Passer au contenu principal
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

Authorization
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

model
string
requis
Nom du modèle de génération vidéoModèles disponibles :
  • veo3.1-fast-official — Veo 3.1 Official Fast
  • veo3.1-quality-official — Veo 3.1 Official High Quality
prompt
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"
negative_prompt
string
Prompt négatif pour exclure le contenu indésirableExemple : "blurry, low quality, watermark, text"
duration
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 produira
aspect_ratio
string
défaut:"16:9"
Rapport d’aspect de la vidéoValeurs disponibles :
  • 16:9 — paysage
  • 9:16 — portrait
Par défaut : 16:9
resolution
string
défaut:"720p"
Résolution de la vidéoValeurs disponibles :
  • 720p — résolution standard
  • 1080p — haute définition
  • 4K — ultra haute définition
Par défaut : 720p
first_frame_image
string
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
last_frame_image
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 image
seed
integer
Seed aléatoire pour reproduire les résultats de générationPlage de valeurs : 04294967295
sample_count
integer
défaut:"1"
Nombre d’échantillons à générer (1-4), il est actuellement recommandé d’utiliser 1Par défaut : 1
generate_audio
boolean
défaut:"false"
Générer ou non une piste audio
person_generation
string
défaut:"allow_adult"
Politique de génération de personnesValeurs disponibles :
  • allow_adult — n’autoriser que la génération de personnes/visages adultes
  • disallow — ne pas autoriser la génération de personnes ou de visages
Par défaut : allow_adult
resize_mode
string
défaut:"pad"
Stratégie de redimensionnement de l’image (effective pour image-vers-vidéo)Valeurs disponibles :
  • pad — mode de remplissage
  • crop — mode de recadrage
Par défaut : pad
enhance_prompt
boolean
défaut:"true"
Activer ou non l’amélioration du prompt en amontPar défaut : true
  • Ce paramètre ne peut être défini que sur true. Le définir sur false provoquera 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.
ParamètreTexte-vers-vidéoImage-vers-vidéo
promptObligatoireObligatoire
first_frame_imageNon utiliséObligatoire (au moins une)
last_frame_imageNon utiliséFacultatif (dernière image)
negative_promptFacultatifFacultatif
durationFacultatifFacultatif
aspect_ratioFacultatifFacultatif
resolutionFacultatifFacultatif
seedFacultatifFacultatif
generate_audioFacultatifFacultatif
person_generationFacultatifFacultatif
resize_modeNon applicableFacultatif
enhance_promptFacultatifFacultatif

Réponse

code
integer
Code d’état de la réponse, 200 en cas de succès
data
array
Tableau de données de la réponse

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.