一、百度智能云人体试穿API #

• 适配要求：
  • 现成托管API服务，无需自行训练或部署模型
  • 仅需上传人物全身正面照和服装图片作为输入
  • 提供标准HTTP REST接口
  • Java后端可通过OkHttp、HttpURLConnection等主流HTTP工具调用

Java调用示例（OkHttp实现） #

import okhttp3.MediaType;
import okhttp3.MultipartBody;
import okhttp3.OkHttpClient;
import okhttp3.Request;
import okhttp3.RequestBody;
import okhttp3.Response;
import java.io.File;
import java.io.IOException;

public class BaiduTryOnClient {
    public static void main(String[] args) throws IOException {
        OkHttpClient client = new OkHttpClient();
        
        // 替换为实际的图片文件路径
        File personImage = new File("/local/path/to/person_full.jpg");
        File clothesImage = new File("/local/path/to/clothes.jpg");
        
        RequestBody requestBody = new MultipartBody.Builder()
                .setType(MultipartBody.FORM)
                .addFormDataPart("person_image", personImage.getName(),
                        RequestBody.create(MediaType.parse("image/jpeg"), personImage))
                .addFormDataPart("clothes_image", clothesImage.getName(),
                        RequestBody.create(MediaType.parse("image/jpeg"), clothesImage))
                .addFormDataPart("api_key", "你的百度云API密钥")
                .addFormDataPart("secret_key", "你的百度云Secret密钥")
                .build();
        
        Request request = new Request.Builder()
                .url("https://aip.baidubce.com/rest/2.0/image-process/v1/tryon")
                .post(requestBody)
                .build();
        
        try (Response response = client.newCall(request).execute()) {
            if (!response.isSuccessful()) throw new IOException("请求失败: " + response);
            System.out.println("试穿结果响应: " + response.body().string());
        }
    }
}

二、阿里云视觉智能开放平台虚拟试穿API #

• 适配要求：
  • 现成托管服务，模型已完成优化部署
  • 支持人物图片（全身照）+服装图片作为输入
  • 提供RESTful API接口，同时支持官方Java SDK简化调用
  • 完全兼容Java原生后端开发

Java调用示例（官方SDK实现） #

import com.aliyun.teaopenapi.models.Config;
import com.aliyun.visionaiip.VisionaiipClient;
import com.aliyun.visionaiip.models.TryOnClothesRequest;
import com.aliyun.visionaiip.models.TryOnClothesResponse;

public class AliyunTryOnClient {
    public static void main(String[] args) throws Exception {
        // 初始化配置，替换为你的阿里云AccessKey
        Config config = new Config()
                .setAccessKeyId("你的AccessKeyId")
                .setAccessKeySecret("你的AccessKeySecret")
                .setEndpoint("visionaiip.cn-shanghai.aliyuncs.com");
        
        VisionaiipClient client = new VisionaiipClient(config);
        
        TryOnClothesRequest request = new TryOnClothesRequest()
                .setPersonImageUrl("https://your-domain.com/person.jpg") // 支持公网URL或本地文件上传
                .setClothesImageUrl("https://your-domain.com/clothes.jpg");
        
        TryOnClothesResponse response = client.tryOnClothes(request);
        System.out.println("试穿结果图片URL: " + response.getBody().getData().getResultImageUrl());
    }
}

三、字节跳动火山引擎虚拟试穿API #

• 适配要求：
  • 现成API服务，无需自建模型或硬件资源
  • 仅需人物全身照和服装图片作为输入
  • 提供标准HTTP REST接口
  • Java后端可通过原生HttpURLConnection或第三方HTTP库调用

Java调用示例（原生HttpURLConnection实现） #

import java.io.*;
import java.net.HttpURLConnection;
import java.net.URL;
import java.nio.charset.StandardCharsets;

public class VolcEngineTryOnClient {
    public static void main(String[] args) throws IOException {
        String apiEndpoint = "https://open.volcengineapi.com/api/v1/tryon";
        URL url = new URL(apiEndpoint);
        HttpURLConnection conn = (HttpURLConnection) url.openConnection();
        conn.setRequestMethod("POST");
        conn.setDoOutput(true);
        String boundary = "----WebKitFormBoundary7MA4YWxkTrZu0gW";
        conn.setRequestProperty("Content-Type", "multipart/form-data; boundary=" + boundary);
        
        OutputStream os = conn.getOutputStream();
        PrintWriter writer = new PrintWriter(new OutputStreamWriter(os, StandardCharsets.UTF_8), true);
        
        // 写入人物图片
        writer.append("--" + boundary).append("\r\n");
        writer.append("Content-Disposition: form-data; name=\"person_image\"; filename=\"person.jpg\"").append("\r\n");
        writer.append("Content-Type: image/jpeg").append("\r\n").append("\r\n");
        writer.flush();
        try (FileInputStream fis = new FileInputStream("/local/path/to/person.jpg")) {
            byte[] buffer = new byte[4096];
            int bytesRead;
            while ((bytesRead = fis.read(buffer)) != -1) {
                os.write(buffer, 0, bytesRead);
            }
        }
        os.flush();
        writer.append("\r\n");
        
        // 写入服装图片
        writer.append("--" + boundary).append("\r\n");
        writer.append("Content-Disposition: form-data; name=\"clothes_image\"; filename=\"clothes.jpg\"").append("\r\n");
        writer.append("Content-Type: image/jpeg").append("\r\n").append("\r\n");
        writer.flush();
        try (FileInputStream fis = new FileInputStream("/local/path/to/clothes.jpg")) {
            byte[] buffer = new byte[4096];
            int bytesRead;
            while ((bytesRead = fis.read(buffer)) != -1) {
                os.write(buffer, 0, bytesRead);
            }
        }
        os.flush();
        writer.append("\r\n");
        
        // 写入认证信息
        writer.append("--" + boundary).append("\r\n");
        writer.append("Content-Disposition: form-data; name=\"access_key\"").append("\r\n").append("\r\n");
        writer.append("你的火山引擎AccessKey").append("\r\n");
        writer.append("--" + boundary + "--").append("\r\n");
        writer.flush();
        
        // 读取响应
        try (BufferedReader br = new BufferedReader(new InputStreamReader(conn.getInputStream(), StandardCharsets.UTF_8))) {
            String line;
            StringBuilder response = new StringBuilder();
            while ((line = br.readLine()) != null) {
                response.append(line);
            }
            System.out.println("试穿结果响应: " + response.toString());
        }
        conn.disconnect();
    }
}

关键注意事项 #

• 所有API均需先在对应平台注册账号，获取API密钥/AccessKey，多数平台提供免费学术测试额度
• 输入图片需符合要求：人物为全身正面无遮挡照，服装图片清晰、无复杂背景，以保证试穿效果
• Java后端可根据业务需求，将示例中的本地文件读取逻辑改为接收移动端上传的图片流

内容的提问来源于stack exchange，提问作者Yassine