图像风格化

描述

本接口用于按照指定配方模板对输入图片进行风格化处理。配方 ID 属于动态业务配置,需联系商务获取后替换到 task 路径中。

版本

1.0

图片要求

  • 支持 JPG、PNG 格式。

调用 URL

    正式环境:https://openapi.meitu.com
    任务提交接口:https://openapi.meitu.com/api/v1/sdk/sync/push
    任务名称(task):/v1/image_style/default/{formula_id}
    任务类型(task_type):formula

{formula_id} 是配方 ID 占位符,必须替换为商务提供的实际配方 ID。本文不提供可直接调用的配方 ID;未替换占位符的示例不能用于线上请求。

调用方法

POST

Content-Type: application/json

权限

开放平台接口签名

请求参数

是否必选参数名类型参数说明
必选paramsstring算法参数(JSON 字符串)
必选init_imagesobject[]图片文件列表
必选taskstring动态路径 /v1/image_style/default/{formula_id};将 {formula_id} 替换为商务提供的配方 ID
必选task_typestring固定 formula
可选sync_timeoutint默认 30;-1 表示不等待。同步等待超时后,返回状态 9,需使用查询接口获取结果

init_images 多媒体文件参数,结构说明如下

是否必选参数名类型参数说明
必选urlstring图片 URL 或 base64
必选profileobject属性信息描述

profile 属性信息描述

是否必选参数名类型参数说明
必选media_profilesobject媒体属性信息
必选versionstring固定 v1

media_profiles 媒体属性信息

是否必选参数名类型参数说明
必选media_data_typestringurl 表示 URL;jpg 表示 JPG 图片的 base64

params 推理参数是 JSON 字符串,其结构说明如下

是否必选字段类型说明
可选rsp_media_typestring默认 urljpg 表示结果图片以 base64 返回,url 表示结果图片以 URL 返回
必选parameterobject算法核心参数对象

parameter 算法参数详情

是否必选参数名类型参数说明
可选promptstring正向提示词;可用 (prompt:weight) 控制文本权重,使用 <lora:model:weight> 配置 LoRA 模型及权重。可用风格模型通过相关接口获取。示例:girl,(cartoon:1.1),<lora:074594b2d60230282482d176d28c7c2e_1.0:0.8>
可选seedint随机数种子,默认 -1;取正数时生成内容相对稳定,-1 时具有随机差异
可选widthint宽度,默认 1024;可用尺寸通过相关接口获取
可选heightint高度,默认 1024;可用尺寸通过相关接口获取
可选resize_modeint画面缩放方式:1 自动缩放,2 拉伸,3 裁剪;默认裁剪
可选negative_promptstring负向提示词
可选enable_image_face_detectbool是否启用人脸检测拦截
可选stepsint采样步骤,默认 50
可选denoising_strengthfloat64重绘幅度,范围 [0,1],步进 0.01,默认 0.8
可选cfg_scalefloat64提示词相关性,范围 [1,20],步进 0.5,默认 5
可选face_generation_scalefloat64人脸相似度,范围 01.0,默认 0.3;传负值(如 -1)关闭
可选batch_sizeint生成图片批次,默认 1
可选sample_numint生成图片数量,默认 4,范围 14
可选adetailer_faceint面部修复插件:1 开启,2 关闭;默认开启

输入值示例

以下示例中的 {formula_id} 必须替换为商务提供的实际配方 ID。

{
  "task": "/v1/image_style/default/{formula_id}",
  "task_type": "formula",
  "init_images": [
    {
      "url": "https://example.com/input.jpg",
      "profile": {
        "media_profiles": {
          "media_data_type": "url"
        },
        "version": "v1"
      }
    }
  ],
  "params": "{\"rsp_media_type\":\"url\",\"parameter\":{\"prompt\":\"girl,(cartoon:1.1)\",\"seed\":-1,\"width\":1024,\"height\":1024,\"resize_mode\":3,\"negative_prompt\":\"\",\"enable_image_face_detect\":false,\"steps\":50,\"denoising_strength\":0.8,\"cfg_scale\":5,\"face_generation_scale\":0.3,\"batch_size\":1,\"sample_num\":4,\"adetailer_face\":1}}",
  "sync_timeout": 30
}

返回值说明

注意,生成的结果图会定期清理,请及时下载保存
字段类型说明
request_idstring请求标识
trace_idstring链路追踪标识
codeint业务状态码,0 表示请求受理成功
error_codeint错误码,成功时为 0
messagestring业务信息
tipsany补充提示,可为 null
dataobject任务状态和算法结果

data 字段说明

字段类型说明
statusint状态码:-1 未找到任务;0 创建成功;1 执行中;2 失败;9 超时,使用查询接口查询;10 成功
resultobject算法结果
progressnumber任务进度,例如 0.10.851
predict_elapsedint预计耗时,毫秒
create_timeint64创建时间戳,毫秒
task_idstring任务 ID
custom_task_idstring客户自定义任务 ID
trace_idstring链路追踪标识
client_infostring客户端信息
init_imagesobject[]/null输入媒体回显

result 字段说明

字段类型说明
idstring任务 ID
urlsstring[]结果图片地址列表

返回值示例

请求成功返回示例

{
  "request_id": "req_1234567890",
  "trace_id": "trace_1234567890",
  "code": 0,
  "error_code": 0,
  "message": "success",
  "tips": null,
  "data": {
    "status": 10,
    "result": {
      "id": "50309bd5-a827-4125-bc96-62039c93770b",
      "urls": ["https://example.com/result.png"]
    },
    "progress": 1,
    "predict_elapsed": 0,
    "create_time": 1718172000000,
    "task_id": "50309bd5-a827-4125-bc96-62039c93770b",
    "custom_task_id": "",
    "trace_id": "trace_1234567890",
    "client_info": "",
    "init_images": null
  }
}

需要查询返回示例

当返回状态为 9 时,使用查询接口获取结果。

{
  "request_id": "req_1234567890",
  "trace_id": "trace_1234567890",
  "code": 0,
  "error_code": 0,
  "message": "success",
  "tips": null,
  "data": {
    "status": 9,
    "result": {
      "id": "task_1234567890"
    },
    "progress": 0,
    "predict_elapsed": 10000,
    "create_time": 1718172000000,
    "task_id": "task_1234567890",
    "custom_task_id": "",
    "trace_id": "trace_1234567890",
    "client_info": "",
    "init_images": null
  }
}

请求失败返回示例

{
  "request_id": "req_1234567890",
  "trace_id": "trace_1234567890",
  "code": 20001,
  "error_code": 20001,
  "message": "PROCESS_ERROR",
  "tips": null,
  "data": {
    "status": 2,
    "result": {
      "id": "task_1234567890"
    },
    "progress": 0,
    "predict_elapsed": 0,
    "create_time": 1718172000000,
    "task_id": "task_1234567890",
    "custom_task_id": "",
    "trace_id": "trace_1234567890",
    "client_info": "",
    "init_images": null
  }
}

当前 API 特有的错误代码与信息

ErrorCode 状态代码错误信息说明
20001PROCESS_ERROR处理错误

通用的错误代码与信息

详见 API 错误码

SDK 调用示例

以下 SDK 示例均需先将 formula_id 替换为商务提供的实际配方 ID。

Python

import json

import requests
from sign_sdk import sign

def api_call_example():
    key = "your_api_key"
    secret = "your_api_secret"
    formula_id = "your_formula_id"
    url = "https://openapi.meitu.com/api/v1/sdk/sync/push"
    method = "POST"

    headers = {
        "Content-Type": "application/json",
        sign.HeaderHost: "openapi.meitu.com",
    }
    inner_params = {
        "rsp_media_type": "url",
        "parameter": {
            "prompt": "girl,(cartoon:1.1)",
            "seed": -1,
            "width": 1024,
            "height": 1024,
            "resize_mode": 3,
            "negative_prompt": "",
            "enable_image_face_detect": False,
            "steps": 50,
            "denoising_strength": 0.8,
            "cfg_scale": 5,
            "face_generation_scale": 0.3,
            "batch_size": 1,
            "sample_num": 4,
            "adetailer_face": 1,
        },
    }
    payload = {
        "task": f"/v1/image_style/default/{formula_id}",
        "task_type": "formula",
        "init_images": [
            {
                "url": "https://example.com/input.jpg",
                "profile": {
                    "media_profiles": {"media_data_type": "url"},
                    "version": "v1",
                },
            }
        ],
        "params": json.dumps(inner_params, ensure_ascii=False),
        "sync_timeout": 30,
    }
    body = json.dumps(payload, ensure_ascii=False)

    signer = sign.Signer(key, secret)
    signed_request = signer.sign(url, method, headers, body)
    response = requests.Session().send(signed_request)
    print(f"Status: {response.status_code}")
    print(f"Response: {response.text}")

if __name__ == "__main__":
    api_call_example()

Go

package main

import (
	"fmt"
	"io"
	"net/http"

	"github.com/mtlab/api/signer"
)

func main() {
	key := "your_api_key"
	secret := "your_api_secret"
	formulaID := "your_formula_id"
	signObj := signer.NewSigner(key, secret)

	url := "https://openapi.meitu.com/api/v1/sdk/sync/push"
	method := http.MethodPost
	headers := make(http.Header)
	headers.Set(signer.HeaderHost, "openapi.meitu.com")
	headers.Set("Content-Type", "application/json")

	body := fmt.Sprintf(`{
  "task": "/v1/image_style/default/%s",
  "task_type": "formula",
  "init_images": [{
    "url": "https://example.com/input.jpg",
    "profile": {
      "media_profiles": {"media_data_type": "url"},
      "version": "v1"
    }
  }],
  "params": "{\"rsp_media_type\":\"url\",\"parameter\":{\"prompt\":\"girl,(cartoon:1.1)\",\"seed\":-1,\"width\":1024,\"height\":1024,\"resize_mode\":3,\"negative_prompt\":\"\",\"enable_image_face_detect\":false,\"steps\":50,\"denoising_strength\":0.8,\"cfg_scale\":5,\"face_generation_scale\":0.3,\"batch_size\":1,\"sample_num\":4,\"adetailer_face\":1}}",
  "sync_timeout": 30
}`, formulaID)

	req, err := signObj.Sign(url, method, headers, body)
	if err != nil {
		fmt.Println("Failed to sign request:", err)
		return
	}
	resp, err := http.DefaultClient.Do(req)
	if err != nil {
		fmt.Println("Failed to send request:", err)
		return
	}
	defer resp.Body.Close()

	responseBody, err := io.ReadAll(resp.Body)
	if err != nil {
		fmt.Println("Read response failed:", err)
		return
	}
	fmt.Println("Response:", resp.StatusCode, string(responseBody))
}

PHP

<?php
require 'signer.php';

$key = 'your_api_key';
$secret = 'your_api_secret';
$formulaId = 'your_formula_id';
$signer = new Signer($key, $secret);

$url = 'https://openapi.meitu.com/api/v1/sdk/sync/push';
$method = 'POST';
$headers = ['Content-Type' => 'application/json'];

$innerParams = json_encode([
    'rsp_media_type' => 'url',
    'parameter' => [
        'prompt' => 'girl,(cartoon:1.1)',
        'seed' => -1,
        'width' => 1024,
        'height' => 1024,
        'resize_mode' => 3,
        'negative_prompt' => '',
        'enable_image_face_detect' => false,
        'steps' => 50,
        'denoising_strength' => 0.8,
        'cfg_scale' => 5,
        'face_generation_scale' => 0.3,
        'batch_size' => 1,
        'sample_num' => 4,
        'adetailer_face' => 1,
    ],
]);

$body = json_encode([
    'task' => "/v1/image_style/default/{$formulaId}",
    'task_type' => 'formula',
    'init_images' => [
        [
            'url' => 'https://example.com/input.jpg',
            'profile' => [
                'media_profiles' => ['media_data_type' => 'url'],
                'version' => 'v1',
            ],
        ],
    ],
    'params' => $innerParams,
    'sync_timeout' => 30,
]);

$curl = $signer->sign($url, $method, $headers, $body);
$response = curl_exec($curl);
$status = curl_getinfo($curl, CURLINFO_HTTP_CODE);

if ($status === 0) {
    echo 'Error: ' . curl_error($curl);
} else {
    echo "Status: {$status}\n";
    echo "Response: {$response}\n";
}
curl_close($curl);
?>

Java

package com.meitu.openai.common;

import java.io.BufferedReader;
import java.io.InputStream;
import java.io.InputStreamReader;
import java.net.HttpURLConnection;
import java.net.URL;
import java.nio.charset.StandardCharsets;
import java.util.HashMap;
import java.util.Map;

public class Main {
    public static void main(String[] args) throws Exception {
        Signer signer = new Signer("your_api_key", "your_api_secret");
        String formulaId = "your_formula_id";
        String url = "https://openapi.meitu.com/api/v1/sdk/sync/push";
        String method = "POST";

        Map<String, String> headers = new HashMap<>();
        headers.put("Content-Type", "application/json");
        headers.put(Signer.HeaderHost, "openapi.meitu.com");

        String body = "{\n" +
                "  \"task\": \"/v1/image_style/default/" + formulaId + "\",\n" +
                "  \"task_type\": \"formula\",\n" +
                "  \"init_images\": [{\n" +
                "    \"url\": \"https://example.com/input.jpg\",\n" +
                "    \"profile\": {\n" +
                "      \"media_profiles\": {\"media_data_type\": \"url\"},\n" +
                "      \"version\": \"v1\"\n" +
                "    }\n" +
                "  }],\n" +
                "  \"params\": \"{\\\"rsp_media_type\\\":\\\"url\\\",\\\"parameter\\\":{\\\"prompt\\\":\\\"girl,(cartoon:1.1)\\\",\\\"seed\\\":-1,\\\"width\\\":1024,\\\"height\\\":1024,\\\"resize_mode\\\":3,\\\"negative_prompt\\\":\\\"\\\",\\\"enable_image_face_detect\\\":false,\\\"steps\\\":50,\\\"denoising_strength\\\":0.8,\\\"cfg_scale\\\":5,\\\"face_generation_scale\\\":0.3,\\\"batch_size\\\":1,\\\"sample_num\\\":4,\\\"adetailer_face\\\":1}}\",\n" +
                "  \"sync_timeout\": 30\n" +
                "}";

        Map<String, String> signedHeaders = signer.sign(url, method, headers, body);
        HttpURLConnection connection = (HttpURLConnection) new URL(url).openConnection();
        connection.setRequestMethod(method);
        for (Map.Entry<String, String> entry : signedHeaders.entrySet()) {
            connection.setRequestProperty(entry.getKey(), entry.getValue());
        }
        connection.setDoOutput(true);
        connection.getOutputStream().write(body.getBytes(StandardCharsets.UTF_8));

        int status = connection.getResponseCode();
        InputStream stream = status >= 400
                ? connection.getErrorStream()
                : connection.getInputStream();
        try (BufferedReader reader = new BufferedReader(new InputStreamReader(stream))) {
            StringBuilder response = new StringBuilder();
            String line;
            while ((line = reader.readLine()) != null) {
                response.append(line);
            }
            System.out.println("Response: " + status + " " + response);
        }
    }
}