curl --request POST \
--url https://api.apimart.ai/v1/videos/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "happyhorse-1.0",
"prompt": "A little girl walking down the road, cinematic feel",
"resolution": "1080P",
"size": "16:9",
"duration": 5,
"seed": 42
}'
import requests
url = "https://api.apimart.ai/v1/videos/generations"
payload = {
"model": "happyhorse-1.0",
"prompt": "A little girl walking down the road, cinematic feel",
"resolution": "1080P",
"size": "16:9",
"duration": 5,
"seed": 42
}
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: "happyhorse-1.0",
prompt: "A little girl walking down the road, cinematic feel",
resolution: "1080P",
size: "16:9",
duration: 5,
seed: 42
};
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": "happyhorse-1.0",
"prompt": "A little girl walking down the road, cinematic feel",
"resolution": "1080P",
"size": "16:9",
"duration": 5,
"seed": 42,
}
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": "happyhorse-1.0",
"prompt": "A little girl walking down the road, cinematic feel",
"resolution": "1080P",
"size": "16:9",
"duration": 5,
"seed": 42
}
""";
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" => "happyhorse-1.0",
"prompt" => "A little girl walking down the road, cinematic feel",
"resolution" => "1080P",
"size" => "16:9",
"duration" => 5,
"seed" => 42
];
$ch = curl_init($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: "happyhorse-1.0",
prompt: "A little girl walking down the road, cinematic feel",
resolution: "1080P",
size: "16:9",
duration: 5,
seed: 42
}
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": "happyhorse-1.0",
"prompt": "A little girl walking down the road, cinematic feel",
"resolution": "1080P",
"size": "16:9",
"duration": 5,
"seed": 42
]
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"": ""happyhorse-1.0"",
""prompt"": ""A little girl walking down the road, cinematic feel"",
""resolution"": ""1080P"",
""size"": ""16:9"",
""duration"": 5,
""seed"": 42
}";
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_01J9HA7JPQ9A0Z6JZ3V8M9W6PZ"
}
]
}
{
"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"
}
}
HappyHorse
Pembuatan Video HappyHorse 1.0
- Model pembuatan video Alibaba Cloud Bailian HappyHorse 1.0 (entry terpadu, routing otomatis satu model)
- Melakukan routing otomatis berdasarkan parameter: T2V (hanya prompt) / I2V (first_frame_image) / R2V (image_urls) / EDIT (video_url)
- Mendukung resolusi 720P/1080P dan durasi bilangan bulat apa pun dari 3 hingga 15 detik
- Ditagih hanya berdasarkan resolusi × durasi (detik), terlepas dari kemampuan
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": "happyhorse-1.0",
"prompt": "A little girl walking down the road, cinematic feel",
"resolution": "1080P",
"size": "16:9",
"duration": 5,
"seed": 42
}'
import requests
url = "https://api.apimart.ai/v1/videos/generations"
payload = {
"model": "happyhorse-1.0",
"prompt": "A little girl walking down the road, cinematic feel",
"resolution": "1080P",
"size": "16:9",
"duration": 5,
"seed": 42
}
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: "happyhorse-1.0",
prompt: "A little girl walking down the road, cinematic feel",
resolution: "1080P",
size: "16:9",
duration: 5,
seed: 42
};
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": "happyhorse-1.0",
"prompt": "A little girl walking down the road, cinematic feel",
"resolution": "1080P",
"size": "16:9",
"duration": 5,
"seed": 42,
}
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": "happyhorse-1.0",
"prompt": "A little girl walking down the road, cinematic feel",
"resolution": "1080P",
"size": "16:9",
"duration": 5,
"seed": 42
}
""";
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" => "happyhorse-1.0",
"prompt" => "A little girl walking down the road, cinematic feel",
"resolution" => "1080P",
"size" => "16:9",
"duration" => 5,
"seed" => 42
];
$ch = curl_init($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: "happyhorse-1.0",
prompt: "A little girl walking down the road, cinematic feel",
resolution: "1080P",
size: "16:9",
duration: 5,
seed: 42
}
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": "happyhorse-1.0",
"prompt": "A little girl walking down the road, cinematic feel",
"resolution": "1080P",
"size": "16:9",
"duration": 5,
"seed": 42
]
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"": ""happyhorse-1.0"",
""prompt"": ""A little girl walking down the road, cinematic feel"",
""resolution"": ""1080P"",
""size"": ""16:9"",
""duration"": 5,
""seed"": 42
}";
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_01J9HA7JPQ9A0Z6JZ3V8M9W6PZ"
}
]
}
{
"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": "happyhorse-1.0",
"prompt": "A little girl walking down the road, cinematic feel",
"resolution": "1080P",
"size": "16:9",
"duration": 5,
"seed": 42
}'
import requests
url = "https://api.apimart.ai/v1/videos/generations"
payload = {
"model": "happyhorse-1.0",
"prompt": "A little girl walking down the road, cinematic feel",
"resolution": "1080P",
"size": "16:9",
"duration": 5,
"seed": 42
}
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: "happyhorse-1.0",
prompt: "A little girl walking down the road, cinematic feel",
resolution: "1080P",
size: "16:9",
duration: 5,
seed: 42
};
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": "happyhorse-1.0",
"prompt": "A little girl walking down the road, cinematic feel",
"resolution": "1080P",
"size": "16:9",
"duration": 5,
"seed": 42,
}
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": "happyhorse-1.0",
"prompt": "A little girl walking down the road, cinematic feel",
"resolution": "1080P",
"size": "16:9",
"duration": 5,
"seed": 42
}
""";
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" => "happyhorse-1.0",
"prompt" => "A little girl walking down the road, cinematic feel",
"resolution" => "1080P",
"size" => "16:9",
"duration" => 5,
"seed" => 42
];
$ch = curl_init($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: "happyhorse-1.0",
prompt: "A little girl walking down the road, cinematic feel",
resolution: "1080P",
size: "16:9",
duration: 5,
seed: 42
}
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": "happyhorse-1.0",
"prompt": "A little girl walking down the road, cinematic feel",
"resolution": "1080P",
"size": "16:9",
"duration": 5,
"seed": 42
]
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"": ""happyhorse-1.0"",
""prompt"": ""A little girl walking down the road, cinematic feel"",
""resolution"": ""1080P"",
""size"": ""16:9"",
""duration"": 5,
""seed"": 42
}";
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_01J9HA7JPQ9A0Z6JZ3V8M9W6PZ"
}
]
}
{
"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"
}
}
Otorisasi
string
wajib
Semua endpoint API memerlukan autentikasi Bearer TokenDapatkan API Key Anda:Kunjungi Halaman Manajemen API Key untuk mendapatkan API Key AndaTambahkan ke header request:
Authorization: Bearer YOUR_API_KEY
Routing Mode
happyhorse-1.0 adalah entry terpadu untuk Teks-ke-Video / Gambar-ke-Video / Gambar-Referensi-ke-Video / Video Edit. Backend secara otomatis menentukan mode berdasarkan parameter yang masuk. Semua mode ditagih dengan aturan yang sama (hanya resolusi × detik):
| Field yang Anda kirim | Diarahkan Ke | Deskripsi Mode |
|---|---|---|
hanya prompt | Teks-ke-Video (T2V) | Membuat video murni dari teks |
prompt + first_frame_image | Gambar-ke-Video (I2V) | Menganimasikan dari gambar frame pertama |
prompt + image_urls (1–9 gambar) | Gambar-Referensi-ke-Video (R2V) | Membuat adegan baru dari gambar referensi |
prompt + video_url (opsional image_urls 0–5 sebagai referensi gaya / audio_setting) | Video Edit (EDIT) | Menulis ulang / mengubah gaya video sumber |
video_url > first_frame_image > image_urls > hanya prompt.
Aturan saling eksklusif: tiga field media (first_frame_image / image_urls / video_url) saling eksklusif secara berpasangan. Satu-satunya kombinasi valid adalah video_url + image_urls (mode EDIT + gambar referensi). Mengirim dua field yang saling eksklusif akan mengembalikan 400 mixed_media_not_allowed.
Parameter Request
string
wajib
Nama model pembuatan video, tetap sebagai
happyhorse-1.0boolean
default:"false"
Menentukan apakah moderasi konten dijalankan sebelum tugas video dikirim.
true: periksa prompt dan gambar input denganomni-moderation-latestfalseatau dihilangkan: tidak mengirim permintaan moderasi, tanpa biaya atau latensi moderasi tambahan (default)
string
Deskripsi konten video, hingga 2500 karakter; tidak boleh berisi token khusus
- Mode T2V / R2V / EDIT: wajib
- Mode I2V: opsional, tetapi direkomendasikan untuk memandu gerakan kamera dan aksi
"A little girl walking down the road, cinematic feel"string
Gambar frame pertama, memicu I2V (Gambar-ke-Video). Mendukung URL atau base64 (
data:image/<mime>;base64,<payload>, gateway mengunggahnya ke OSS secara otomatis)Saling eksklusif dengan image_urls / video_urlPersyaratan gambar frame pertama:
- Format: JPEG / JPG / PNG / BMP / WEBP
- Sisi pendek: ≥ 300px
- Rasio aspek:
1:2.5hingga2.5:1 - Ukuran file: ≤ 10MB
array<string>
Array gambar:
- Mode R2V (hanya
image_urlsyang diberikan): 1–9 gambar, digunakan sebagai referensi subjek/gaya untuk membuat adegan baru - Mode EDIT (diberikan bersama
video_url): 0–5 gambar, digunakan sebagai referensi gaya
first_frame_image; dapat digabungkan dengan video_urlPersyaratan gambar referensi:
- Format: JPEG / JPG / PNG / BMP / WEBP
- Sisi pendek: direkomendasikan ≥ 720p
- Rasio aspek: sisi pendek / sisi panjang ≥ 0.4
- Ukuran file: ≤ 10MB
- Jumlah: R2V harus 1–9; EDIT hingga 5
string
URL video sumber, memicu EDIT (Video Edit). Base64 tidak didukung — berikan link langsung HTTP/HTTPSSaling eksklusif dengan
first_frame_image; dapat digabungkan dengan image_urls (≤ 5)Persyaratan video sumber:
- Durasi: 3–60 detik (> 15 dtk akan otomatis dipotong oleh upstream dari 0 hingga 15 dtk)
- Resolusi: minimum 480p, sisi pendek ≥ 360
- Rasio aspek:
1:8hingga8:1 - Format: MP4 / MOV (H.264 direkomendasikan)
- Frame rate: > 8 fps
- Ukuran file: ≤ 100MB
Dalam mode EDIT, durasi video yang dibuat mengikuti video sumber (dibatasi pada potongan 15 dtk saat sumber lebih panjang). Parameter
duration tidak berpengaruh di sini. Untuk mengontrol panjang output, potong video sumber ke durasi target sebelum mengunggah.string
default:"auto"
Pengaturan audio, hanya efektif dalam mode EDIT (harus mengirim
video_url)Opsi:auto- Buat audio otomatis (default)origin- Pertahankan trek audio video sumber
Mengirim field ini di luar mode EDIT akan mengembalikan 400
audio_setting_only_for_editstring
default:"1080P"
Resolusi video (memengaruhi penagihan)Opsi:
720P- Standar1080P- Definisi tinggi (default)
integer
default:"5"
Durasi video dalam detik (memengaruhi penagihan)Rentang yang didukung: bilangan bulat apa pun dari
3 hingga 15Default: 5Tidak berpengaruh dalam mode EDIT (saat
video_url diberikan): durasi video yang dibuat mengikuti video sumber (ditagih berdasarkan potongan 15 dtk saat sumber lebih panjang dari 15 dtk). Untuk mengontrol panjang output, potong video sumber terlebih dahulu.string
default:"16:9"
Rasio aspekFormat yang didukung:
16:9- Lanskap widescreen (default)9:16- Potret1:1- Persegi4:3- Lanskap3:4- Potret
Diabaikan dalam mode I2V / EDIT — rasio aspek output ditentukan otomatis oleh media input (gambar frame pertama / video sumber)
boolean
default:"false"
Apakah menambahkan watermark ke video yang dibuat
true: Tambahkan watermarkfalse: Jangan tambahkan watermark (default)
integer
Seed acak yang digunakan untuk mengontrol keacakan konten yang dibuatRentang nilai:
[0, 2147483647]. Jika dihilangkan, seed acak akan digunakan.- Untuk request yang identik, model menghasilkan hasil berbeda ketika menerima nilai seed berbeda (misalnya seed dihilangkan)
- Untuk request yang identik, model menghasilkan hasil mirip ketika menerima nilai seed yang sama, tetapi konsistensi persis tidak dijamin
Respons
integer
Kode status respons, 200 jika berhasil
array
Kasus Penggunaan
Kasus 1: Teks-ke-Video T2V (Request Paling Sederhana)
{
"model": "happyhorse-1.0",
"prompt": "A little girl walking down the road, cinematic feel"
}
Kasus 2: Teks-ke-Video T2V (Parameter Lengkap)
{
"model": "happyhorse-1.0",
"prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
"resolution": "1080P",
"size": "16:9",
"duration": 8,
"seed": 42
}
Kasus 3: Gambar-ke-Video I2V (first_frame_image)
{
"model": "happyhorse-1.0",
"prompt": "Bring the scene in the image to life",
"first_frame_image": "https://example.com/first_frame.png",
"resolution": "1080P",
"duration": 5
}
Kasus 4: Gambar-Referensi-ke-Video R2V (beberapa referensi)
{
"model": "happyhorse-1.0",
"prompt": "The protagonist from image 1 runs through the scene from image 2, then picks up the prop from image 3. Keep a 3D cartoon style with smooth motion.",
"image_urls": [
"https://example.com/img_01.jpg",
"https://example.com/img_02.png",
"https://example.com/img_03.jpeg"
],
"resolution": "1080P",
"size": "16:9",
"duration": 5
}
Kasus 5: Edit Video EDIT (pertahankan audio asli + referensi gaya)
{
"model": "happyhorse-1.0",
"prompt": "Convert the character in the video to a cartoon style, preserving the original motion",
"video_url": "https://example.com/source.mp4",
"image_urls": [
"https://example.com/style_ref.jpg"
],
"resolution": "1080P",
"audio_setting": "origin",
"seed": 42
}
Kasus 6: 720P untuk Menghemat Biaya
{
"model": "happyhorse-1.0",
"prompt": "Waves crashing on the beach at sunset",
"resolution": "720P",
"size": "16:9",
"duration": 5
}
Panduan Pemilihan Mode
| Kebutuhan | Pendekatan yang Direkomendasikan |
|---|---|
| Membuat video hanya dari teks | Kirim hanya prompt (T2V) |
| Membuat gambar “hidup” (menggunakannya sebagai frame pertama) | Kirim first_frame_image (I2V) |
| Membuat adegan baru dari sekumpulan gambar referensi | Kirim image_urls (1–9, R2V) |
| Menulis ulang / mengubah gaya video yang ada | Kirim video_url (EDIT), opsional gabungkan dengan image_urls (0–5) sebagai referensi gaya |
| Menghemat biaya | Gunakan resolution: "720P" |
Tips Penggunaan
- Logika entry terpadu: field input menentukan mode. Perhatikan bahwa tiga field media (
first_frame_image/image_urls/video_url) saling eksklusif secara berpasangan sizehanya efektif di T2V/R2V: dalam mode I2V / EDIT,sizediabaikan — rasio aspek output ditentukan oleh media input- Durasi: 5–10 detik adalah rentang yang ideal. Terlalu pendek menyebabkan gerakan patah-patah; terlalu panjang meningkatkan waktu pemrosesan upstream secara signifikan
- Kualitas gambar frame pertama: jelas, komposisi baik, subjek berada di tengah — sangat meningkatkan output I2V
- Penulisan prompt: jelaskan gerakan / kamera / suasana (mis. “slow push-in, cinematic, warm tones”) untuk hasil yang lebih baik daripada deskripsi adegan statis saja
- Video input EDIT: > 15 detik akan otomatis dipotong oleh upstream dari 0 hingga 15 dtk. Jika memerlukan segmen lain, potong video terlebih dahulu sendiri
Kueri Hasil TugasPembuatan video adalah tugas asinkron yang mengembalikan
task_id saat dikirim. Gunakan endpoint Dapatkan Status Tugas untuk mengueri progres dan hasil pembuatan.