curl --request POST \
--url https://api.apimart.ai/v1/images/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "seedream-5-0-pro",
"prompt": "赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
"size": "16:9",
"resolution": "2K"
}'
import requests
url = "https://api.apimart.ai/v1/images/generations"
payload = {
"model": "seedream-5-0-pro",
"prompt": "赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
"size": "16:9",
"resolution": "2K"
}
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: "seedream-5-0-pro",
prompt: "赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
size: "16:9",
resolution: "2K"
};
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": "seedream-5-0-pro",
"prompt": "赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
"size": "16:9",
"resolution": "2K",
}
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": "seedream-5-0-pro",
"prompt": "赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
"size": "16:9",
"resolution": "2K"
}
""";
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" => "seedream-5-0-pro",
"prompt" => "赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
"size" => "16:9",
"resolution" => "2K"
];
$ch = curl_init($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: "seedream-5-0-pro",
prompt: "赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
size: "16:9",
resolution: "2K"
}
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": "seedream-5-0-pro",
"prompt": "赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
"size": "16:9",
"resolution": "2K"
]
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"": ""seedream-5-0-pro"",
""prompt"": ""赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上"",
""size"": ""16:9"",
""resolution"": ""2K""
}";
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\":\"seedream-5-0-pro\","
"\"prompt\":\"赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上\","
"\"size\":\"16:9\","
"\"resolution\":\"2K\""
"}";
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": @"seedream-5-0-pro",
@"prompt": @"赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
@"size": @"16:9",
@"resolution": @"2K"
};
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": "seedream-5-0-pro",
"prompt": "赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
"size": "16:9",
"resolution": "2K"
}|}
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': 'seedream-5-0-pro',
'prompt': '赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上',
'size': '16:9',
'resolution': '2K'
};
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 = "seedream-5-0-pro",
prompt = "赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
size = "16:9",
resolution = "2K"
)
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": "请求参数无效",
"type": "invalid_request_error"
}
}
{
"error": {
"code": 401,
"message": "身份验证失败,请检查您的API密钥",
"type": "authentication_error"
}
}
{
"error": {
"code": 402,
"message": "账户余额不足,请充值后再试",
"type": "payment_required"
}
}
{
"error": {
"code": 403,
"message": "访问被禁止,您没有权限访问此资源",
"type": "permission_error"
}
}
{
"error": {
"code": 429,
"message": "请求过于频繁,请稍后再试",
"type": "rate_limit_error"
}
}
{
"error": {
"code": 500,
"message": "服务器内部错误,请稍后重试",
"type": "server_error"
}
}
{
"error": {
"code": 502,
"message": "网关错误,服务器暂时不可用",
"type": "bad_gateway"
}
}
Seedream-5.0-Pro
Seedream-5.0-Pro 图像生成
- 异步处理模式,返回任务 ID 用于后续查询
- 支持文生图、图生图、多参考图融合(最多 10 张参考图)
- 独有能力:坐标 / 手绘标记交互编辑、底图 + 最多 16 层的图层拆分
- 支持 1K / 1.5K / 2K 分辨率档位,或
size直接指定精确像素 - 单图模型:每次仅生成 1 张;支持 PNG / JPEG 输出
- 输出图片镜像到平台自有存储并返回平台 URL
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": "seedream-5-0-pro",
"prompt": "赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
"size": "16:9",
"resolution": "2K"
}'
import requests
url = "https://api.apimart.ai/v1/images/generations"
payload = {
"model": "seedream-5-0-pro",
"prompt": "赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
"size": "16:9",
"resolution": "2K"
}
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: "seedream-5-0-pro",
prompt: "赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
size: "16:9",
resolution: "2K"
};
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": "seedream-5-0-pro",
"prompt": "赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
"size": "16:9",
"resolution": "2K",
}
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": "seedream-5-0-pro",
"prompt": "赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
"size": "16:9",
"resolution": "2K"
}
""";
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" => "seedream-5-0-pro",
"prompt" => "赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
"size" => "16:9",
"resolution" => "2K"
];
$ch = curl_init($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: "seedream-5-0-pro",
prompt: "赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
size: "16:9",
resolution: "2K"
}
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": "seedream-5-0-pro",
"prompt": "赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
"size": "16:9",
"resolution": "2K"
]
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"": ""seedream-5-0-pro"",
""prompt"": ""赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上"",
""size"": ""16:9"",
""resolution"": ""2K""
}";
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\":\"seedream-5-0-pro\","
"\"prompt\":\"赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上\","
"\"size\":\"16:9\","
"\"resolution\":\"2K\""
"}";
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": @"seedream-5-0-pro",
@"prompt": @"赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
@"size": @"16:9",
@"resolution": @"2K"
};
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": "seedream-5-0-pro",
"prompt": "赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
"size": "16:9",
"resolution": "2K"
}|}
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': 'seedream-5-0-pro',
'prompt': '赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上',
'size': '16:9',
'resolution': '2K'
};
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 = "seedream-5-0-pro",
prompt = "赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
size = "16:9",
resolution = "2K"
)
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": "请求参数无效",
"type": "invalid_request_error"
}
}
{
"error": {
"code": 401,
"message": "身份验证失败,请检查您的API密钥",
"type": "authentication_error"
}
}
{
"error": {
"code": 402,
"message": "账户余额不足,请充值后再试",
"type": "payment_required"
}
}
{
"error": {
"code": 403,
"message": "访问被禁止,您没有权限访问此资源",
"type": "permission_error"
}
}
{
"error": {
"code": 429,
"message": "请求过于频繁,请稍后再试",
"type": "rate_limit_error"
}
}
{
"error": {
"code": 500,
"message": "服务器内部错误,请稍后重试",
"type": "server_error"
}
}
{
"error": {
"code": 502,
"message": "网关错误,服务器暂时不可用",
"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": "seedream-5-0-pro",
"prompt": "赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
"size": "16:9",
"resolution": "2K"
}'
import requests
url = "https://api.apimart.ai/v1/images/generations"
payload = {
"model": "seedream-5-0-pro",
"prompt": "赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
"size": "16:9",
"resolution": "2K"
}
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: "seedream-5-0-pro",
prompt: "赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
size: "16:9",
resolution: "2K"
};
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": "seedream-5-0-pro",
"prompt": "赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
"size": "16:9",
"resolution": "2K",
}
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": "seedream-5-0-pro",
"prompt": "赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
"size": "16:9",
"resolution": "2K"
}
""";
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" => "seedream-5-0-pro",
"prompt" => "赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
"size" => "16:9",
"resolution" => "2K"
];
$ch = curl_init($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: "seedream-5-0-pro",
prompt: "赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
size: "16:9",
resolution: "2K"
}
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": "seedream-5-0-pro",
"prompt": "赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
"size": "16:9",
"resolution": "2K"
]
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"": ""seedream-5-0-pro"",
""prompt"": ""赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上"",
""size"": ""16:9"",
""resolution"": ""2K""
}";
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\":\"seedream-5-0-pro\","
"\"prompt\":\"赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上\","
"\"size\":\"16:9\","
"\"resolution\":\"2K\""
"}";
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": @"seedream-5-0-pro",
@"prompt": @"赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
@"size": @"16:9",
@"resolution": @"2K"
};
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": "seedream-5-0-pro",
"prompt": "赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
"size": "16:9",
"resolution": "2K"
}|}
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': 'seedream-5-0-pro',
'prompt': '赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上',
'size': '16:9',
'resolution': '2K'
};
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 = "seedream-5-0-pro",
prompt = "赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
size = "16:9",
resolution = "2K"
)
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": "请求参数无效",
"type": "invalid_request_error"
}
}
{
"error": {
"code": 401,
"message": "身份验证失败,请检查您的API密钥",
"type": "authentication_error"
}
}
{
"error": {
"code": 402,
"message": "账户余额不足,请充值后再试",
"type": "payment_required"
}
}
{
"error": {
"code": 403,
"message": "访问被禁止,您没有权限访问此资源",
"type": "permission_error"
}
}
{
"error": {
"code": 429,
"message": "请求过于频繁,请稍后再试",
"type": "rate_limit_error"
}
}
{
"error": {
"code": 500,
"message": "服务器内部错误,请稍后重试",
"type": "server_error"
}
}
{
"error": {
"code": 502,
"message": "网关错误,服务器暂时不可用",
"type": "bad_gateway"
}
}
Authorizations
string
必填
所有接口均需要使用Bearer Token进行认证获取 API Key:访问 API Key 管理页面 获取您的 API Key使用时在请求头中添加:
Authorization: Bearer YOUR_API_KEY
单图模型:
seedream-5-0-pro 每次请求仅生成 1 张图像(图层拆分除外)。以下参数会直接拒绝(返回 400,不建任务、不扣费):n > 1sequential_image_generation(不支持组图)stream(不支持流式输出)tools(不支持联网搜索)image_urls超过 10 张
交互编辑
在提示词中使用
<point> / <bbox> 坐标,或上传带手绘标记的图片,精确指定编辑位置。- 点选坐标:
<point>x y</point>(指定一个点,由模型判断影响范围) - 框选坐标:
<bbox>x1 y1 x2 y2</bbox>(指定左上角和右下角坐标,精确控制编辑区域大小)
图层拆分
将一张图片拆成 1 张底图和最多 16 个透明 PNG 图层,并返回位置与层级信息。
Body
string
默认值:"seedream-5-0-pro"
必填
图像生成模型名称
seedream-5-0-pro(推荐)- 亦接受:
seedream-5.0-pro
boolean
默认值:"false"
是否在提交图片任务前执行内容审核。
true:使用omni-moderation-latest审核提示词和输入图片false或不传:不发起审核请求,不增加审核成本与延迟(默认)
string
必填
图像生成的文本描述使用
layer_decomposition: true 时可省略;省略后模型会自动识别并拆分图片中的主要元素。除中英文外,还支持俄语、阿拉伯语、菲律宾语、泰语、土耳其语、韩语、马来语、西班牙语、葡萄牙语、印度尼西亚语、法语、德语、越南语和日语的原生文字生成。建议: 控制在 600 英文单词以内,描述过长可能导致细节丢失。
string
默认值:"1K"
分辨率档位(兼容小写)。这是本站提供的扩展字段,等价于将档位直接写在
size 中。1K(默认)1.5K(与 1K 同价,画质更好,无特殊理由建议优先用 1.5K)2K
size 与 resolution 时,以 size 为准。当
size 为精确像素值(如 2048x1024)时,本字段被忽略,尺寸完全由 size 决定。string
默认值:"auto"
档位关键字、宽高比、上面两种写法等价。只指定档位时,可在 prompt 中描述“竖版海报”“横版封面”等用途,由模型决定宽高比。
auto,或精确像素值。写法 ①:指定档位(推荐)
档位可以直接写在size 中,也可以使用本站扩展字段 resolution:{ "size": "2K" }
{ "resolution": "2K" }
写法 ②:档位 + 宽高比
与resolution 配合使用。支持的宽高比:1:1、4:3、3:4、16:9、9:16、3:2、2:3、2:1、1:2、21:9- 兼容
16x9这种x写法;2x1与2:1等价,1x2与1:2等价 - 别名中的
x必须小写,且不能包含空格 auto(默认):只下发分辨率档位,最终宽高比由模型根据 prompt / 参考图自动判断
9:21)直接返回 400,不会静默回退成 1:1。档位 × 比例 → 实际输出像素:| 分辨率 | 1:1 | 4:3 | 3:4 | 16:9 | 9:16 | 3:2 | 2:3 | 2:1 | 1:2 | 21:9 |
|---|---|---|---|---|---|---|---|---|---|---|
| 1K | 1024×1024 | 1152×864 | 864×1152 | 1312×736 | 736×1312 | 1248×832 | 832×1248 | 1440×720 | 720×1440 | 1568×672 |
| 1.5K | 1536×1536 | 1792×1344 | 1344×1792 | 2048×1152 | 1152×2048 | 1872×1248 | 1248×1872 | 2176×1088 | 1088×2176 | 2352×1008 |
| 2K | 2048×2048 | 2304×1728 | 1728×2304 | 2560×1440 | 1440×2560 | 2496×1664 | 1664×2496 | 2880×1440 | 1440×2880 | 3024×1296 |
{ "resolution": "2K", "size": "2:1" }
写法 ③:精确像素
size 写成 宽x高 时按像素输出,resolution 不参与。兼容 2048X1024 / 2048×1024。| 约束 | 取值 |
|---|---|
| 总像素(宽 × 高) | [921600, 4624220](约 1280×720 ~ 2048×2048×1.1025) |
| 宽高比(宽 / 高) | [1/16, 16] |
限制的是宽高乘积,不是单边。例如
512×512 总像素过低会 400;2048×1024 合法。string
默认值:"opaque"
输出背景模式:
opaque:实体背景(默认)transparent:透明背景
transparent 只能用于图生图,并且必须恰好传入 1 张本身带透明通道的输入图;同时必须设置 output_format: "png"。boolean
默认值:"false"
是否进行图层拆分。开启后,模型会输出 1 张底图和最多 16 个带透明通道的 PNG 图层。开启时必须恰好传入 1 张 PNG 或 JPEG 图片,图片总像素须在
[262144, 36000000] 内且大小不超过 30 MB;size 只接受 1K、1.5K、2K 或 auto,默认 auto。output_format 只控制底图格式,拆出的图层恒为 PNG。object
默认值:"{\"mode\":\"standard\"}"
提示词优化模式:
standard:标准模式,质量更好(默认)
"optimize_prompt_options.mode": "standard"。integer
默认值:"1"
生成图片数量。只能是
1;需要组图生成时请改用 seedream-5-0-lite。array
参考图像的 URL 列表,用于单图 / 多参考图生图,最多 10 张支持两种格式:1. 公网 URL
http://或https://可访问链接- 示例:
https://example.com/image.jpg
- 格式:
data:image/<格式>;base64,<编码>,<格式>必须小写 - 示例:
data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABg...
- 格式:jpeg / png / webp / bmp / tiff / gif / heic / heif
- 宽高比(宽/高):
[1/16, 16] - 单边 > 14 px
- 大小 ≤ 30 MB
- 总像素 ≤
6000×6000(36,000,000)
计费: 第 1 张参考图免费,第 2 张起每张加收固定单价。
string
默认值:"jpeg"
输出图片格式
jpeg(默认)png
兼容:response_format与output_format等价,其余取值按jpeg处理。
boolean
默认值:"false"
是否在生成图像右下角添加 “AI generated” 水印
true:添加false:不添加(默认)
请求示例
文生图(档位 + 比例)
{
"model": "seedream-5-0-pro",
"prompt": "赛博朋克风格的城市夜景,霓虹灯反射在湿润街道上",
"resolution": "2K",
"size": "2:1",
"output_format": "png"
}
文生图(精确像素)
{
"model": "seedream-5-0-pro",
"prompt": "极简风格电商主图,白底,产品居中",
"size": "1600x1600"
}
多参考图
{
"model": "seedream-5-0-pro",
"prompt": "将图 1 的服装换为图 2 的服装",
"image_urls": [
"https://example.com/person.jpg",
"https://example.com/dress.jpg"
],
"resolution": "2K",
"size": "auto"
}
推荐:1.5K 同价更好画质
{
"model": "seedream-5-0-pro",
"prompt": "一只可爱的橘猫坐在窗台上,午后阳光,电影感",
"resolution": "1.5K",
"size": "16:9"
}
图层拆分
{
"model": "seedream-5-0-pro",
"image_urls": ["https://example.com/poster.png"],
"layer_decomposition": true,
"size": "2K"
}
0–1000 的 <bbox> 坐标精确指定要拆出的元素:
{
"model": "seedream-5-0-pro",
"prompt": "将图片进行精确图层分离,文字坐标为<bbox>180 64 812 198</bbox>;鹦鹉坐标为<bbox>347 305 642 997</bbox>。",
"image_urls": ["https://example.com/poster.png"],
"layer_decomposition": true
}
交互编辑
用自然语言描述图片中的手绘标记:{
"model": "seedream-5-0-pro",
"prompt": "根据手绘草图编辑图像。在左下角标记区域添加一叠杂志,在右侧标记区域添加一杯咖啡。移除所有草图线条,保持构图不变。",
"image_urls": ["https://example.com/sketch.png"],
"size": "2K",
"output_format": "png"
}
<point> / <bbox> 精准定位:
{
"model": "seedream-5-0-pro",
"prompt": "将图 1 <bbox>179 283 796 986</bbox> 的主体放到图 2 <bbox>118 331 933 871</bbox> 位置。",
"image_urls": [
"https://example.com/a.png",
"https://example.com/b.png"
]
}
透明通道编辑
{
"model": "seedream-5-0-pro",
"prompt": "将鹦鹉改成孔雀,保留透明背景",
"image_urls": ["https://cdn.example.com/images/layer.png"],
"background": "transparent",
"output_format": "png",
"size": "2K"
}
完整示例:提交并获取图片
下面的脚本完整展示了提交异步任务、轮询任务状态、处理失败状态并读取最终图片地址的流程。复制前请替换YOUR_API_KEY。
Python
import time
import requests
API_KEY = "YOUR_API_KEY"
BASE_URL = "https://api.apimart.ai"
headers = {
"Authorization": f"Bearer {API_KEY}",
"Content-Type": "application/json",
}
# 1. 提交生成任务
create_response = requests.post(
f"{BASE_URL}/v1/images/generations",
headers=headers,
json={
"model": "seedream-5-0-pro",
"prompt": "水墨风格的江南小镇,清晨薄雾",
"resolution": "1.5K",
"size": "16:9",
"output_format": "png",
},
timeout=30,
)
create_response.raise_for_status()
task_id = create_response.json()["data"][0]["task_id"]
print(f"任务已提交:{task_id}")
# 2. 轮询任务状态
while True:
task_response = requests.get(
f"{BASE_URL}/v1/tasks/{task_id}",
headers=headers,
timeout=30,
)
task_response.raise_for_status()
task = task_response.json()
status = task["status"]
print(f"状态:{status},进度:{task.get('progress', 0)}%")
if status == "success":
image = task["result"]["images"][0]
print("图片地址:", image["url"][0])
print("图片尺寸:", image["sizes"][0])
print("图片格式:", image["output_formats"][0])
break
if status in {"failed", "cancelled"}:
raise RuntimeError(task.get("error", f"任务{status}"))
time.sleep(5)
{
"id": "task_01JFXYZ123456789ABCDEF",
"status": "success",
"progress": 100,
"cost": 0.045,
"result": {
"images": [
{
"url": ["https://cdn.example.com/images/image_task_xxx_0.png"],
"sizes": ["2048x1152"],
"output_formats": ["png"],
"expires_at": 1784696685
}
]
}
}
返回图片已镜像到平台自有存储。仍建议在业务侧及时下载并持久化,不要把结果 URL 当作永久存储。
完整 cURL 场景示例
多图融合(最多 10 张参考图)
curl -X POST "https://api.apimart.ai/v1/images/generations" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "seedream-5-0-pro",
"prompt": "把图 1 的人物放进图 2 的场景,光线统一为黄昏",
"image_urls": [
"https://example.com/person.jpg",
"https://example.com/scene.jpg"
],
"resolution": "1.5K",
"size": "16:9",
"output_format": "png"
}'
精确像素、提示词优化与水印
curl -X POST "https://api.apimart.ai/v1/images/generations" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "seedream-5-0-pro",
"prompt": "赛博朋克风格的城市天际线,霓虹灯反射在湿漉漉的街道上",
"size": "2048x1024",
"optimize_prompt_options": { "mode": "standard" },
"watermark": true
}'
拆分并单独编辑透明图层
第一步,拆分原图:curl -X POST "https://api.apimart.ai/v1/images/generations" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "seedream-5-0-pro",
"image_urls": ["https://example.com/poster.png"],
"layer_decomposition": true,
"size": "2K"
}'
curl -X POST "https://api.apimart.ai/v1/images/generations" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "seedream-5-0-pro",
"prompt": "将图片中的鹦鹉改为孔雀",
"image_urls": ["https://cdn.example.com/images/image_task_xxx_4.png"],
"background": "transparent",
"output_format": "png",
"size": "2K"
}'
图层拆分响应与重组
url、sizes、output_formats 与 layers 数组按下标一一对应,下标 0 恒为底图:
{
"result": {
"images": [{
"url": [
"https://cdn.example.com/images/image_task_xxx_0.jpeg",
"https://cdn.example.com/images/image_task_xxx_1.png",
"https://cdn.example.com/images/image_task_xxx_2.png"
],
"sizes": ["2048x2048", "1273x265", "492x98"],
"output_formats": ["jpeg", "png", "png"],
"layer_decomposition": true,
"layers": [
{ "z_index": 0, "size": "2048x2048", "output_format": "jpeg" },
{
"z_index": 1,
"size": "1273x265",
"output_format": "png",
"name": "标题文字",
"description": "黄色大号衬线字体的标题文字",
"bounding_box": {
"absolute": [383, 120, 1655, 384],
"normalized": [187, 59, 808, 188]
}
},
{
"z_index": 2,
"size": "492x98",
"output_format": "png",
"name": "左上角标语",
"description": "白色两行英文标语",
"bounding_box": {
"absolute": [140, 451, 631, 548],
"normalized": [68, 220, 308, 268]
}
}
]
}]
}
}
z_index 从小到大叠放。使用绝对坐标还原到输出底图时:
x = left
y = top
w = right - left
h = bottom - top
W × H 画布时,使用归一化坐标:
x = left / 1000 × W
y = top / 1000 × H
w = (right - left) / 1000 × W
h = (bottom - top) / 1000 × H
图层拆分按张收费。提交时按最多 17 张预扣;任务完成后,按每张图片的实际输出像素逐张判档并结算,多扣的自动退回。账户余额必须足以覆盖 17 张预扣;
size: "auto" 按 2K 档预扣。计费说明
总价 = 输出图单价 + 输入参考图加价 × max(0, 参考图张数 − 1)
| 条件 | 单价 |
|---|---|
总像素 ≤ 2.61M(1.5K 及以下:resolution 为 1K / 1.5K / 不传,或精确像素 ≤ 2,601,124) | $0.045 / 张 |
总像素 > 2.61M(高于 1.5K:resolution: "2K",或精确像素 > 2,601,124) | $0.09 / 张 |
- 1.5K 与 1K 同价(均为 $0.045)。
size为精确像素时按实际输出面积计费,resolution不影响(例如size: "2048x2048"按 $0.09)。- 第 1 张参考图免费,第 2 张起每张另计参考图加价。
- 任务失败自动全额退款。
图层拆分的预扣与结算
提交任务时尚不知道最终会生成多少图层及其尺寸,因此按请求参数保守预扣:- 精确像素:按该像素面积判档。
1K/1.5K:按 1K 档预扣。2K:按 2K 档预扣。auto:最高可输出到 2K,因此按 2K 档预扣。
例如:一张
1080×1080 输入图最终拆成 10 张图片。提交时按 17 张 × 2K 档 预扣;如果最终 10 张图片都不超过 261 万像素,则按 10 张 × 1K 档 结算,剩余额度自动退回。常见错误
| 场景 | 说明 |
|---|---|
不支持的 resolution 档位 | 如 3K / 4K → 400 |
size 取值不支持 | 既不是 1K / 1.5K / 2K / auto,也不是支持的宽高比或合法像素值 → 400 |
| 精确像素总像素越界 | 须在 [921600, 4624220] |
| 精确像素宽高比越界 | 须在 [1/16, 16] |
n > 1 / 组图参数 | 单图模型,拒绝 |
| 参考图超过 10 张 | 拒绝 |
| 图层拆分未传图或传入多张图 | 必须恰好传入 1 张图 |
| 图层拆分使用比例或精确像素 | size 仅支持 1K / 1.5K / 2K / auto |
| 透明背景用于文生图或多图 | 必须恰好传入 1 张带透明通道的图片 |
| 透明背景与 JPEG 同时使用 | 设置 output_format: "png" |
stream / tools | 本模型不支持,直接返回 400 |
| 提示词优化模式非法 | 仅支持 standard |
⏱️ 生成较慢:1K 约 90 秒、2K 约 160 秒(质量优先)。提交后每 5~10 秒轮询一次 获取任务状态,客户端超时建议 5 分钟。请及时保存生成结果。
Response
integer
响应状态码
⌘I