "{" +
"\"text\": \"YOUR_TEXT_HERE\"" +
"\"mask\": \"YOUR_TEXT_HERE\"" +
"\"image\": \"YOUR_TEXT_HERE\"" +
"}";
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://api.deepai.org/api/image-replace"))
.header("Content-Type", "application/json")
.header("api-key", "YOUR_API_KEY")
.POST(HttpRequest.BodyPublishers.ofString(json))
.build();
HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());
}
}
Exemples Remplacement d'image C#
// Example posting a image URL:
using System;
using System.Net.Http;
using System.Text;
using System.Text.Json;
using System.Threading.Tasks;
class Program
{
static async Task Main()
{
using var client = new HttpClient();
client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");
var payload = new
{
text = "YOUR_TEXT_HERE",
mask = "YOUR_IMAGE_URL",
image = "YOUR_IMAGE_URL",
};
var json = JsonSerializer.Serialize(payload);
var content = new StringContent(json, Encoding.UTF8, "application/json");
var response = await client.PostAsync("https://api.deepai.org/api/image-replace", content);
var result = await response.Content.ReadAsStringAsync();
Console.WriteLine(result);
}
}
// Example posting a local image file:
using System;
using System.IO;
using System.Net.Http;
using System.Threading.Tasks;
class Program
{
static async Task Main()
{
using var client = new HttpClient();
client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");
using var form = new MultipartFormDataContent();
form.Add(new StringContent("YOUR_TEXT_HERE"), "text");
var maskStream = File.OpenRead("/path/to/your/file.jpg");
form.Add(new StreamContent(maskStream), "mask", "file.jpg");
var imageStream = File.OpenRead("/path/to/your/file.jpg");
form.Add(new StreamContent(imageStream), "image", "file.jpg");
var response = await client.PostAsync("https://api.deepai.org/api/image-replace", form);
var result = await response.Content.ReadAsStringAsync();
Console.WriteLine(result);
}
}
// Example directly sending a text string:
using System;
using System.Net.Http;
using System.Text;
using System.Text.Json;
using System.Threading.Tasks;
class Program
{
static async Task Main()
{
using var client = new HttpClient();
client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");
var payload = new
{
text = "YOUR_TEXT_HERE",
mask = "YOUR_TEXT_HERE",
image = "YOUR_TEXT_HERE",
};
var json = JsonSerializer.Serialize(payload);
var content = new StringContent(json, Encoding.UTF8, "application/json");
var response = await client.PostAsync("https://api.deepai.org/api/image-replace", content);
var result = await response.Content.ReadAsStringAsync();
Console.WriteLine(result);
}
}
Exemples Remplacement d'image Swift
// Example posting a image URL:
import Foundation
let url = URL(string: "https://api.deepai.org/api/image-replace")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")
let payload: [String: Any] = [
"text": "YOUR_TEXT_HERE",
"mask": "YOUR_IMAGE_URL",
"image": "YOUR_IMAGE_URL",
]
request.httpBody = try? JSONSerialization.data(withJSONObject: payload)
let task = URLSession.shared.dataTask(with: request) { data, response, error in
if let data = data {
print(String(data: data, encoding: .utf8) ?? "")
}
}
task.resume()
// Keep the program running for async request
RunLoop.main.run()
// Example posting a local image file:
import Foundation
let url = URL(string: "https://api.deepai.org/api/image-replace")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")
let boundary = UUID().uuidString
request.setValue("multipart/form-data; boundary=\(boundary)", forHTTPHeaderField: "Content-Type")
var body = Data()
body.append("--\(boundary)\r\n".data(using: .utf8)!)
body.append("Content-Disposition: form-data; name=\"text\"\r\n\r\n".data(using: .utf8)!)
body.append("YOUR_TEXT_HERE".data(using: .utf8)!)
body.append("\r\n".data(using: .utf8)!)
let maskData = try! Data(contentsOf: URL(fileURLWithPath: "/path/to/your/file.jpg"))
body.append("--\(boundary)\r\n".data(using: .utf8)!)
body.append("Content-Disposition: form-data; name=\"mask\"; filename=\"file.jpg\"\r\n".data(using: .utf8)!)
body.append("Content-Type: application/octet-stream\r\n\r\n".data(using: .utf8)!)
body.append(maskData)
body.append("\r\n".data(using: .utf8)!)
let imageData = try! Data(contentsOf: URL(fileURLWithPath: "/path/to/your/file.jpg"))
body.append("--\(boundary)\r\n".data(using: .utf8)!)
body.append("Content-Disposition: form-data; name=\"image\"; filename=\"file.jpg\"\r\n".data(using: .utf8)!)
body.append("Content-Type: application/octet-stream\r\n\r\n".data(using: .utf8)!)
body.append(imageData)
body.append("\r\n".data(using: .utf8)!)
body.append("--\(boundary)--\r\n".data(using: .utf8)!)
request.httpBody = body
let task = URLSession.shared.dataTask(with: request) { data, response, error in
if let data = data {
print(String(data: data, encoding: .utf8) ?? "")
}
}
task.resume()
RunLoop.main.run()
// Example directly sending a text string:
import Foundation
let url = URL(string: "https://api.deepai.org/api/image-replace")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")
let payload: [String: Any] = [
"text": "YOUR_TEXT_HERE",
"mask": "YOUR_TEXT_HERE",
"image": "YOUR_TEXT_HERE",
]
request.httpBody = try? JSONSerialization.data(withJSONObject: payload)
let task = URLSession.shared.dataTask(with: request) { data, response, error in
if let data = data {
print(String(data: data, encoding: .utf8) ?? "")
}
}
task.resume()
RunLoop.main.run()
Exemples Remplacement d'image Kotlin
// Example posting a image URL:
import java.net.URI
import java.net.http.HttpClient
import java.net.http.HttpRequest
import java.net.http.HttpResponse
fun main() {
val client = HttpClient.newHttpClient()
val json = """{
"text": "YOUR_TEXT_HERE",
"mask": "YOUR_IMAGE_URL",
"image": "YOUR_IMAGE_URL"
}"""
val request = HttpRequest.newBuilder()
.uri(URI.create("https://api.deepai.org/api/image-replace"))
.header("Content-Type", "application/json")
.header("api-key", "YOUR_API_KEY")
.POST(HttpRequest.BodyPublishers.ofString(json))
.build()
val response = client.send(request, HttpResponse.BodyHandlers.ofString())
println(response.body())
}
// Example posting a local image file:
// Add to build.gradle.kts: implementation("com.squareup.okhttp3:okhttp:4.12.0")
import okhttp3.*
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.RequestBody.Companion.asRequestBody
import java.io.File
fun main() {
val client = OkHttpClient()
val requestBody = MultipartBody.Builder()
.setType(MultipartBody.FORM)
.addFormDataPart("text", "YOUR_TEXT_HERE")
.addFormDataPart("mask", "file.jpg", File("/path/to/your/file.jpg").asRequestBody("application/octet-stream".toMediaType()))
.addFormDataPart("image", "file.jpg", File("/path/to/your/file.jpg").asRequestBody("application/octet-stream".toMediaType()))
.build()
val request = Request.Builder()
.url("https://api.deepai.org/api/image-replace")
.addHeader("api-key", "YOUR_API_KEY")
.post(requestBody)
.build()
client.newCall(request).execute().use { response ->
println(response.body?.string())
}
}
// Example directly sending a text string:
import java.net.URI
import java.net.http.HttpClient
import java.net.http.HttpRequest
import java.net.http.HttpResponse
fun main() {
val client = HttpClient.newHttpClient()
val json = """{
"text": "YOUR_TEXT_HERE",
"mask": "YOUR_TEXT_HERE",
"image": "YOUR_TEXT_HERE"
}"""
val request = HttpRequest.newBuilder()
.uri(URI.create("https://api.deepai.org/api/image-replace"))
.header("Content-Type", "application/json")
.header("api-key", "YOUR_API_KEY")
.POST(HttpRequest.BodyPublishers.ofString(json))
.build()
val response = client.send(request, HttpResponse.BodyHandlers.ofString())
println(response.body())
}
Exemples Remplacement d'image Rust
// Example posting a image URL:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }
// serde_json = "1"
use reqwest::header::HeaderMap;
use std::collections::HashMap;
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let client = reqwest::Client::new();
let mut headers = HeaderMap::new();
headers.insert("api-key", "YOUR_API_KEY".parse()?);
let mut payload = HashMap::new();
payload.insert("text", "YOUR_TEXT_HERE");
payload.insert("mask", "YOUR_IMAGE_URL");
payload.insert("image", "YOUR_IMAGE_URL");
let response = client
.post("https://api.deepai.org/api/image-replace")
.headers(headers)
.json(&payload)
.send()
.await?;
println!("{}", response.text().await?);
Ok(())
}
// Example posting a local image file:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }
use reqwest::multipart;
use std::fs;
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let client = reqwest::Client::new();
let form = multipart::Form::new()
.text("text", "YOUR_TEXT_HERE")
.file("mask", "/path/to/your/file.jpg")?
.file("image", "/path/to/your/file.jpg")?;
let response = client
.post("https://api.deepai.org/api/image-replace")
.header("api-key", "YOUR_API_KEY")
.multipart(form)
.send()
.await?;
println!("{}", response.text().await?);
Ok(())
}
// Example directly sending a text string:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }
// serde_json = "1"
use reqwest::header::HeaderMap;
use std::collections::HashMap;
#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
let client = reqwest::Client::new();
let mut headers = HeaderMap::new();
headers.insert("api-key", "YOUR_API_KEY".parse()?);
let mut payload = HashMap::new();
payload.insert("text", "YOUR_TEXT_HERE");
payload.insert("mask", "YOUR_TEXT_HERE");
payload.insert("image", "YOUR_TEXT_HERE");
let response = client
.post("https://api.deepai.org/api/image-replace")
.headers(headers)
.json(&payload)
.send()
.await?;
println!("{}", response.text().await?);
Ok(())
}
Exemples Remplacement d'image TypeScript
// Example posting a image URL:
interface ApiResponse {
// Define your response type here
[key: string]: unknown;
}
async function callApi(): Promise<ApiResponse> {
const response = await fetch('https://api.deepai.org/api/image-replace', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'api-key': 'YOUR_API_KEY'
},
body: JSON.stringify({
text: 'YOUR_TEXT_HERE',
mask: 'YOUR_IMAGE_URL',
image: 'YOUR_IMAGE_URL',
})
});
const data: ApiResponse = await response.json();
console.log(data);
return data;
}
callApi();
// Example posting a local image file (Node.js with form-data package):
// npm install form-data
import * as fs from 'fs';
import FormData from 'form-data';
interface ApiResponse {
[key: string]: unknown;
}
async function uploadFile(): Promise<ApiResponse> {
const formData = new FormData();
formData.append('text', 'YOUR_TEXT_HERE');
formData.append('mask', fs.createReadStream('/path/to/your/file.jpg'));
formData.append('image', fs.createReadStream('/path/to/your/file.jpg'));
const response = await fetch('https://api.deepai.org/api/image-replace', {
method: 'POST',
headers: {
...formData.getHeaders(),
'api-key': 'YOUR_API_KEY'
},
body: formData as unknown as BodyInit
});
const data: ApiResponse = await response.json();
console.log(data);
return data;
}
uploadFile();
// Example directly sending a text string:
interface ApiResponse {
[key: string]: unknown;
}
async function callApi(): Promise<ApiResponse> {
const response = await fetch('https://api.deepai.org/api/image-replace', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'api-key': 'YOUR_API_KEY'
},
body: JSON.stringify({
text: 'YOUR_TEXT_HERE',
mask: 'YOUR_TEXT_HERE',
image: 'YOUR_TEXT_HERE',
})
});
const data: ApiResponse = await response.json();
console.log(data);
return data;
}
callApi();
Exemples Remplacement d'image Dart
// Example posting a image URL:
// Add to pubspec.yaml: http: ^1.1.0
import 'dart:convert';
import 'package:http/http.dart' as http;
Future<void> main() async {
final response = await http.post(
Uri.parse('https://api.deepai.org/api/image-replace'),
headers: {
'Content-Type': 'application/json',
'api-key': 'YOUR_API_KEY',
},
body: jsonEncode({
'text': 'YOUR_TEXT_HERE',
'mask': 'YOUR_IMAGE_URL',
'image': 'YOUR_IMAGE_URL',
}),
);
print(response.body);
}
// Example posting a local image file:
// Add to pubspec.yaml: http: ^1.1.0
import 'dart:io';
import 'package:http/http.dart' as http;
Future<void> main() async {
var request = http.MultipartRequest(
'POST',
Uri.parse('https://api.deepai.org/api/image-replace'),
);
request.headers['api-key'] = 'YOUR_API_KEY';
request.fields['text'] = 'YOUR_TEXT_HERE';
request.files.add(
await http.MultipartFile.fromPath('mask', '/path/to/your/file.jpg'),
);
request.files.add(
await http.MultipartFile.fromPath('image', '/path/to/your/file.jpg'),
);
var response = await request.send();
var responseBody = await response.stream.bytesToString();
print(responseBody);
}
// Example directly sending a text string:
// Add to pubspec.yaml: http: ^1.1.0
import 'dart:convert';
import 'package:http/http.dart' as http;
Future<void> main() async {
final response = await http.post(
Uri.parse('https://api.deepai.org/api/image-replace'),
headers: {
'Content-Type': 'application/json',
'api-key': 'YOUR_API_KEY',
},
body: jsonEncode({
'text': 'YOUR_TEXT_HERE',
'mask': 'YOUR_TEXT_HERE',
'image': 'YOUR_TEXT_HERE',
}),
);
print(response.body);
}
Exemples Remplacement d'image PowerShell
# Example posting a image URL:
$r = Invoke-WebRequest `
-Uri https://api.deepai.org/api/image-replace `
-Method Post `
-Form @{
text='YOUR_TEXT_HERE'
mask='YOUR_IMAGE_URL'
image='YOUR_IMAGE_URL'
} `
-Headers @{
'api-key'='YOUR_API_KEY'
}
$r.Content
# Example posting a local image file:
$r = Invoke-WebRequest `
-Uri https://api.deepai.org/api/image-replace `
-Method Post `
-Form @{
text='YOUR_TEXT_HERE'
mask=Get-Item -Path '/path/to/your/file.jpg'
image=Get-Item -Path '/path/to/your/file.jpg'
} `
-Headers @{
'api-key'='YOUR_API_KEY'
}
$r.Content
# Example directly sending a text string:
$r = Invoke-WebRequest `
-Uri https://api.deepai.org/api/image-replace `
-Method Post `
-Form @{
text='YOUR_TEXT_HERE'
mask='YOUR_TEXT_HERE'
image='YOUR_TEXT_HERE'
} `
-Headers @{
'api-key'='YOUR_API_KEY'
}
$r.Content
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