curl --request POST \
--url https://api.apimart.ai/v1/videos/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "kling-v3",
"prompt": "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9"
}'
import requests
url = "https://api.apimart.ai/v1/videos/generations"
payload = {
"model": "kling-v3",
"prompt": "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9"
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.json())
const url = "https://api.apimart.ai/v1/videos/generations";
const payload = {
model: "kling-v3",
prompt: "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
mode: "std",
duration: 5,
aspect_ratio: "16:9"
};
const headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
};
fetch(url, {
method: "POST",
headers: headers,
body: JSON.stringify(payload)
})
.then(response => response.json())
.then(data => console.log(data))
.catch(error => console.error('Error:', error));
package main
import (
"bytes"
"encoding/json"
"fmt"
"io/ioutil"
"net/http"
)
func main() {
url := "https://api.apimart.ai/v1/videos/generations"
payload := map[string]interface{}{
"model": "kling-v3",
"prompt": "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9",
}
jsonData, _ := json.Marshal(payload)
req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
req.Header.Set("Authorization", "Bearer <token>")
req.Header.Set("Content-Type", "application/json")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := ioutil.ReadAll(resp.Body)
fmt.Println(string(body))
}
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 {
String url = "https://api.apimart.ai/v1/videos/generations";
String payload = """
{
"model": "kling-v3",
"prompt": "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9"
}
""";
HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create(url))
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.POST(HttpRequest.BodyPublishers.ofString(payload))
.build();
HttpResponse<String> response = client.send(request,
HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());
}
}
<?php
$url = "https://api.apimart.ai/v1/videos/generations";
$payload = [
"model" => "kling-v3",
"prompt" => "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
"mode" => "std",
"duration" => 5,
"aspect_ratio" => "16:9"
];
$ch = curl_init($url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($payload));
curl_setopt($ch, CURLOPT_HTTPHEADER, [
"Authorization: Bearer <token>",
"Content-Type: application/json"
]);
$response = curl_exec($ch);
curl_close($ch);
echo $response;
?>
require 'net/http'
require 'json'
require 'uri'
url = URI("https://api.apimart.ai/v1/videos/generations")
payload = {
model: "kling-v3",
prompt: "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
mode: "std",
duration: 5,
aspect_ratio: "16:9"
}
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = "Bearer <token>"
request["Content-Type"] = "application/json"
request.body = payload.to_json
response = http.request(request)
puts response.body
import Foundation
let url = URL(string: "https://api.apimart.ai/v1/videos/generations")!
let payload: [String: Any] = [
"model": "kling-v3",
"prompt": "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9"
]
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("Bearer <token>", forHTTPHeaderField: "Authorization")
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.httpBody = try? JSONSerialization.data(withJSONObject: payload)
let task = URLSession.shared.dataTask(with: request) { data, response, error in
if let error = error {
print("Error: \(error)")
return
}
if let data = data, let responseString = String(data: data, encoding: .utf8) {
print(responseString)
}
}
task.resume()
using System;
using System.Net.Http;
using System.Text;
using System.Threading.Tasks;
class Program
{
static async Task Main(string[] args)
{
var url = "https://api.apimart.ai/v1/videos/generations";
var payload = @"{
""model"": ""kling-v3"",
""prompt"": ""A golden cat running on a sunlit meadow, slow motion, cinematic quality"",
""mode"": ""std"",
""duration"": 5,
""aspect_ratio"": ""16:9""
}";
using var client = new HttpClient();
client.DefaultRequestHeaders.Add("Authorization", "Bearer <token>");
var content = new StringContent(payload, Encoding.UTF8, "application/json");
var response = await client.PostAsync(url, content);
var result = await response.Content.ReadAsStringAsync();
Console.WriteLine(result);
}
}
{
"code": 200,
"data": [
{
"status": "submitted",
"task_id": "task_xxxxxxxxxx"
}
]
}
{
"error": {
"code": 400,
"message": "Invalid request parameters",
"type": "invalid_request_error"
}
}
{
"error": {
"code": 401,
"message": "Invalid authentication credentials",
"type": "authentication_error"
}
}
{
"error": {
"code": 402,
"message": "Insufficient balance. Please top up your account",
"type": "payment_required"
}
}
{
"error": {
"code": 429,
"message": "Rate limit exceeded. Please try again later",
"type": "rate_limit_error"
}
}
{
"error": {
"code": 500,
"message": "Internal server error. Please try again later",
"type": "server_error"
}
}
Kling v3
Génération vidéo Kling v3
- Mode de traitement asynchrone, renvoie un identifiant de tâche pour les requêtes ultérieures
- Prend en charge le text-to-video et l’image-to-video (contrôle de la première image / des première et dernière images)
- Prend en charge le mode standard (720P), le mode professionnel (1080P) et le mode 4K
- Prend en charge des durées de vidéo de 3 à 15 secondes
- Prend en charge la génération de vidéos avec audio
POST
/
v1
/
videos
/
generations
curl --request POST \
--url https://api.apimart.ai/v1/videos/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "kling-v3",
"prompt": "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9"
}'
import requests
url = "https://api.apimart.ai/v1/videos/generations"
payload = {
"model": "kling-v3",
"prompt": "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9"
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.json())
const url = "https://api.apimart.ai/v1/videos/generations";
const payload = {
model: "kling-v3",
prompt: "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
mode: "std",
duration: 5,
aspect_ratio: "16:9"
};
const headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
};
fetch(url, {
method: "POST",
headers: headers,
body: JSON.stringify(payload)
})
.then(response => response.json())
.then(data => console.log(data))
.catch(error => console.error('Error:', error));
package main
import (
"bytes"
"encoding/json"
"fmt"
"io/ioutil"
"net/http"
)
func main() {
url := "https://api.apimart.ai/v1/videos/generations"
payload := map[string]interface{}{
"model": "kling-v3",
"prompt": "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9",
}
jsonData, _ := json.Marshal(payload)
req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
req.Header.Set("Authorization", "Bearer <token>")
req.Header.Set("Content-Type", "application/json")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := ioutil.ReadAll(resp.Body)
fmt.Println(string(body))
}
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 {
String url = "https://api.apimart.ai/v1/videos/generations";
String payload = """
{
"model": "kling-v3",
"prompt": "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9"
}
""";
HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create(url))
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.POST(HttpRequest.BodyPublishers.ofString(payload))
.build();
HttpResponse<String> response = client.send(request,
HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());
}
}
<?php
$url = "https://api.apimart.ai/v1/videos/generations";
$payload = [
"model" => "kling-v3",
"prompt" => "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
"mode" => "std",
"duration" => 5,
"aspect_ratio" => "16:9"
];
$ch = curl_init($url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($payload));
curl_setopt($ch, CURLOPT_HTTPHEADER, [
"Authorization: Bearer <token>",
"Content-Type: application/json"
]);
$response = curl_exec($ch);
curl_close($ch);
echo $response;
?>
require 'net/http'
require 'json'
require 'uri'
url = URI("https://api.apimart.ai/v1/videos/generations")
payload = {
model: "kling-v3",
prompt: "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
mode: "std",
duration: 5,
aspect_ratio: "16:9"
}
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = "Bearer <token>"
request["Content-Type"] = "application/json"
request.body = payload.to_json
response = http.request(request)
puts response.body
import Foundation
let url = URL(string: "https://api.apimart.ai/v1/videos/generations")!
let payload: [String: Any] = [
"model": "kling-v3",
"prompt": "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9"
]
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("Bearer <token>", forHTTPHeaderField: "Authorization")
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.httpBody = try? JSONSerialization.data(withJSONObject: payload)
let task = URLSession.shared.dataTask(with: request) { data, response, error in
if let error = error {
print("Error: \(error)")
return
}
if let data = data, let responseString = String(data: data, encoding: .utf8) {
print(responseString)
}
}
task.resume()
using System;
using System.Net.Http;
using System.Text;
using System.Threading.Tasks;
class Program
{
static async Task Main(string[] args)
{
var url = "https://api.apimart.ai/v1/videos/generations";
var payload = @"{
""model"": ""kling-v3"",
""prompt"": ""A golden cat running on a sunlit meadow, slow motion, cinematic quality"",
""mode"": ""std"",
""duration"": 5,
""aspect_ratio"": ""16:9""
}";
using var client = new HttpClient();
client.DefaultRequestHeaders.Add("Authorization", "Bearer <token>");
var content = new StringContent(payload, Encoding.UTF8, "application/json");
var response = await client.PostAsync(url, content);
var result = await response.Content.ReadAsStringAsync();
Console.WriteLine(result);
}
}
{
"code": 200,
"data": [
{
"status": "submitted",
"task_id": "task_xxxxxxxxxx"
}
]
}
{
"error": {
"code": 400,
"message": "Invalid request parameters",
"type": "invalid_request_error"
}
}
{
"error": {
"code": 401,
"message": "Invalid authentication credentials",
"type": "authentication_error"
}
}
{
"error": {
"code": 402,
"message": "Insufficient balance. Please top up your account",
"type": "payment_required"
}
}
{
"error": {
"code": 429,
"message": "Rate limit exceeded. Please try again later",
"type": "rate_limit_error"
}
}
{
"error": {
"code": 500,
"message": "Internal server error. Please try again later",
"type": "server_error"
}
}
curl --request POST \
--url https://api.apimart.ai/v1/videos/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "kling-v3",
"prompt": "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9"
}'
import requests
url = "https://api.apimart.ai/v1/videos/generations"
payload = {
"model": "kling-v3",
"prompt": "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9"
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.json())
const url = "https://api.apimart.ai/v1/videos/generations";
const payload = {
model: "kling-v3",
prompt: "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
mode: "std",
duration: 5,
aspect_ratio: "16:9"
};
const headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
};
fetch(url, {
method: "POST",
headers: headers,
body: JSON.stringify(payload)
})
.then(response => response.json())
.then(data => console.log(data))
.catch(error => console.error('Error:', error));
package main
import (
"bytes"
"encoding/json"
"fmt"
"io/ioutil"
"net/http"
)
func main() {
url := "https://api.apimart.ai/v1/videos/generations"
payload := map[string]interface{}{
"model": "kling-v3",
"prompt": "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9",
}
jsonData, _ := json.Marshal(payload)
req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
req.Header.Set("Authorization", "Bearer <token>")
req.Header.Set("Content-Type", "application/json")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := ioutil.ReadAll(resp.Body)
fmt.Println(string(body))
}
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 {
String url = "https://api.apimart.ai/v1/videos/generations";
String payload = """
{
"model": "kling-v3",
"prompt": "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9"
}
""";
HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create(url))
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.POST(HttpRequest.BodyPublishers.ofString(payload))
.build();
HttpResponse<String> response = client.send(request,
HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());
}
}
<?php
$url = "https://api.apimart.ai/v1/videos/generations";
$payload = [
"model" => "kling-v3",
"prompt" => "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
"mode" => "std",
"duration" => 5,
"aspect_ratio" => "16:9"
];
$ch = curl_init($url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($payload));
curl_setopt($ch, CURLOPT_HTTPHEADER, [
"Authorization: Bearer <token>",
"Content-Type: application/json"
]);
$response = curl_exec($ch);
curl_close($ch);
echo $response;
?>
require 'net/http'
require 'json'
require 'uri'
url = URI("https://api.apimart.ai/v1/videos/generations")
payload = {
model: "kling-v3",
prompt: "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
mode: "std",
duration: 5,
aspect_ratio: "16:9"
}
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = "Bearer <token>"
request["Content-Type"] = "application/json"
request.body = payload.to_json
response = http.request(request)
puts response.body
import Foundation
let url = URL(string: "https://api.apimart.ai/v1/videos/generations")!
let payload: [String: Any] = [
"model": "kling-v3",
"prompt": "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9"
]
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("Bearer <token>", forHTTPHeaderField: "Authorization")
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.httpBody = try? JSONSerialization.data(withJSONObject: payload)
let task = URLSession.shared.dataTask(with: request) { data, response, error in
if let error = error {
print("Error: \(error)")
return
}
if let data = data, let responseString = String(data: data, encoding: .utf8) {
print(responseString)
}
}
task.resume()
using System;
using System.Net.Http;
using System.Text;
using System.Threading.Tasks;
class Program
{
static async Task Main(string[] args)
{
var url = "https://api.apimart.ai/v1/videos/generations";
var payload = @"{
""model"": ""kling-v3"",
""prompt"": ""A golden cat running on a sunlit meadow, slow motion, cinematic quality"",
""mode"": ""std"",
""duration"": 5,
""aspect_ratio"": ""16:9""
}";
using var client = new HttpClient();
client.DefaultRequestHeaders.Add("Authorization", "Bearer <token>");
var content = new StringContent(payload, Encoding.UTF8, "application/json");
var response = await client.PostAsync(url, content);
var result = await response.Content.ReadAsStringAsync();
Console.WriteLine(result);
}
}
{
"code": 200,
"data": [
{
"status": "submitted",
"task_id": "task_xxxxxxxxxx"
}
]
}
{
"error": {
"code": 400,
"message": "Invalid request parameters",
"type": "invalid_request_error"
}
}
{
"error": {
"code": 401,
"message": "Invalid authentication credentials",
"type": "authentication_error"
}
}
{
"error": {
"code": 402,
"message": "Insufficient balance. Please top up your account",
"type": "payment_required"
}
}
{
"error": {
"code": 429,
"message": "Rate limit exceeded. Please try again later",
"type": "rate_limit_error"
}
}
{
"error": {
"code": 500,
"message": "Internal server error. Please try again later",
"type": "server_error"
}
}
Autorisation
string
requis
Tous les points de terminaison API nécessitent une authentification par Bearer TokenObtenir votre clé API :Rendez-vous sur la page de gestion des clés API pour obtenir votre clé APIAjoutez-la à l’en-tête de la requête :
Authorization: Bearer YOUR_API_KEY
Paramètres de la requête
string
requis
Nom du modèle de génération vidéoModèles pris en charge :
kling-v3— Kling v3 (recommandé)
boolean
défaut:"false"
Indique s’il faut modérer le contenu avant d’envoyer la tâche vidéo.
true: vérifier les prompts et les images d’entrée avecomni-moderation-latestfalseou omis : ne pas envoyer de requête de modération, sans coût ni latence de modération supplémentaires (par défaut)
string
requis
Prompt textuelDécrivez en détail les scènes, actions et styles pour obtenir de meilleurs résultats. L’utilisation de prompts en anglais est recommandée.Exemple :
"a golden retriever running on the beach, sunset, cinematic"string
Prompt négatif pour exclure les contenus indésirablesExemple :
"blurry, low quality, distorted"string
défaut:"std"
Mode de générationOptions :
std— mode standard (720P)pro— mode professionnel (1080P)4k— mode 4K
stdinteger
défaut:"5"
Par défaut :
5
Durée de la vidéo (en secondes)Plage : 3 à 15 (minimum 3 secondes, maximum 15 secondes)⚠️ Note : doit être un nombre simple (par ex. 6), sans guillemets, sinon une erreur se produirastring
défaut:"16:9"
Format d’image de la vidéoOptions :
16:9— paysage9:16— portrait1:1— carré
16:9array<url>
Tableau d’URL d’images pour la génération image-to-video
- Fournir 1 image : utilisée comme première image
- Fournir 2 images : automatiquement assignées comme première image + dernière image
["https://example.com/first.jpg"]- 2 images maximum prises en charge
- Les URL d’images doivent être publiquement accessibles, sans protection anti-hotlink
- En mode image-to-video,
aspect_ratiopeut être remplacé par le rapport réel de l’image
boolean
Ajouter ou non un filigrane
boolean
défaut:"false"
Générer ou non la vidéo avec audio
boolean
défaut:"false"
Activer ou non le mode multi-plans.
truefalse
string
Méthode de découpage des plans :
customize / intelligence.Obligatoire lorsque multi_shot=true.array<object>
Informations par plan, par exemple prompt et durée.Définissez l’ordre, le prompt et la durée des plans via Obligatoire lorsque
index, prompt et duration.- De 1 à 6 plans pris en charge
- Longueur maximale du contenu par plan : 512
- Chaque durée de plan doit être >= 1 et ne peut pas dépasser la durée totale de la tâche
- La somme des durées de tous les plans doit être égale à la
durationde premier niveau
"multi_prompt": [
{ "index": 1, "prompt": "string", "duration": 5 },
{ "index": 2, "prompt": "string", "duration": 5 }
]
multi_shot=true et shot_type=customize.array<object>
Liste des sujets de référence, jusqu’à 3 sujets.Notes :
- Créés à la volée via
name,description,element_input_urls
[
{
"name": "element_dog",
"description": "a golden retriever, fluffy fur, friendly expression",
"element_input_urls": [
"https://example.com/image1.png",
"https://example.com/image2.png"
]
},
{
"name": "element_cat",
"description": "an orange tabby cat, round face, bright eyes",
"element_input_urls": [
"https://example.com/image1.png",
"https://example.com/image2.png"
]
}
]
- Pour la création à la volée,
name,descriptionetelement_input_urlssont obligatoires element_input_urls: 2 à 4 images par sujet (la première comme image frontale, les autres comme références)- Référencez les éléments dans
promptavec@name, par ex."@element_dog chasing @element_cat on grass"
Contraintes des paramètres
mode=4kest pris en charge pourkling-v3image_urlsprend en charge jusqu’à 2 images (1 première image, 2 premières + dernière images)- L’entrée de la dernière image seule est invalide (la première image doit être incluse)
- Lorsque
multi_shot=true, lepromptde premier niveau peut être omis multi_promptprend en charge jusqu’à 6 plans, etindexdoit commencer à 1 et être continu
Matrice de prise en charge des fonctionnalités
| Type | Fonctionnalité | std 5s | std 10s | std 15s | pro 5s | pro 10s |
|---|---|---|---|---|---|---|
| Text-to-Video | Génération | ✅ | ✅ | ✅ | ✅ | ✅ |
| Image-to-Video | Génération | ✅ | ✅ | ✅ | ✅ | ✅ |
| Image-to-Video | Première image | ✅ | ✅ | ✅ | ✅ | ✅ |
| Image-to-Video | Dernière image | ✅ | ✅ | ✅ | ✅ | ✅ |
Texte vers vidéo (Text-to-Video) vs Image vers vidéo (Image-to-Video)
Le système détermine automatiquement le mode selon queimage_urls est fourni ou non : aucune image signifie text-to-video, avec des images signifie image-to-video.
| Paramètre | Text-to-Video | Image-to-Video |
|---|---|---|
prompt | ✅ Obligatoire | ✅ Obligatoire |
image_urls | ❌ Non utilisé | ✅ Obligatoire (1 à 2 images) |
negative_prompt | ✅ Optionnel | ✅ Optionnel |
mode | ✅ Optionnel | ✅ Optionnel |
duration | ✅ Optionnel (3 à 15) | ✅ Optionnel (3 à 15) |
aspect_ratio | ✅ Optionnel | ⚠️ Peut être remplacé par le rapport de l’image |
watermark | ✅ Optionnel | ✅ Optionnel |
audio | ✅ Optionnel | ✅ Optionnel |
Réponse
integer
Code de statut de la réponse, 200 en cas de succès
array
Cas d’usage
Cas 1 : Texte vers vidéo (mode standard)
{
"model": "kling-v3",
"prompt": "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9"
}
Cas 2 : Texte vers vidéo (mode Pro + prompt négatif)
{
"model": "kling-v3",
"prompt": "Tokyo Shibuya crossing at night, neon lights reflected on wet ground, people walking with umbrellas",
"negative_prompt": "blurry, low quality, distorted",
"mode": "pro",
"duration": 10,
"aspect_ratio": "16:9"
}
Cas 3 : Texte vers vidéo (15 secondes)
{
"model": "kling-v3",
"prompt": "a time-lapse of a flower blooming in a garden",
"duration": 15,
"aspect_ratio": "16:9"
}
Cas 4 : Image vers vidéo (première image)
{
"model": "kling-v3",
"prompt": "the cat slowly walks forward and looks around",
"image_urls": ["https://example.com/cat.jpg"],
"mode": "std",
"duration": 5
}
Cas 5 : Image vers vidéo (contrôle première + dernière image)
{
"model": "kling-v3",
"prompt": "smooth cinematic transition",
"image_urls": [
"https://example.com/frame-start.jpg",
"https://example.com/frame-end.jpg"
],
"mode": "std",
"duration": 5
}
Cas 6 : Générer une vidéo avec audio
{
"model": "kling-v3",
"prompt": "A rock singer singing on this stage, concert scene, flashing lights",
"audio": true,
"mode": "std",
"duration": 5
}
Cas 7 : Storyboard multi-plans (customize, 15 secondes, portrait avec audio)
{
"model": "kling-v3",
"multi_prompt": [
{
"index": 1,
"prompt": "Two friends talking under a streetlight at night. Warm glow, casual poses, no dialogue.",
"duration": 2
},
{
"index": 2,
"prompt": "A runner sprinting through a forest, leaves flying. Low-angle shot, focus on movement.",
"duration": 3
},
{
"index": 3,
"prompt": "A woman hugging a cat, smiling. Soft sunlight, cozy home setting, emphasize warmth.",
"duration": 3
},
{
"index": 4,
"prompt": "A door creaking open, shadowy hallway. Dark tones, minimal details, eerie mood.",
"duration": 3
},
{
"index": 5,
"prompt": "A man slipping on a banana peel, shocked expression. Exaggerated pose, bright colors.",
"duration": 3
},
{
"index": 6,
"prompt": "A sunset over mountains, small figure walking away. Wide angle, peaceful atmosphere.",
"duration": 1
}
],
"multi_shot": true,
"shot_type": "customize",
"duration": 15,
"mode": "pro",
"audio": true,
"aspect_ratio": "9:16"
}
Interroger les résultats de la tâcheLa génération vidéo est une tâche asynchrone qui renvoie un
task_id lors de la soumission. Utilisez le point de terminaison Obtenir le statut de la tâche pour interroger la progression et les résultats.