curl --request POST \
--url https://api.apimart.ai/v1/videos/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "veo3.1-fast-official",
"prompt": "a golden retriever running on the beach, sunset, cinematic",
"duration": 8,
"aspect_ratio": "16:9"
}'
import requests
url = "https://api.apimart.ai/v1/videos/generations"
payload = {
"model": "veo3.1-fast-official",
"prompt": "a golden retriever running on the beach, sunset, cinematic",
"duration": 8,
"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: "veo3.1-fast-official",
prompt: "a golden retriever running on the beach, sunset, cinematic",
duration: 8,
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": "veo3.1-fast-official",
"prompt": "a golden retriever running on the beach, sunset, cinematic",
"duration": 8,
"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": "veo3.1-fast-official",
"prompt": "a golden retriever running on the beach, sunset, cinematic",
"duration": 8,
"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" => "veo3.1-fast-official",
"prompt" => "a golden retriever running on the beach, sunset, cinematic",
"duration" => 8,
"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: "veo3.1-fast-official",
prompt: "a golden retriever running on the beach, sunset, cinematic",
duration: 8,
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": "veo3.1-fast-official",
"prompt": "a golden retriever running on the beach, sunset, cinematic",
"duration": 8,
"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"": ""veo3.1-fast-official"",
""prompt"": ""a golden retriever running on the beach, sunset, cinematic"",
""duration"": 8,
""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": "Authentication failed, please check your API key",
"type": "authentication_error"
}
}
{
"error": {
"code": 402,
"message": "Insufficient account balance, please recharge and try again",
"type": "payment_required"
}
}
{
"error": {
"code": 429,
"message": "Too many requests, please try again later",
"type": "rate_limit_error"
}
}
{
"error": {
"code": 500,
"message": "Internal server error, please try again later",
"type": "server_error"
}
}
VEO3
Génération vidéo officielle VEO3
- Mode de traitement asynchrone, renvoie un identifiant de tâche pour les requêtes ultérieures
- Prend en charge texte-vers-vidéo et image-vers-vidéo (contrôle de la première image / première & dernière image)
- Prend en charge les résolutions 720P et 1080P
- Prend en charge les durées vidéo de 4/6/8 secondes
- Prend en charge la génération d’une piste audio
- Prend en charge le contrôle de la politique de génération de personnes
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": "veo3.1-fast-official",
"prompt": "a golden retriever running on the beach, sunset, cinematic",
"duration": 8,
"aspect_ratio": "16:9"
}'
import requests
url = "https://api.apimart.ai/v1/videos/generations"
payload = {
"model": "veo3.1-fast-official",
"prompt": "a golden retriever running on the beach, sunset, cinematic",
"duration": 8,
"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: "veo3.1-fast-official",
prompt: "a golden retriever running on the beach, sunset, cinematic",
duration: 8,
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": "veo3.1-fast-official",
"prompt": "a golden retriever running on the beach, sunset, cinematic",
"duration": 8,
"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": "veo3.1-fast-official",
"prompt": "a golden retriever running on the beach, sunset, cinematic",
"duration": 8,
"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" => "veo3.1-fast-official",
"prompt" => "a golden retriever running on the beach, sunset, cinematic",
"duration" => 8,
"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: "veo3.1-fast-official",
prompt: "a golden retriever running on the beach, sunset, cinematic",
duration: 8,
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": "veo3.1-fast-official",
"prompt": "a golden retriever running on the beach, sunset, cinematic",
"duration": 8,
"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"": ""veo3.1-fast-official"",
""prompt"": ""a golden retriever running on the beach, sunset, cinematic"",
""duration"": 8,
""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": "Authentication failed, please check your API key",
"type": "authentication_error"
}
}
{
"error": {
"code": 402,
"message": "Insufficient account balance, please recharge and try again",
"type": "payment_required"
}
}
{
"error": {
"code": 429,
"message": "Too many requests, 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": "veo3.1-fast-official",
"prompt": "a golden retriever running on the beach, sunset, cinematic",
"duration": 8,
"aspect_ratio": "16:9"
}'
import requests
url = "https://api.apimart.ai/v1/videos/generations"
payload = {
"model": "veo3.1-fast-official",
"prompt": "a golden retriever running on the beach, sunset, cinematic",
"duration": 8,
"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: "veo3.1-fast-official",
prompt: "a golden retriever running on the beach, sunset, cinematic",
duration: 8,
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": "veo3.1-fast-official",
"prompt": "a golden retriever running on the beach, sunset, cinematic",
"duration": 8,
"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": "veo3.1-fast-official",
"prompt": "a golden retriever running on the beach, sunset, cinematic",
"duration": 8,
"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" => "veo3.1-fast-official",
"prompt" => "a golden retriever running on the beach, sunset, cinematic",
"duration" => 8,
"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: "veo3.1-fast-official",
prompt: "a golden retriever running on the beach, sunset, cinematic",
duration: 8,
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": "veo3.1-fast-official",
"prompt": "a golden retriever running on the beach, sunset, cinematic",
"duration": 8,
"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"": ""veo3.1-fast-official"",
""prompt"": ""a golden retriever running on the beach, sunset, cinematic"",
""duration"": 8,
""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": "Authentication failed, please check your API key",
"type": "authentication_error"
}
}
{
"error": {
"code": 402,
"message": "Insufficient account balance, please recharge and try again",
"type": "payment_required"
}
}
{
"error": {
"code": 429,
"message": "Too many requests, 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 de l’API nécessitent une authentification par Bearer TokenObtenez votre API Key :Rendez-vous sur la page de gestion des API Keys pour obtenir votre API KeyAjoutez-la dans l’en-tête de la requête :
Authorization: Bearer YOUR_API_KEY
Paramètres de la requête
string
requis
Nom du modèle de génération vidéoModèles disponibles :
veo3.1-fast-official— Veo 3.1 Official Fastveo3.1-quality-official— Veo 3.1 Official High Quality
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 textuel positifDécrivez en détail les scènes, les actions, les styles, etc. pour de meilleurs résultats. Les prompts en anglais sont recommandés.Exemple :
"a golden retriever running on the beach, sunset, cinematic"string
Prompt négatif pour exclure le contenu indésirableExemple :
"blurry, low quality, watermark, text"integer
défaut:"8"
Durée de la vidéo en secondesValeurs recommandées :
4 / 6 / 8Par défaut : 8Remarque : doit être un nombre pur (par ex. 8), n’ajoutez pas de guillemets, sinon une erreur se produirastring
défaut:"16:9"
Rapport d’aspect de la vidéoValeurs disponibles :
16:9— paysage9:16— portrait
16:9string
défaut:"720p"
Résolution de la vidéoValeurs disponibles :
720p— résolution standard1080p— haute définition4K— ultra haute définition
720pstring
URL de l’image de la première image pour la génération image-vers-vidéo
- L’URL de l’image doit être accessible publiquement, sans protection anti-hotlink
- Il est recommandé d’utiliser des URL de stockage d’objets plutôt que des liens de téléchargement temporaires
string
URL de l’image de la dernière image pour la génération image-vers-vidéoUtilisée avec
first_frame_image pour contrôler la première et la dernière imageinteger
Seed aléatoire pour reproduire les résultats de générationPlage de valeurs :
0 — 4294967295integer
défaut:"1"
Nombre d’échantillons à générer (1-4), il est actuellement recommandé d’utiliser
1Par défaut : 1boolean
défaut:"false"
Générer ou non une piste audio
string
défaut:"allow_adult"
Politique de génération de personnesValeurs disponibles :
allow_adult— n’autoriser que la génération de personnes/visages adultesdisallow— ne pas autoriser la génération de personnes ou de visages
allow_adultstring
défaut:"pad"
Stratégie de redimensionnement de l’image (effective pour image-vers-vidéo)Valeurs disponibles :
pad— mode de remplissagecrop— mode de recadrage
padboolean
défaut:"true"
Activer ou non l’amélioration du prompt en amontPar défaut :
true- Ce paramètre ne peut être défini que sur
true. Le définir surfalseprovoquera une erreur de requête - Si vous n’avez pas besoin de ce paramètre, ne l’incluez pas
Texte-vers-vidéo vs image-vers-vidéo
Le système détermine automatiquement le mode selon que des paramètres d’image sont fournis ou non : sans image pour texte-vers-vidéo, avec image pour image-vers-vidéo.| Paramètre | Texte-vers-vidéo | Image-vers-vidéo |
|---|---|---|
prompt | Obligatoire | Obligatoire |
first_frame_image | Non utilisé | Obligatoire (au moins une) |
last_frame_image | Non utilisé | Facultatif (dernière image) |
negative_prompt | Facultatif | Facultatif |
duration | Facultatif | Facultatif |
aspect_ratio | Facultatif | Facultatif |
resolution | Facultatif | Facultatif |
seed | Facultatif | Facultatif |
generate_audio | Facultatif | Facultatif |
person_generation | Facultatif | Facultatif |
resize_mode | Non applicable | Facultatif |
enhance_prompt | Facultatif | Facultatif |
Réponse
integer
Code d’état de la réponse, 200 en cas de succès
array
Scénarios d’utilisation
Scénario 1 : texte-vers-vidéo (basique)
{
"model": "veo3.1-fast-official",
"prompt": "a golden retriever running on the beach, sunset, cinematic"
}
Scénario 2 : texte-vers-vidéo (paramètres complets)
{
"model": "veo3.1-quality-official",
"prompt": "a cinematic close-up of a ragdoll cat slowly walking through a sunlit living room",
"negative_prompt": "blurry, low quality, watermark, text",
"duration": 8,
"aspect_ratio": "16:9",
"resolution": "1080p",
"seed": 12345,
"generate_audio": true,
"person_generation": "disallow",
"enhance_prompt": true
}
Scénario 3 : image-vers-vidéo (une seule première image)
{
"model": "veo3.1-fast-official",
"prompt": "the cat slowly walks forward and looks around",
"first_frame_image": "https://example.com/cat.png",
"duration": 8,
"resolution": "720p"
}
Scénario 4 : image-vers-vidéo (première image + dernière image)
{
"model": "veo3.1-quality-official",
"prompt": "smooth cinematic transition from the first frame to the last frame",
"first_frame_image": "https://example.com/frame-start.png",
"last_frame_image": "https://example.com/frame-end.png",
"duration": 8,
"resolution": "1080p"
}
Scénario 5 : vidéo avec audio
{
"model": "veo3.1-quality-official",
"prompt": "a busy coffee shop with people chatting and barista making latte art",
"duration": 8,
"generate_audio": true,
"aspect_ratio": "16:9"
}
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 de la génération.