# Le champ model peut valoir "veo3.1-fast" ou son alias compatible "veo3.1-fast-ext"
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",
"prompt": "Dolphins leaping in the azure ocean",
"duration": 8,
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png"]
}'
import requests
url = "https://api.apimart.ai/v1/videos/generations"
payload = {
"model": "veo3.1-fast",
"prompt": "Dolphins leaping in the azure ocean",
"duration": 8,
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png"]
}
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",
prompt: "Dolphins leaping in the azure ocean",
duration: 8,
aspect_ratio: "16:9",
image_urls: ["https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png"]
};
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",
"prompt": "Dolphins leaping in the azure ocean",
"duration": 8,
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png"],
}
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",
"prompt": "Dolphins leaping in the azure ocean",
"duration": 8,
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png"]
}
""";
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",
"prompt" => "Dolphins leaping in the azure ocean",
"duration" => 8,
"aspect_ratio" => "16:9",
"image_urls" => ["https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png"]
];
$ch = curl_init($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",
prompt: "Dolphins leaping in the azure ocean",
duration: 8,
aspect_ratio: "16:9",
image_urls: ["https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png"]
}
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",
"prompt": "Dolphins leaping in the azure ocean",
"duration": 8,
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png"]
]
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"",
""prompt"": ""Dolphins leaping in the azure ocean"",
""duration"": 8,
""aspect_ratio"": ""16:9"",
""image_urls"": [""https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png""]
}";
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);
}
}
#include <stdio.h>
#include <curl/curl.h>
int main(void) {
CURL *curl;
CURLcode res;
curl_global_init(CURL_GLOBAL_DEFAULT);
curl = curl_easy_init();
if(curl) {
const char *url = "https://api.apimart.ai/v1/videos/generations";
const char *payload = "{"
"\"model\":\"veo3.1-fast\","
"\"prompt\":\"Dolphins leaping in the azure ocean\","
"\"duration\":8,"
"\"aspect_ratio\":\"16:9\","
"\"image_urls\":[\"https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png\"]"
"}";
struct curl_slist *headers = NULL;
headers = curl_slist_append(headers, "Authorization: Bearer <token>");
headers = curl_slist_append(headers, "Content-Type: application/json");
curl_easy_setopt(curl, CURLOPT_URL, url);
curl_easy_setopt(curl, CURLOPT_POSTFIELDS, payload);
curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);
res = curl_easy_perform(curl);
if(res != CURLE_OK) {
fprintf(stderr, "curl_easy_perform() failed: %s\n",
curl_easy_strerror(res));
}
curl_slist_free_all(headers);
curl_easy_cleanup(curl);
}
curl_global_cleanup();
return 0;
}
#import <Foundation/Foundation.h>
int main(int argc, const char * argv[]) {
@autoreleasepool {
NSURL *url = [NSURL URLWithString:@"https://api.apimart.ai/v1/videos/generations"];
NSDictionary *payload = @{
@"model": @"veo3.1-fast",
@"prompt": @"Dolphins leaping in the azure ocean",
@"duration": @8,
@"aspect_ratio": @"16:9",
@"image_urls": @[@"https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png"]
};
NSError *error;
NSData *jsonData = [NSJSONSerialization dataWithJSONObject:payload
options:0
error:&error];
NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:url];
[request setHTTPMethod:@"POST"];
[request setValue:@"Bearer <token>" forHTTPHeaderField:@"Authorization"];
[request setValue:@"application/json" forHTTPHeaderField:@"Content-Type"];
[request setHTTPBody:jsonData];
NSURLSessionDataTask *task = [[NSURLSession sharedSession]
dataTaskWithRequest:request
completionHandler:^(NSData *data, NSURLResponse *response, NSError *error) {
if (error) {
NSLog(@"Error: %@", error);
return;
}
NSString *result = [[NSString alloc] initWithData:data
encoding:NSUTF8StringEncoding];
NSLog(@"%@", result);
}];
[task resume];
[[NSRunLoop mainRunLoop] run];
}
return 0;
}
(* Requires cohttp and yojson libraries *)
open Lwt
open Cohttp
open Cohttp_lwt_unix
let url = "https://api.apimart.ai/v1/videos/generations"
let payload = {|{
"model": "veo3.1-fast",
"prompt": "Dolphins leaping in the azure ocean",
"duration": 8,
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png"]
}|}
let () =
let headers = Header.init ()
|> fun h -> Header.add h "Authorization" "Bearer <token>"
|> fun h -> Header.add h "Content-Type" "application/json"
in
let body = Cohttp_lwt.Body.of_string payload in
let response = Client.post ~headers ~body (Uri.of_string url) >>= fun (resp, body) ->
body |> Cohttp_lwt.Body.to_string >|= fun body_str ->
print_endline body_str
in
Lwt_main.run response
import 'dart:convert';
import 'package:http/http.dart' as http;
void main() async {
final url = Uri.parse('https://api.apimart.ai/v1/videos/generations');
final payload = {
'model': 'veo3.1-fast',
'prompt': 'Dolphins leaping in the azure ocean',
'duration': 8,
'aspect_ratio': '16:9',
'image_urls': ['https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png']
};
final response = await http.post(
url,
headers: {
'Authorization': 'Bearer <token>',
'Content-Type': 'application/json',
},
body: jsonEncode(payload),
);
print(response.body);
}
library(httr)
library(jsonlite)
url <- "https://api.apimart.ai/v1/videos/generations"
payload <- list(
model = "veo3.1-fast",
prompt = "Dolphins leaping in the azure ocean",
duration = 8,
aspect_ratio = "16:9",
image_urls = c("https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png")
)
response <- POST(
url,
add_headers(
Authorization = "Bearer <token>",
`Content-Type` = "application/json"
),
body = toJSON(payload, auto_unbox = TRUE),
encode = "raw"
)
cat(content(response, "text"))
{
"code": 200,
"data": [
{
"status": "submitted",
"task_id": "task_01K8SGYNNNVBQTXNR4MM964S7K"
}
]
}
{
"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": 403,
"message": "Access forbidden. You don't have permission to access this resource",
"type": "permission_error"
}
}
{
"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"
}
}
{
"error": {
"code": 502,
"message": "Bad gateway. The server is temporarily unavailable",
"type": "bad_gateway"
}
}
VEO3
Génération vidéo VEO3
- Mode de traitement asynchrone, renvoie un identifiant de tâche pour les requêtes ultérieures
- Prend en charge plusieurs modes de génération, dont texte-vers-vidéo et image-vers-vidéo
- Prend en charge la sortie en résolution 4K
- Les liens des vidéos générées sont valides pendant 24 heures, veuillez les enregistrer rapidement
POST
/
v1
/
videos
/
generations
# Le champ model peut valoir "veo3.1-fast" ou son alias compatible "veo3.1-fast-ext"
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",
"prompt": "Dolphins leaping in the azure ocean",
"duration": 8,
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png"]
}'
import requests
url = "https://api.apimart.ai/v1/videos/generations"
payload = {
"model": "veo3.1-fast",
"prompt": "Dolphins leaping in the azure ocean",
"duration": 8,
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png"]
}
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",
prompt: "Dolphins leaping in the azure ocean",
duration: 8,
aspect_ratio: "16:9",
image_urls: ["https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png"]
};
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",
"prompt": "Dolphins leaping in the azure ocean",
"duration": 8,
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png"],
}
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",
"prompt": "Dolphins leaping in the azure ocean",
"duration": 8,
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png"]
}
""";
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",
"prompt" => "Dolphins leaping in the azure ocean",
"duration" => 8,
"aspect_ratio" => "16:9",
"image_urls" => ["https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png"]
];
$ch = curl_init($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",
prompt: "Dolphins leaping in the azure ocean",
duration: 8,
aspect_ratio: "16:9",
image_urls: ["https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png"]
}
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",
"prompt": "Dolphins leaping in the azure ocean",
"duration": 8,
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png"]
]
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"",
""prompt"": ""Dolphins leaping in the azure ocean"",
""duration"": 8,
""aspect_ratio"": ""16:9"",
""image_urls"": [""https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png""]
}";
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);
}
}
#include <stdio.h>
#include <curl/curl.h>
int main(void) {
CURL *curl;
CURLcode res;
curl_global_init(CURL_GLOBAL_DEFAULT);
curl = curl_easy_init();
if(curl) {
const char *url = "https://api.apimart.ai/v1/videos/generations";
const char *payload = "{"
"\"model\":\"veo3.1-fast\","
"\"prompt\":\"Dolphins leaping in the azure ocean\","
"\"duration\":8,"
"\"aspect_ratio\":\"16:9\","
"\"image_urls\":[\"https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png\"]"
"}";
struct curl_slist *headers = NULL;
headers = curl_slist_append(headers, "Authorization: Bearer <token>");
headers = curl_slist_append(headers, "Content-Type: application/json");
curl_easy_setopt(curl, CURLOPT_URL, url);
curl_easy_setopt(curl, CURLOPT_POSTFIELDS, payload);
curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);
res = curl_easy_perform(curl);
if(res != CURLE_OK) {
fprintf(stderr, "curl_easy_perform() failed: %s\n",
curl_easy_strerror(res));
}
curl_slist_free_all(headers);
curl_easy_cleanup(curl);
}
curl_global_cleanup();
return 0;
}
#import <Foundation/Foundation.h>
int main(int argc, const char * argv[]) {
@autoreleasepool {
NSURL *url = [NSURL URLWithString:@"https://api.apimart.ai/v1/videos/generations"];
NSDictionary *payload = @{
@"model": @"veo3.1-fast",
@"prompt": @"Dolphins leaping in the azure ocean",
@"duration": @8,
@"aspect_ratio": @"16:9",
@"image_urls": @[@"https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png"]
};
NSError *error;
NSData *jsonData = [NSJSONSerialization dataWithJSONObject:payload
options:0
error:&error];
NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:url];
[request setHTTPMethod:@"POST"];
[request setValue:@"Bearer <token>" forHTTPHeaderField:@"Authorization"];
[request setValue:@"application/json" forHTTPHeaderField:@"Content-Type"];
[request setHTTPBody:jsonData];
NSURLSessionDataTask *task = [[NSURLSession sharedSession]
dataTaskWithRequest:request
completionHandler:^(NSData *data, NSURLResponse *response, NSError *error) {
if (error) {
NSLog(@"Error: %@", error);
return;
}
NSString *result = [[NSString alloc] initWithData:data
encoding:NSUTF8StringEncoding];
NSLog(@"%@", result);
}];
[task resume];
[[NSRunLoop mainRunLoop] run];
}
return 0;
}
(* Requires cohttp and yojson libraries *)
open Lwt
open Cohttp
open Cohttp_lwt_unix
let url = "https://api.apimart.ai/v1/videos/generations"
let payload = {|{
"model": "veo3.1-fast",
"prompt": "Dolphins leaping in the azure ocean",
"duration": 8,
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png"]
}|}
let () =
let headers = Header.init ()
|> fun h -> Header.add h "Authorization" "Bearer <token>"
|> fun h -> Header.add h "Content-Type" "application/json"
in
let body = Cohttp_lwt.Body.of_string payload in
let response = Client.post ~headers ~body (Uri.of_string url) >>= fun (resp, body) ->
body |> Cohttp_lwt.Body.to_string >|= fun body_str ->
print_endline body_str
in
Lwt_main.run response
import 'dart:convert';
import 'package:http/http.dart' as http;
void main() async {
final url = Uri.parse('https://api.apimart.ai/v1/videos/generations');
final payload = {
'model': 'veo3.1-fast',
'prompt': 'Dolphins leaping in the azure ocean',
'duration': 8,
'aspect_ratio': '16:9',
'image_urls': ['https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png']
};
final response = await http.post(
url,
headers: {
'Authorization': 'Bearer <token>',
'Content-Type': 'application/json',
},
body: jsonEncode(payload),
);
print(response.body);
}
library(httr)
library(jsonlite)
url <- "https://api.apimart.ai/v1/videos/generations"
payload <- list(
model = "veo3.1-fast",
prompt = "Dolphins leaping in the azure ocean",
duration = 8,
aspect_ratio = "16:9",
image_urls = c("https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png")
)
response <- POST(
url,
add_headers(
Authorization = "Bearer <token>",
`Content-Type` = "application/json"
),
body = toJSON(payload, auto_unbox = TRUE),
encode = "raw"
)
cat(content(response, "text"))
{
"code": 200,
"data": [
{
"status": "submitted",
"task_id": "task_01K8SGYNNNVBQTXNR4MM964S7K"
}
]
}
{
"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": 403,
"message": "Access forbidden. You don't have permission to access this resource",
"type": "permission_error"
}
}
{
"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"
}
}
{
"error": {
"code": 502,
"message": "Bad gateway. The server is temporarily unavailable",
"type": "bad_gateway"
}
}
Alias de modèle compatible : cette API prend également en charge les alias
veo3.1-fast-ext (équivalent à veo3.1-fast), veo3.1-quality-ext (équivalent à veo3.1-quality) et veo3.1-lite-ext (équivalent à veo3.1-lite) ; ils sont interchangeables avec leurs noms respectifs et produisent des résultats identiques.# Le champ model peut valoir "veo3.1-fast" ou son alias compatible "veo3.1-fast-ext"
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",
"prompt": "Dolphins leaping in the azure ocean",
"duration": 8,
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png"]
}'
import requests
url = "https://api.apimart.ai/v1/videos/generations"
payload = {
"model": "veo3.1-fast",
"prompt": "Dolphins leaping in the azure ocean",
"duration": 8,
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png"]
}
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",
prompt: "Dolphins leaping in the azure ocean",
duration: 8,
aspect_ratio: "16:9",
image_urls: ["https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png"]
};
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",
"prompt": "Dolphins leaping in the azure ocean",
"duration": 8,
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png"],
}
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",
"prompt": "Dolphins leaping in the azure ocean",
"duration": 8,
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png"]
}
""";
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",
"prompt" => "Dolphins leaping in the azure ocean",
"duration" => 8,
"aspect_ratio" => "16:9",
"image_urls" => ["https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png"]
];
$ch = curl_init($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",
prompt: "Dolphins leaping in the azure ocean",
duration: 8,
aspect_ratio: "16:9",
image_urls: ["https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png"]
}
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",
"prompt": "Dolphins leaping in the azure ocean",
"duration": 8,
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png"]
]
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"",
""prompt"": ""Dolphins leaping in the azure ocean"",
""duration"": 8,
""aspect_ratio"": ""16:9"",
""image_urls"": [""https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png""]
}";
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);
}
}
#include <stdio.h>
#include <curl/curl.h>
int main(void) {
CURL *curl;
CURLcode res;
curl_global_init(CURL_GLOBAL_DEFAULT);
curl = curl_easy_init();
if(curl) {
const char *url = "https://api.apimart.ai/v1/videos/generations";
const char *payload = "{"
"\"model\":\"veo3.1-fast\","
"\"prompt\":\"Dolphins leaping in the azure ocean\","
"\"duration\":8,"
"\"aspect_ratio\":\"16:9\","
"\"image_urls\":[\"https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png\"]"
"}";
struct curl_slist *headers = NULL;
headers = curl_slist_append(headers, "Authorization: Bearer <token>");
headers = curl_slist_append(headers, "Content-Type: application/json");
curl_easy_setopt(curl, CURLOPT_URL, url);
curl_easy_setopt(curl, CURLOPT_POSTFIELDS, payload);
curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);
res = curl_easy_perform(curl);
if(res != CURLE_OK) {
fprintf(stderr, "curl_easy_perform() failed: %s\n",
curl_easy_strerror(res));
}
curl_slist_free_all(headers);
curl_easy_cleanup(curl);
}
curl_global_cleanup();
return 0;
}
#import <Foundation/Foundation.h>
int main(int argc, const char * argv[]) {
@autoreleasepool {
NSURL *url = [NSURL URLWithString:@"https://api.apimart.ai/v1/videos/generations"];
NSDictionary *payload = @{
@"model": @"veo3.1-fast",
@"prompt": @"Dolphins leaping in the azure ocean",
@"duration": @8,
@"aspect_ratio": @"16:9",
@"image_urls": @[@"https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png"]
};
NSError *error;
NSData *jsonData = [NSJSONSerialization dataWithJSONObject:payload
options:0
error:&error];
NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:url];
[request setHTTPMethod:@"POST"];
[request setValue:@"Bearer <token>" forHTTPHeaderField:@"Authorization"];
[request setValue:@"application/json" forHTTPHeaderField:@"Content-Type"];
[request setHTTPBody:jsonData];
NSURLSessionDataTask *task = [[NSURLSession sharedSession]
dataTaskWithRequest:request
completionHandler:^(NSData *data, NSURLResponse *response, NSError *error) {
if (error) {
NSLog(@"Error: %@", error);
return;
}
NSString *result = [[NSString alloc] initWithData:data
encoding:NSUTF8StringEncoding];
NSLog(@"%@", result);
}];
[task resume];
[[NSRunLoop mainRunLoop] run];
}
return 0;
}
(* Requires cohttp and yojson libraries *)
open Lwt
open Cohttp
open Cohttp_lwt_unix
let url = "https://api.apimart.ai/v1/videos/generations"
let payload = {|{
"model": "veo3.1-fast",
"prompt": "Dolphins leaping in the azure ocean",
"duration": 8,
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png"]
}|}
let () =
let headers = Header.init ()
|> fun h -> Header.add h "Authorization" "Bearer <token>"
|> fun h -> Header.add h "Content-Type" "application/json"
in
let body = Cohttp_lwt.Body.of_string payload in
let response = Client.post ~headers ~body (Uri.of_string url) >>= fun (resp, body) ->
body |> Cohttp_lwt.Body.to_string >|= fun body_str ->
print_endline body_str
in
Lwt_main.run response
import 'dart:convert';
import 'package:http/http.dart' as http;
void main() async {
final url = Uri.parse('https://api.apimart.ai/v1/videos/generations');
final payload = {
'model': 'veo3.1-fast',
'prompt': 'Dolphins leaping in the azure ocean',
'duration': 8,
'aspect_ratio': '16:9',
'image_urls': ['https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png']
};
final response = await http.post(
url,
headers: {
'Authorization': 'Bearer <token>',
'Content-Type': 'application/json',
},
body: jsonEncode(payload),
);
print(response.body);
}
library(httr)
library(jsonlite)
url <- "https://api.apimart.ai/v1/videos/generations"
payload <- list(
model = "veo3.1-fast",
prompt = "Dolphins leaping in the azure ocean",
duration = 8,
aspect_ratio = "16:9",
image_urls = c("https://cdn.apimart.ai/doc/9998238783208208-9972597b-255d-4e7e-9649-e6ee38a837aa-image_task_01K88B53MTK41PP5KGDTG2PA5P_0.png")
)
response <- POST(
url,
add_headers(
Authorization = "Bearer <token>",
`Content-Type` = "application/json"
),
body = toJSON(payload, auto_unbox = TRUE),
encode = "raw"
)
cat(content(response, "text"))
{
"code": 200,
"data": [
{
"status": "submitted",
"task_id": "task_01K8SGYNNNVBQTXNR4MM964S7K"
}
]
}
{
"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": 403,
"message": "Access forbidden. You don't have permission to access this resource",
"type": "permission_error"
}
}
{
"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"
}
}
{
"error": {
"code": 502,
"message": "Bad gateway. The server is temporarily unavailable",
"type": "bad_gateway"
}
}
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
défaut:"veo3.1-fast"
requis
Nom du modèle de génération vidéoModèles disponibles :
veo3.1-fast— modèle de génération rapide, adapté aux prévisualisations et itérations rapides (alias compatibleveo3.1-fast-ext)veo3.1-quality— modèle de génération haute qualité, adapté à la production finale (alias compatibleveo3.1-quality-ext)veo3.1-lite— modèle de génération léger, adapté à la génération par lots à faible coût (alias compatibleveo3.1-lite-ext)
"veo3.1-fast"Pour assurer la compatibilité avec les anciens appels, les alias
veo3.1-fast-ext (correspondant à veo3.1-fast), veo3.1-quality-ext (correspondant à veo3.1-quality) et veo3.1-lite-ext (correspondant à veo3.1-lite) restent utilisables normalement.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
Description textuelle pour la génération vidéo
integer
Durée de la vidéo en secondesValeur fixe :
8 (VEO3 ne prend en charge qu’une durée de 8 secondes)string
Rapport d’aspect de la vidéoFormats pris en charge :
16:9(paysage)9:16(portrait)
string
Type de génération vidéoTypes pris en charge :
frame— image-vers-vidéo (mode FL)reference— vidéo à partir d’une image de référence
veo3.1-quality ne prend pas en charge le mode referenceLe modèle
veo3.1-lite ne prend pas en charge ce paramètre, ne le transmettez pasarray<url>
Tableau d’URL d’images de référence pour la génération image-vers-vidéoPrend en charge les URL d’images accessibles publiquement (http:// ou https://)Exemple :
["https://example.com/image.jpg"]Limitations :- Maximum 3 images
- Pour le mode image-vers-vidéo : la première image est l’image de début, la seconde est l’image de fin
- Taille maximale du fichier : 10 Mo
- Formats pris en charge : .jpeg, .jpg, .png, .webp
Le modèle
veo3.1-lite ne prend pas en charge ce paramètre, ne le transmettez passtring
Résolution de la vidéoValeurs prises en charge :
720p(par défaut)1080p4k
boolean
Activer le format de sortie GIF. Par défaut : falseRemarque : GIF et résolution 1080p/4k ne peuvent pas être utilisés simultanément
boolean
défaut:"false"
Utiliser ou non le canal officiel comme solution de repli
false: ne pas utiliser (par défaut)true: utiliser le canal officiel
Le modèle
veo3.1-lite ne prend pas en charge ce paramètre, ne le transmettez pasRéponse
integer
Code d’état de la réponse
⌘I