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
Génération d'images Seedream-4.5
- Mode de traitement asynchrone, retourne un identifiant de tâche pour les requêtes ultérieures
- Prend en charge plusieurs modes de génération, notamment texte-vers-image, image-vers-image et édition d’image
- Les liens des images générées sont valides 24 heures, veuillez les enregistrer rapidement
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"
}
}
Autorisations
Tous les points de terminaison de l’API nécessitent une authentification Bearer TokenObtenez votre clé API :Visitez la page de gestion des clés API pour obtenir votre clé APIAjoutez-la à l’en-tête de la requête :
Authorization: Bearer YOUR_API_KEY
Body
Nom du modèle de génération d’imagesModèles pris en charge :
doubao-seedance-4-5, Doubao-Seedream-4.5, doubao-seedream-4.5, doubao-seedream-4-5Exemple : "doubao-seedance-4-5"Description textuelle pour la génération d’images
Rapport d’aspect de l’imageRapports pris en charge :
1:1— Carré (par défaut)4:3— Paysage 4:33:4— Portrait 3:416:9— Paysage écran large9:16— Portrait vertical3:2— Paysage 3:22:3— Portrait 2:321:9— Ultra-large9:21— Ultra-hautauto— Adaptation automatique au rapport d’aspect de l’image de référence (nécessiteimage_urls)
Résolution de l’imageRésolutions prises en charge :
2K— Résolution standard (par défaut)4K— Haute définition
Remarque : Seedream-4.5 ne prend pas en charge la résolution 1KTailles de référence par résolution :
| Résolution | Taille 1:1 | Taille 16:9 |
|---|---|---|
| 2K | 2048x2048 | 2560x1440 |
| 4K | 4096x4096 | 5404x3040 |
Afficher Tableau complet de correspondance des pixels
Afficher Tableau complet de correspondance des pixels
Résolution 2K
Résolution 4K
| Rapport | Pixels |
|---|---|
| 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 |
| Rapport | Pixels |
|---|---|
| 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 |
Nombre d’images à générerPlage : 1-15 (minimum 1, maximum 15)Par défaut : 1Remarque :
- Vous devez saisir un nombre simple (par exemple,
1), n’utilisez pas de guillemets, sinon cela provoquera une erreur
Le nombre d’images de référence dans
image_urls + le nombre final d’images générées spécifié par n doit être ≤ 15.Liste d’URL d’images de référence pour la génération image-vers-image ou l’édition d’imageDeux formats sont pris en charge :1. URL d’image complète
- URL d’image publiquement accessible (
http://ouhttps://) - Exemple :
https://example.com/image.jpg
- Doit utiliser le format Data URI complet
- Format :
data:image/{format};base64,{données base64} - Formats d’image pris en charge : jpeg, png
- Exemple :
data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABg... - Remarque : le préfixe
data:image/jpeg;base64,est obligatoire
- Formats d’image : jpeg, png
- Plage de rapport d’aspect (largeur/hauteur) : [1/3, 3]
- Largeur et hauteur (px) > 14
- Taille : ne dépassant pas 10 Mo
- Pixels totaux : ne dépassant pas 6000×6000 px
Le nombre d’images de référence dans
image_urls + le nombre final d’images générées spécifié par n doit être ≤ 15.Mode d’optimisation du prompt
standard: mode standard, génère du contenu de meilleure qualité avec un temps de traitement plus longfast: mode rapide, génère du contenu en moins de temps avec une qualité normale
standardMode de génération séquentielle d’images (fonctionnalité spécifique à Doubao)Contrôle la génération de plusieurs images :
disabled: désactive le mode séquentiel, ne génère qu’une seule image même avec plusieurs images de référence (par défaut)auto: active le mode séquentiel, peut générer plusieurs images
- Vous devez fournir
image_urls— au moins 1 image de référence est requise - Définissez
n: 3ou utilisezsequential_image_generation: "auto"+max_images: 3 - Cela générera 3 images différentes basées sur les images de référence
- Lorsque
n > 1, ce paramètre est automatiquement défini surauto
- La génération texte-vers-image pure (sans
image_urls) ne peut pas générer plusieurs images — il s’agit d’une limitation de l’API Doubao
Options de génération séquentielle d’imagesDisponible lorsque
sequential_image_generation est défini sur autoPropriétés :max_images(integer) : précise le nombre d’images à générer, plage : 1–15
"sequential_image_generation": "auto",
"sequential_image_generation_options": {
"max_images": 3
}
Ajouter ou non un filigrane à l’image générée
true: ajouter un filigranefalse: pas de filigrane (par défaut)
Response
Code de statut de la réponse
⌘I