curl --request POST \
--url https://api.apimart.ai/v1/images/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "doubao-seedance-4-5",
"prompt": "A cute panda playing in a bamboo forest",
"size": "1:1",
"resolution": "2K",
"n": 1,
"image_urls": [
"https://cdn.apimart.ai/doc/1761215838466614297_9852.png"
]
}'
import requests
url = "https://api.apimart.ai/v1/images/generations"
payload = {
"model": "doubao-seedance-4-5",
"prompt": "A cute panda playing in a bamboo forest",
"size": "1:1",
"resolution": "2K",
"n": 1,
"image_urls": [
"https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations";
const payload = {
model: "doubao-seedance-4-5",
prompt: "A cute panda playing in a bamboo forest",
size: "1:1",
resolution: "2K",
n: 1,
image_urls: [
"https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations"
payload := map[string]interface{}{
"model": "doubao-seedance-4-5",
"prompt": "A cute panda playing in a bamboo forest",
"size": "1:1",
"resolution": "2K",
"n": 1,
"image_urls": []string{
"https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations";
String payload = """
{
"model": "doubao-seedance-4-5",
"prompt": "A cute panda playing in a bamboo forest",
"size": "1:1",
"resolution": "2K",
"n": 1,
"image_urls": [
"https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations";
$payload = [
"model" => "doubao-seedance-4-5",
"prompt" => "A cute panda playing in a bamboo forest",
"size" => "1:1",
"resolution" => "2K",
"n" => 1,
"image_urls" => [
"https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations")
payload = {
model: "doubao-seedance-4-5",
prompt: "A cute panda playing in a bamboo forest",
size: "1:1",
resolution: "2K",
n: 1,
image_urls: [
"https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations")!
let payload: [String: Any] = [
"model": "doubao-seedance-4-5",
"prompt": "A cute panda playing in a bamboo forest",
"size": "1:1",
"resolution": "2K",
"n": 1,
"image_urls": [
"https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations";
var payload = @"{
""model"": ""doubao-seedance-4-5"",
""prompt"": ""A cute panda playing in a bamboo forest"",
""size"": ""1:1"",
""resolution"": ""2K"",
""n"": 1,
""image_urls"": [
""https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations";
const char *payload = "{"
"\"model\":\"doubao-seedance-4-5\","
"\"prompt\":\"A cute panda playing in a bamboo forest\","
"\"size\":\"1:1\","
"\"resolution\":\"2K\","
"\"n\":1,"
"\"image_urls\":[\"https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations"];
NSDictionary *payload = @{
@"model": @"doubao-seedance-4-5",
@"prompt": @"A cute panda playing in a bamboo forest",
@"size": @"1:1",
@"resolution": @"2K",
@"n": @1,
@"image_urls": @[
@"https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations"
let payload = {|{
"model": "doubao-seedance-4-5",
"prompt": "A cute panda playing in a bamboo forest",
"size": "1:1",
"resolution": "2K",
"n": 1,
"image_urls": [
"https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations');
final payload = {
'model': 'doubao-seedance-4-5',
'prompt': 'A cute panda playing in a bamboo forest',
'size': '1:1',
'resolution': '2K',
'n': 1,
'image_urls': [
'https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations"
payload <- list(
model = "doubao-seedance-4-5",
prompt = "A cute panda playing in a bamboo forest",
size = "1:1",
resolution = "2K",
n = 1,
image_urls = list(
"https://cdn.apimart.ai/doc/1761215838466614297_9852.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"
}
}
Seedream-4.5
Seedream-4.5 Pembuatan Gambar
- Mode pemrosesan asinkron, mengembalikan ID tugas untuk kueri berikutnya
- Mendukung beberapa mode pembuatan, termasuk text-to-image, image-to-image, dan pengeditan gambar
- Tautan gambar yang dihasilkan berlaku selama 24 jam; harap segera simpan
POST
/
v1
/
images
/
generations
curl --request POST \
--url https://api.apimart.ai/v1/images/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "doubao-seedance-4-5",
"prompt": "A cute panda playing in a bamboo forest",
"size": "1:1",
"resolution": "2K",
"n": 1,
"image_urls": [
"https://cdn.apimart.ai/doc/1761215838466614297_9852.png"
]
}'
import requests
url = "https://api.apimart.ai/v1/images/generations"
payload = {
"model": "doubao-seedance-4-5",
"prompt": "A cute panda playing in a bamboo forest",
"size": "1:1",
"resolution": "2K",
"n": 1,
"image_urls": [
"https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations";
const payload = {
model: "doubao-seedance-4-5",
prompt: "A cute panda playing in a bamboo forest",
size: "1:1",
resolution: "2K",
n: 1,
image_urls: [
"https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations"
payload := map[string]interface{}{
"model": "doubao-seedance-4-5",
"prompt": "A cute panda playing in a bamboo forest",
"size": "1:1",
"resolution": "2K",
"n": 1,
"image_urls": []string{
"https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations";
String payload = """
{
"model": "doubao-seedance-4-5",
"prompt": "A cute panda playing in a bamboo forest",
"size": "1:1",
"resolution": "2K",
"n": 1,
"image_urls": [
"https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations";
$payload = [
"model" => "doubao-seedance-4-5",
"prompt" => "A cute panda playing in a bamboo forest",
"size" => "1:1",
"resolution" => "2K",
"n" => 1,
"image_urls" => [
"https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations")
payload = {
model: "doubao-seedance-4-5",
prompt: "A cute panda playing in a bamboo forest",
size: "1:1",
resolution: "2K",
n: 1,
image_urls: [
"https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations")!
let payload: [String: Any] = [
"model": "doubao-seedance-4-5",
"prompt": "A cute panda playing in a bamboo forest",
"size": "1:1",
"resolution": "2K",
"n": 1,
"image_urls": [
"https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations";
var payload = @"{
""model"": ""doubao-seedance-4-5"",
""prompt"": ""A cute panda playing in a bamboo forest"",
""size"": ""1:1"",
""resolution"": ""2K"",
""n"": 1,
""image_urls"": [
""https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations";
const char *payload = "{"
"\"model\":\"doubao-seedance-4-5\","
"\"prompt\":\"A cute panda playing in a bamboo forest\","
"\"size\":\"1:1\","
"\"resolution\":\"2K\","
"\"n\":1,"
"\"image_urls\":[\"https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations"];
NSDictionary *payload = @{
@"model": @"doubao-seedance-4-5",
@"prompt": @"A cute panda playing in a bamboo forest",
@"size": @"1:1",
@"resolution": @"2K",
@"n": @1,
@"image_urls": @[
@"https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations"
let payload = {|{
"model": "doubao-seedance-4-5",
"prompt": "A cute panda playing in a bamboo forest",
"size": "1:1",
"resolution": "2K",
"n": 1,
"image_urls": [
"https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations');
final payload = {
'model': 'doubao-seedance-4-5',
'prompt': 'A cute panda playing in a bamboo forest',
'size': '1:1',
'resolution': '2K',
'n': 1,
'image_urls': [
'https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations"
payload <- list(
model = "doubao-seedance-4-5",
prompt = "A cute panda playing in a bamboo forest",
size = "1:1",
resolution = "2K",
n = 1,
image_urls = list(
"https://cdn.apimart.ai/doc/1761215838466614297_9852.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"
}
}
curl --request POST \
--url https://api.apimart.ai/v1/images/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "doubao-seedance-4-5",
"prompt": "A cute panda playing in a bamboo forest",
"size": "1:1",
"resolution": "2K",
"n": 1,
"image_urls": [
"https://cdn.apimart.ai/doc/1761215838466614297_9852.png"
]
}'
import requests
url = "https://api.apimart.ai/v1/images/generations"
payload = {
"model": "doubao-seedance-4-5",
"prompt": "A cute panda playing in a bamboo forest",
"size": "1:1",
"resolution": "2K",
"n": 1,
"image_urls": [
"https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations";
const payload = {
model: "doubao-seedance-4-5",
prompt: "A cute panda playing in a bamboo forest",
size: "1:1",
resolution: "2K",
n: 1,
image_urls: [
"https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations"
payload := map[string]interface{}{
"model": "doubao-seedance-4-5",
"prompt": "A cute panda playing in a bamboo forest",
"size": "1:1",
"resolution": "2K",
"n": 1,
"image_urls": []string{
"https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations";
String payload = """
{
"model": "doubao-seedance-4-5",
"prompt": "A cute panda playing in a bamboo forest",
"size": "1:1",
"resolution": "2K",
"n": 1,
"image_urls": [
"https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations";
$payload = [
"model" => "doubao-seedance-4-5",
"prompt" => "A cute panda playing in a bamboo forest",
"size" => "1:1",
"resolution" => "2K",
"n" => 1,
"image_urls" => [
"https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations")
payload = {
model: "doubao-seedance-4-5",
prompt: "A cute panda playing in a bamboo forest",
size: "1:1",
resolution: "2K",
n: 1,
image_urls: [
"https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations")!
let payload: [String: Any] = [
"model": "doubao-seedance-4-5",
"prompt": "A cute panda playing in a bamboo forest",
"size": "1:1",
"resolution": "2K",
"n": 1,
"image_urls": [
"https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations";
var payload = @"{
""model"": ""doubao-seedance-4-5"",
""prompt"": ""A cute panda playing in a bamboo forest"",
""size"": ""1:1"",
""resolution"": ""2K"",
""n"": 1,
""image_urls"": [
""https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations";
const char *payload = "{"
"\"model\":\"doubao-seedance-4-5\","
"\"prompt\":\"A cute panda playing in a bamboo forest\","
"\"size\":\"1:1\","
"\"resolution\":\"2K\","
"\"n\":1,"
"\"image_urls\":[\"https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations"];
NSDictionary *payload = @{
@"model": @"doubao-seedance-4-5",
@"prompt": @"A cute panda playing in a bamboo forest",
@"size": @"1:1",
@"resolution": @"2K",
@"n": @1,
@"image_urls": @[
@"https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations"
let payload = {|{
"model": "doubao-seedance-4-5",
"prompt": "A cute panda playing in a bamboo forest",
"size": "1:1",
"resolution": "2K",
"n": 1,
"image_urls": [
"https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations');
final payload = {
'model': 'doubao-seedance-4-5',
'prompt': 'A cute panda playing in a bamboo forest',
'size': '1:1',
'resolution': '2K',
'n': 1,
'image_urls': [
'https://cdn.apimart.ai/doc/1761215838466614297_9852.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/images/generations"
payload <- list(
model = "doubao-seedance-4-5",
prompt = "A cute panda playing in a bamboo forest",
size = "1:1",
resolution = "2K",
n = 1,
image_urls = list(
"https://cdn.apimart.ai/doc/1761215838466614297_9852.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"
}
}
Otorisasi
Semua endpoint API memerlukan autentikasi Bearer TokenDapatkan API Key Anda:Kunjungi Halaman Manajemen API Key untuk mendapatkan API Key AndaTambahkan ke header permintaan:
Authorization: Bearer YOUR_API_KEY
Body
Nama model pembuatan gambarModel yang didukung:
doubao-seedance-4-5, Doubao-Seedream-4.5, doubao-seedream-4.5, doubao-seedream-4-5Contoh: "doubao-seedance-4-5"Deskripsi teks untuk pembuatan gambar
Rasio aspek gambarRasio aspek yang didukung:
1:1- Persegi (default)4:3- Lanskap 4:33:4- Potret 3:416:9- Lanskap layar lebar9:16- Potret vertikal3:2- Lanskap 3:22:3- Potret 2:321:9- Ultra-lebar9:21- Ultra-tinggiauto- Otomatis mencocokkan rasio aspek gambar referensi (memerlukan image_urls)
Resolusi gambarResolusi yang didukung:
2K- Resolusi standar (default)4K- Definisi tinggi
Catatan: Seedream-4.5 tidak mendukung resolusi 1KUkuran referensi resolusi:
| Resolusi | 1:1 Ukuran | 16:9 Ukuran |
|---|---|---|
| 2K | 2048x2048 | 2560x1440 |
| 4K | 4096x4096 | 5404x3040 |
Tampilkan Tabel pemetaan piksel lengkap
Tampilkan Tabel pemetaan piksel lengkap
2K Resolusi
4K Resolusi
| Rasio | Piksel |
|---|---|
| 1:1 | 2048x2048 |
| 4:3 | 2304x1728 |
| 3:4 | 1728x2304 |
| 16:9 | 2560x1440 |
| 9:16 | 1440x2560 |
| 3:2 | 2496x1664 |
| 2:3 | 1664x2496 |
| 21:9 | 3024x1296 |
| 9:21 | 1296x3024 |
| Rasio | Piksel |
|---|---|
| 1:1 | 4096x4096 |
| 4:3 | 4694x3520 |
| 3:4 | 3520x4694 |
| 16:9 | 5404x3040 |
| 9:16 | 3040x5404 |
| 3:2 | 4992x3328 |
| 2:3 | 3328x4992 |
| 21:9 | 6198x2656 |
| 9:21 | 2656x6198 |
Jumlah gambar yang akan dibuatRentang nilai: 1-15 (minimum 1, maksimum 15)Default: 1Catatan:
- Harus memasukkan angka biasa (misalnya
1), jangan gunakan tanda kutip karena akan menyebabkan error
Jumlah gambar referensi di
image_urls + jumlah akhir gambar yang dibuat yang ditentukan oleh n harus ≤ 15.Daftar URL gambar referensi untuk image-to-image atau pengeditan gambarDua format didukung:1. URL gambar lengkap
- URL gambar yang dapat diakses publik (
http://atauhttps://) - Contoh:
https://example.com/image.jpg
- Harus menggunakan format Data URI lengkap
- Format:
data:image/{format};base64,{base64 data} - Format gambar yang didukung: jpeg, png
- Contoh:
data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABg... - Catatan: prefiks
data:image/jpeg;base64,wajib disertakan
- Format gambar: jpeg, png
- Rentang rasio aspek (lebar/tinggi): [1/3, 3]
- Lebar dan tinggi (px) > 14
- Ukuran: tidak melebihi 10MB
- Total piksel: tidak melebihi 6000×6000 px
Jumlah gambar referensi di
image_urls + jumlah akhir gambar yang dibuat yang ditentukan oleh n harus ≤ 15.Mode optimasi prompt
standard: Mode standar, menghasilkan konten berkualitas lebih tinggi dengan waktu pemrosesan lebih lamafast: Mode cepat, menghasilkan konten lebih cepat dengan kualitas reguler
standardMode pembuatan gambar sekuensial (fitur khusus Doubao)Mengatur apakah akan membuat beberapa gambar:
disabled: Nonaktifkan mode sekuensial, hanya membuat 1 gambar meskipun ada beberapa gambar referensi (default)auto: Aktifkan mode sekuensial, dapat membuat beberapa gambar
- ✅ Harus menyediakan
image_urls- minimal 1 gambar referensi diperlukan - ✅ Set
n: 3atau usesequential_image_generation: "auto"+max_images: 3 - ✅ Ini akan membuat 3 gambar berbeda berdasarkan gambar referensi
- ⚠️ Saat
n > 1, nilainya akan otomatis diatur keauto
- Text-to-image murni (tanpa
image_urls) tidak dapat membuat beberapa gambar - ini adalah batasan API Doubao
Sequential pembuatan gambar optionsTersedia saat
sequential_image_generation diatur ke autoProperti:max_images(integer): Tentukan jumlah gambar yang akan dibuat, Rentang: 1-15
"sequential_image_generation": "auto",
"sequential_image_generation_options": {
"max_images": 3
}
Apakah akan menambahkan watermark ke gambar yang dihasilkan
true: Tambahkan watermarkfalse: Tanpa watermark (default)
Respons
Kode status respons
⌘I