curl --request POST \
--url https://api.apimart.ai/v1/videos/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "kling-video-o1",
"prompt": "<<<image_1>>>の人物がカメラに向かって手を振る",
"image_urls": ["https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9"
}'
import requests
url = "https://api.apimart.ai/v1/videos/generations"
payload = {
"model": "kling-video-o1",
"prompt": "<<<image_1>>>の人物がカメラに向かって手を振る",
"image_urls": ["https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9"
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.json())
const url = "https://api.apimart.ai/v1/videos/generations";
const payload = {
model: "kling-video-o1",
prompt: "<<<image_1>>>の人物がカメラに向かって手を振る",
image_urls: ["https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
mode: "std",
duration: 5,
aspect_ratio: "16:9"
};
const headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
};
fetch(url, {
method: "POST",
headers: headers,
body: JSON.stringify(payload)
})
.then(response => response.json())
.then(data => console.log(data))
.catch(error => console.error('Error:', error));
package main
import (
"bytes"
"encoding/json"
"fmt"
"io/ioutil"
"net/http"
)
func main() {
url := "https://api.apimart.ai/v1/videos/generations"
payload := map[string]interface{}{
"model": "kling-video-o1",
"prompt": "<<<image_1>>>の人物がカメラに向かって手を振る",
"image_urls": []string{"https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"},
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9",
}
jsonData, _ := json.Marshal(payload)
req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
req.Header.Set("Authorization", "Bearer <token>")
req.Header.Set("Content-Type", "application/json")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := ioutil.ReadAll(resp.Body)
fmt.Println(string(body))
}
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.URI;
public class Main {
public static void main(String[] args) throws Exception {
String url = "https://api.apimart.ai/v1/videos/generations";
String payload = """
{
"model": "kling-video-o1",
"prompt": "<<<image_1>>>の人物がカメラに向かって手を振る",
"image_urls": ["https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9"
}
""";
HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create(url))
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.POST(HttpRequest.BodyPublishers.ofString(payload))
.build();
HttpResponse<String> response = client.send(request,
HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());
}
}
<?php
$url = "https://api.apimart.ai/v1/videos/generations";
$payload = [
"model" => "kling-video-o1",
"prompt" => "<<<image_1>>>の人物がカメラに向かって手を振る",
"image_urls" => ["https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
"mode" => "std",
"duration" => 5,
"aspect_ratio" => "16:9"
];
$ch = curl_init($url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($payload));
curl_setopt($ch, CURLOPT_HTTPHEADER, [
"Authorization: Bearer <token>",
"Content-Type: application/json"
]);
$response = curl_exec($ch);
curl_close($ch);
echo $response;
?>
require 'net/http'
require 'json'
require 'uri'
url = URI("https://api.apimart.ai/v1/videos/generations")
payload = {
model: "kling-video-o1",
prompt: "<<<image_1>>>の人物がカメラに向かって手を振る",
image_urls: ["https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
mode: "std",
duration: 5,
aspect_ratio: "16:9"
}
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = "Bearer <token>"
request["Content-Type"] = "application/json"
request.body = payload.to_json
response = http.request(request)
puts response.body
import Foundation
let url = URL(string: "https://api.apimart.ai/v1/videos/generations")!
let payload: [String: Any] = [
"model": "kling-video-o1",
"prompt": "<<<image_1>>>の人物がカメラに向かって手を振る",
"image_urls": ["https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9"
]
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("Bearer <token>", forHTTPHeaderField: "Authorization")
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.httpBody = try? JSONSerialization.data(withJSONObject: payload)
let task = URLSession.shared.dataTask(with: request) { data, response, error in
if let error = error {
print("Error: \(error)")
return
}
if let data = data, let responseString = String(data: data, encoding: .utf8) {
print(responseString)
}
}
task.resume()
using System;
using System.Net.Http;
using System.Text;
using System.Threading.Tasks;
class Program
{
static async Task Main(string[] args)
{
var url = "https://api.apimart.ai/v1/videos/generations";
var payload = @"{
""model"": ""kling-video-o1"",
""prompt"": ""<<<image_1>>>の人物がカメラに向かって手を振る"",
""image_urls"": [""https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp""],
""mode"": ""std"",
""duration"": 5,
""aspect_ratio"": ""16:9""
}";
using var client = new HttpClient();
client.DefaultRequestHeaders.Add("Authorization", "Bearer <token>");
var content = new StringContent(payload, Encoding.UTF8, "application/json");
var response = await client.PostAsync(url, content);
var result = await response.Content.ReadAsStringAsync();
Console.WriteLine(result);
}
}
{
"code": 200,
"data": [
{
"status": "submitted",
"task_id": "task_xxxxxxxxxx"
}
]
}
{
"error": {
"code": 400,
"message": "リクエストパラメータが無効です",
"type": "invalid_request_error"
}
}
{
"error": {
"code": 401,
"message": "認証に失敗しました。APIキーをご確認ください",
"type": "authentication_error"
}
}
{
"error": {
"code": 402,
"message": "残高不足です。チャージしてから再試行してください",
"type": "payment_required"
}
}
{
"error": {
"code": 429,
"message": "リクエストが多すぎます。しばらくしてから再試行してください",
"type": "rate_limit_error"
}
}
{
"error": {
"code": 500,
"message": "サーバー内部エラーです。しばらくしてから再試行してください",
"type": "server_error"
}
}
Kling Video O1
Kling Video O1 動画生成
- 推論強化モデル、最高品質の動画生成
- 非同期処理モード、タスクIDを返してその後の照会に使用
- 統一されたテキストから動画/画像から動画インターフェース、画像参照構文をサポート
- スタンダードモード(720P)とプロフェッショナルモード(1080P)をサポート
<<<image_N>>>画像参照構文でプロンプト内から画像を参照
POST
/
v1
/
videos
/
generations
curl --request POST \
--url https://api.apimart.ai/v1/videos/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "kling-video-o1",
"prompt": "<<<image_1>>>の人物がカメラに向かって手を振る",
"image_urls": ["https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9"
}'
import requests
url = "https://api.apimart.ai/v1/videos/generations"
payload = {
"model": "kling-video-o1",
"prompt": "<<<image_1>>>の人物がカメラに向かって手を振る",
"image_urls": ["https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9"
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.json())
const url = "https://api.apimart.ai/v1/videos/generations";
const payload = {
model: "kling-video-o1",
prompt: "<<<image_1>>>の人物がカメラに向かって手を振る",
image_urls: ["https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
mode: "std",
duration: 5,
aspect_ratio: "16:9"
};
const headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
};
fetch(url, {
method: "POST",
headers: headers,
body: JSON.stringify(payload)
})
.then(response => response.json())
.then(data => console.log(data))
.catch(error => console.error('Error:', error));
package main
import (
"bytes"
"encoding/json"
"fmt"
"io/ioutil"
"net/http"
)
func main() {
url := "https://api.apimart.ai/v1/videos/generations"
payload := map[string]interface{}{
"model": "kling-video-o1",
"prompt": "<<<image_1>>>の人物がカメラに向かって手を振る",
"image_urls": []string{"https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"},
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9",
}
jsonData, _ := json.Marshal(payload)
req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
req.Header.Set("Authorization", "Bearer <token>")
req.Header.Set("Content-Type", "application/json")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := ioutil.ReadAll(resp.Body)
fmt.Println(string(body))
}
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.URI;
public class Main {
public static void main(String[] args) throws Exception {
String url = "https://api.apimart.ai/v1/videos/generations";
String payload = """
{
"model": "kling-video-o1",
"prompt": "<<<image_1>>>の人物がカメラに向かって手を振る",
"image_urls": ["https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9"
}
""";
HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create(url))
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.POST(HttpRequest.BodyPublishers.ofString(payload))
.build();
HttpResponse<String> response = client.send(request,
HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());
}
}
<?php
$url = "https://api.apimart.ai/v1/videos/generations";
$payload = [
"model" => "kling-video-o1",
"prompt" => "<<<image_1>>>の人物がカメラに向かって手を振る",
"image_urls" => ["https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
"mode" => "std",
"duration" => 5,
"aspect_ratio" => "16:9"
];
$ch = curl_init($url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($payload));
curl_setopt($ch, CURLOPT_HTTPHEADER, [
"Authorization: Bearer <token>",
"Content-Type: application/json"
]);
$response = curl_exec($ch);
curl_close($ch);
echo $response;
?>
require 'net/http'
require 'json'
require 'uri'
url = URI("https://api.apimart.ai/v1/videos/generations")
payload = {
model: "kling-video-o1",
prompt: "<<<image_1>>>の人物がカメラに向かって手を振る",
image_urls: ["https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
mode: "std",
duration: 5,
aspect_ratio: "16:9"
}
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = "Bearer <token>"
request["Content-Type"] = "application/json"
request.body = payload.to_json
response = http.request(request)
puts response.body
import Foundation
let url = URL(string: "https://api.apimart.ai/v1/videos/generations")!
let payload: [String: Any] = [
"model": "kling-video-o1",
"prompt": "<<<image_1>>>の人物がカメラに向かって手を振る",
"image_urls": ["https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9"
]
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("Bearer <token>", forHTTPHeaderField: "Authorization")
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.httpBody = try? JSONSerialization.data(withJSONObject: payload)
let task = URLSession.shared.dataTask(with: request) { data, response, error in
if let error = error {
print("Error: \(error)")
return
}
if let data = data, let responseString = String(data: data, encoding: .utf8) {
print(responseString)
}
}
task.resume()
using System;
using System.Net.Http;
using System.Text;
using System.Threading.Tasks;
class Program
{
static async Task Main(string[] args)
{
var url = "https://api.apimart.ai/v1/videos/generations";
var payload = @"{
""model"": ""kling-video-o1"",
""prompt"": ""<<<image_1>>>の人物がカメラに向かって手を振る"",
""image_urls"": [""https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp""],
""mode"": ""std"",
""duration"": 5,
""aspect_ratio"": ""16:9""
}";
using var client = new HttpClient();
client.DefaultRequestHeaders.Add("Authorization", "Bearer <token>");
var content = new StringContent(payload, Encoding.UTF8, "application/json");
var response = await client.PostAsync(url, content);
var result = await response.Content.ReadAsStringAsync();
Console.WriteLine(result);
}
}
{
"code": 200,
"data": [
{
"status": "submitted",
"task_id": "task_xxxxxxxxxx"
}
]
}
{
"error": {
"code": 400,
"message": "リクエストパラメータが無効です",
"type": "invalid_request_error"
}
}
{
"error": {
"code": 401,
"message": "認証に失敗しました。APIキーをご確認ください",
"type": "authentication_error"
}
}
{
"error": {
"code": 402,
"message": "残高不足です。チャージしてから再試行してください",
"type": "payment_required"
}
}
{
"error": {
"code": 429,
"message": "リクエストが多すぎます。しばらくしてから再試行してください",
"type": "rate_limit_error"
}
}
{
"error": {
"code": 500,
"message": "サーバー内部エラーです。しばらくしてから再試行してください",
"type": "server_error"
}
}
curl --request POST \
--url https://api.apimart.ai/v1/videos/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "kling-video-o1",
"prompt": "<<<image_1>>>の人物がカメラに向かって手を振る",
"image_urls": ["https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9"
}'
import requests
url = "https://api.apimart.ai/v1/videos/generations"
payload = {
"model": "kling-video-o1",
"prompt": "<<<image_1>>>の人物がカメラに向かって手を振る",
"image_urls": ["https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9"
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.json())
const url = "https://api.apimart.ai/v1/videos/generations";
const payload = {
model: "kling-video-o1",
prompt: "<<<image_1>>>の人物がカメラに向かって手を振る",
image_urls: ["https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
mode: "std",
duration: 5,
aspect_ratio: "16:9"
};
const headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
};
fetch(url, {
method: "POST",
headers: headers,
body: JSON.stringify(payload)
})
.then(response => response.json())
.then(data => console.log(data))
.catch(error => console.error('Error:', error));
package main
import (
"bytes"
"encoding/json"
"fmt"
"io/ioutil"
"net/http"
)
func main() {
url := "https://api.apimart.ai/v1/videos/generations"
payload := map[string]interface{}{
"model": "kling-video-o1",
"prompt": "<<<image_1>>>の人物がカメラに向かって手を振る",
"image_urls": []string{"https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"},
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9",
}
jsonData, _ := json.Marshal(payload)
req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
req.Header.Set("Authorization", "Bearer <token>")
req.Header.Set("Content-Type", "application/json")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := ioutil.ReadAll(resp.Body)
fmt.Println(string(body))
}
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.URI;
public class Main {
public static void main(String[] args) throws Exception {
String url = "https://api.apimart.ai/v1/videos/generations";
String payload = """
{
"model": "kling-video-o1",
"prompt": "<<<image_1>>>の人物がカメラに向かって手を振る",
"image_urls": ["https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9"
}
""";
HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create(url))
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.POST(HttpRequest.BodyPublishers.ofString(payload))
.build();
HttpResponse<String> response = client.send(request,
HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());
}
}
<?php
$url = "https://api.apimart.ai/v1/videos/generations";
$payload = [
"model" => "kling-video-o1",
"prompt" => "<<<image_1>>>の人物がカメラに向かって手を振る",
"image_urls" => ["https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
"mode" => "std",
"duration" => 5,
"aspect_ratio" => "16:9"
];
$ch = curl_init($url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($payload));
curl_setopt($ch, CURLOPT_HTTPHEADER, [
"Authorization: Bearer <token>",
"Content-Type: application/json"
]);
$response = curl_exec($ch);
curl_close($ch);
echo $response;
?>
require 'net/http'
require 'json'
require 'uri'
url = URI("https://api.apimart.ai/v1/videos/generations")
payload = {
model: "kling-video-o1",
prompt: "<<<image_1>>>の人物がカメラに向かって手を振る",
image_urls: ["https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
mode: "std",
duration: 5,
aspect_ratio: "16:9"
}
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = "Bearer <token>"
request["Content-Type"] = "application/json"
request.body = payload.to_json
response = http.request(request)
puts response.body
import Foundation
let url = URL(string: "https://api.apimart.ai/v1/videos/generations")!
let payload: [String: Any] = [
"model": "kling-video-o1",
"prompt": "<<<image_1>>>の人物がカメラに向かって手を振る",
"image_urls": ["https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
"mode": "std",
"duration": 5,
"aspect_ratio": "16:9"
]
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("Bearer <token>", forHTTPHeaderField: "Authorization")
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.httpBody = try? JSONSerialization.data(withJSONObject: payload)
let task = URLSession.shared.dataTask(with: request) { data, response, error in
if let error = error {
print("Error: \(error)")
return
}
if let data = data, let responseString = String(data: data, encoding: .utf8) {
print(responseString)
}
}
task.resume()
using System;
using System.Net.Http;
using System.Text;
using System.Threading.Tasks;
class Program
{
static async Task Main(string[] args)
{
var url = "https://api.apimart.ai/v1/videos/generations";
var payload = @"{
""model"": ""kling-video-o1"",
""prompt"": ""<<<image_1>>>の人物がカメラに向かって手を振る"",
""image_urls"": [""https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp""],
""mode"": ""std"",
""duration"": 5,
""aspect_ratio"": ""16:9""
}";
using var client = new HttpClient();
client.DefaultRequestHeaders.Add("Authorization", "Bearer <token>");
var content = new StringContent(payload, Encoding.UTF8, "application/json");
var response = await client.PostAsync(url, content);
var result = await response.Content.ReadAsStringAsync();
Console.WriteLine(result);
}
}
{
"code": 200,
"data": [
{
"status": "submitted",
"task_id": "task_xxxxxxxxxx"
}
]
}
{
"error": {
"code": 400,
"message": "リクエストパラメータが無効です",
"type": "invalid_request_error"
}
}
{
"error": {
"code": 401,
"message": "認証に失敗しました。APIキーをご確認ください",
"type": "authentication_error"
}
}
{
"error": {
"code": 402,
"message": "残高不足です。チャージしてから再試行してください",
"type": "payment_required"
}
}
{
"error": {
"code": 429,
"message": "リクエストが多すぎます。しばらくしてから再試行してください",
"type": "rate_limit_error"
}
}
{
"error": {
"code": 500,
"message": "サーバー内部エラーです。しばらくしてから再試行してください",
"type": "server_error"
}
}
認証
string
必須
すべてのAPIエンドポイントはBearer Token認証が必要ですAPIキーの取得:APIキー管理ページにアクセスしてAPIキーを取得してくださいリクエストヘッダーに追加:
Authorization: Bearer YOUR_API_KEY
リクエストパラメータ
string
必須
動画生成モデル名サポートされているモデル:
kling-video-o1- Kling Video O1(推論強化、最高品質)
string
必須
ポジティブテキストプロンプト
<<<image_N>>> 構文で image_urls 内の画像を参照できます。N は 1 から始まります。例:"<<<image_1>>>の人物がカメラに向かって手を振る"画像が提供されているがプロンプトに
<<<image_N>>> 参照がない場合、システムは自動的にプロンプトの先頭に <<<image_1>>> を追加します。string
デフォルト:"std"
生成モードオプション:
std- スタンダードモード(720P)pro- プロフェッショナルモード(1080P)
stdinteger
デフォルト:"5"
動画の長さ(秒)オプション:
5 または 10デフォルト:5string
デフォルト:"16:9"
動画のアスペクト比オプション:
16:9- 横向き9:16- 縦向き1:1- 正方形
16:9array<url>
画像参照用の画像URL配列プロンプト内で
<<<image_N>>> 構文を使用して対応する画像を参照します(N は 1 から開始)例:["https://example.png"]- 画像URLは公開アクセス可能で、ホットリンク保護がないものである必要があります
- 画像から動画モードでは、
aspect_ratioが画像の実際の比率で上書きされる場合があります - 画像は最大2枚まで。配列の1枚目が先頭フレーム、2枚目が末尾フレームになります
array<object>
役割付き画像配列。画像から動画では推奨です。各項目の形式:
{ "url": "...", "role": "..." }first_frame:先頭フレームlast_frame:末尾フレームreference:参照画像
image_urlsとimage_with_rolesは二者択一で、同時に渡さないでください。- 画像が2枚を超える場合、開始フレーム・終了フレームの設定はサポートされません。
array
参照動画リスト(URL方式)、最大 1 本まで。
refer_type で種類を区別します:base:編集対象動画(デフォルト)feature:特徴参照動画
keep_original_sound で元音声を保持するかを設定します:no:保持しない(デフォルト)yes:元音声を保持する
"video_list":[
{ "video_url": "video_url", "refer_type": "base", "keep_original_sound": "no" }
]
video_urlは空にできず、動画URLはアクセス可能である必要がありますrefer_type=baseの場合:- 動画の開始/終了フレームは定義できません
- 参照動画は 3-10 秒である必要があります
- 生成動画の長さはアップロードした動画に従います
refer_type=featureかつvideo_urlが空でない場合:image_urlsには先頭フレーム画像のみアップロードできます
- 動画要件:MP4/MOV のみ対応;長さは 3 秒以上;解像度は 720px-2160px;フレームレートは 24-60fps(出力は 24fps);サイズは 200MB 以下
画像参照構文
Video O1 モデルは<<<image_N>>> 構文を使用してプロンプト内で画像を参照し、統一されたテキストから動画/画像から動画体験を提供します:
| 構文 | 説明 |
|---|---|
<<<image_1>>> | image_urls 配列の1番目の画像を参照 |
<<<image_2>>> | image_urls 配列の2番目の画像を参照 |
自動参照:
image_urls が提供されているがプロンプトに <<<image_N>>> 参照がない場合、システムは自動的にプロンプトの先頭に <<<image_1>>> を追加します。レスポンス
integer
レスポンスステータスコード、成功時は200
使用シーン
シーン 1:テキストから動画(最高品質)
{
"model": "kling-video-o1",
"prompt": "ゴールデンアワーの都市スカイラインのシネマティックショット",
"mode": "pro",
"duration": 5,
"aspect_ratio": "16:9"
}
シーン 2:画像参照(単一画像)
{
"model": "kling-video-o1",
"prompt": "<<<image_1>>>の人物がカメラに向かって手を振る",
"image_urls": ["https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
"mode": "pro",
"duration": 5
}
シーン 3:複数画像参照
{
"model": "kling-video-o1",
"prompt": "<<<image_1>>>のキャラクターが<<<image_2>>>のシーンに向かって歩く",
"image_urls": [
"https://example.com/character.jpg",
"https://example.com/scene.jpg"
],
"mode": "pro",
"duration": 5
}
シーン 4:画像提供で明示的な参照なし(自動追加)
{
"model": "kling-video-o1",
"prompt": "人物がゆっくり振り返って微笑む",
"image_urls": ["https://upload.apimart.ai/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
"mode": "std",
"duration": 5
}
システムは自動的にプロンプトの先頭に<<<image_1>>>を追加し、"<<<image_1>>>人物がゆっくり振り返って微笑む"と同等になります。
タスク結果の照会動画生成は非同期タスクです。送信後に
task_id が返されます。タスクステータスの取得 エンドポイントで生成の進捗と結果を照会できます。⌘I