<properties>
    <java.version>17</java.version>
    <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
    <project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
    <spring-boot.version>3.2.0</spring-boot.version>
    <spring-ai.version>1.0.0</spring-ai.version>
    <spring-ai-alibaba.version>1.0.0.2</spring-ai-alibaba.version>
</properties>
<dependencies>
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter</artifactId>
    </dependency>
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-web</artifactId>
    </dependency>
    <dependency>
        <groupId>org.springframework.ai</groupId>
        <artifactId>spring-ai-starter-model-deepseek</artifactId>
        <version>1.0.0</version>
    </dependency>
    <!-- 阿里云通义千问（DashScope）starter -->
    <dependency>
        <groupId>com.alibaba.cloud.ai</groupId>
        <artifactId>spring-ai-alibaba-starter-dashscope</artifactId>
    </dependency>
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-test</artifactId>
        <scope>test</scope>
    </dependency>
</dependencies>
<dependencyManagement>
    <dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-dependencies</artifactId>
            <version>${spring-boot.version}</version>
            <type>pom</type>
            <scope>import</scope>
        </dependency>
    <!-- 统一管理Spring AI依赖版本 -->
        <dependency>
            <groupId>org.springframework.ai</groupId>
            <artifactId>spring-ai-bom</artifactId>
            <version>${spring-ai.version}</version>
            <type>pom</type>
            <scope>import</scope>
        </dependency>
        <dependency>
            <groupId>com.alibaba.cloud.ai</groupId>
            <artifactId>spring-ai-alibaba-bom</artifactId>
            <version>${spring-ai-alibaba.version}</version>
            <type>pom</type>
            <scope>import</scope>
        </dependency>
    </dependencies>
</dependencyManagement>

server:
  port: 8082
spring:
  application:
    name: deepseek
        # ========== 阿里云通义千问（DashScope）配置 ==========
        #spring.ai.dashscope.api-key=${ALI_AI_KEY}
        # spring.ai.dashscope.chat.options.model= 可指定模型，如 qwen-max、qwen-plus 等
    dashscope:
      api-key: "keykey"
      #chat:
      #  options:
      #    model:

注:api-key  请用自己的key

mport com.alibaba.cloud.ai.dashscope.image.DashScopeImageModel;
import com.alibaba.cloud.ai.dashscope.image.DashScopeImageOptions;
import org.springframework.ai.image.ImagePrompt;
import org.springframework.ai.image.ImageResponse;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Controller;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.ResponseBody;
import static org.stringtemplate.v4.compiler.Bytecode.instructions;
@RequestMapping("/openai")
@ResponseBody
@Controller
public class QwenImgChatController {
    @Autowired
    DashScopeImageModel imageModel;
    @GetMapping("/simple/img")
    public String  simpleImg () {
        DashScopeImageOptions imageOptions =
                DashScopeImageOptions.builder()
                        .withModel("wanx2.1-t2i-turbo") // 模型名称
                        .withN(1)                       // 生成1张图
                        .build();
        // 2. 构建提示词 + 调用模型
        // 你原来的语法错误我已经修复：instructions 是字符串，参数顺序正确
        ImagePrompt imagePrompt = new ImagePrompt("-大美林芝", imageOptions);
        ImageResponse imageResponse = imageModel.call(imagePrompt);
        String imageUrl = imageResponse.getResult().getOutput().getUrl();
        //图片un
        // 4. 输出并返回
        System.out.println("生成的图片地址：" + imageUrl);
        return "生成成功！图片地址：" + imageUrl;
    }
}

4、浏览器
http://localhost:8082/openai/simple/img