diff --git a/AI/WxMini/Test/T1_GenerateTuPian.py b/AI/WxMini/Test/T1_GenerateTuPian.py
index fba6c4da..986e2c9f 100644
--- a/AI/WxMini/Test/T1_GenerateTuPian.py
+++ b/AI/WxMini/Test/T1_GenerateTuPian.py
@@ -1,44 +1,8 @@
-from http import HTTPStatus
-from urllib.parse import urlparse, unquote
-from pathlib import PurePosixPath
-from dashscope import ImageSynthesis
-from WxMini.Milvus.Config.MulvusConfig import *
-
-def generate_image(prompt, model="wanx2.1-t2i-turbo", n=1, size='1024*1024'):
-    """
-    根据提示词生成图片
-    :param prompt: 提示词
-    :param model: 使用的模型，默认为 "wanx2.1-t2i-turbo"
-    :param n: 生成图片的数量，默认为 1
-    :param size: 图片尺寸，默认为 '1024*1024'
-    :return: (success, message) success 为 True 表示成功，False 表示失败；message 为提示信息
-    """
-    try:
-        print('----同步调用，请稍等----')
-        rsp = ImageSynthesis.call(api_key=MODEL_API_KEY, model=model, prompt=prompt, n=n, size=size)
-        print('response: %s' % rsp)
-
-        if rsp.status_code == HTTPStatus.OK:
-            # 在当前目录下保存图片
-            for result in rsp.output.results:
-                file_name = PurePosixPath(unquote(urlparse(result.url).path)).parts[-1]
-                print(f"图片已生成，文件名: {file_name}")
-            return True, "图片生成成功"
-        else:
-            # 生成失败，返回错误信息
-            error_message = f"同步调用失败，状态码: {rsp.status_code}, 错误码: {rsp.code}, 错误信息: {rsp.message}"
-            print(error_message)
-            return False, error_message
-    except Exception as e:
-        # 捕获异常，返回错误信息
-        error_message = f"生成图片时发生异常: {str(e)}"
-        print(error_message)
-        return False, error_message
-
+from WxMini.Utils.ImageUtil import generate_image
 
 # 示例调用
 if __name__ == '__main__':
-    prompt = "哪吒闹海"
+    prompt = "武松打虎"
     success, message = generate_image(prompt)
     if not success:
-        print(f"生成失败: {message}")
\ No newline at end of file
+        print(f"生成失败: {message}")
diff --git a/AI/WxMini/Utils/ImageUtil.py b/AI/WxMini/Utils/ImageUtil.py
index 6d23b304..5eb10090 100644
--- a/AI/WxMini/Utils/ImageUtil.py
+++ b/AI/WxMini/Utils/ImageUtil.py
@@ -1,4 +1,51 @@
+from http import HTTPStatus
+from urllib.parse import urlparse, unquote
+from pathlib import PurePosixPath
+
 import requests
+from dashscope import ImageSynthesis
+import oss2
+from WxMini.Milvus.Config.MulvusConfig import *
+
+
+
+def generate_image(prompt, model="wanx2.1-t2i-turbo", n=1, size='1024*1024'):
+    # 初始化 OSS 客户端
+    auth = oss2.Auth(ACCESS_KEY_ID, ACCESS_KEY_SECRET)
+    bucket = oss2.Bucket(auth, ENDPOINT, BUCKET_NAME)
+    """
+    根据提示词生成图片并直接上传到 OSS
+    :param prompt: 提示词
+    :param model: 使用的模型，默认为 "wanx2.1-t2i-turbo"
+    :param n: 生成图片的数量，默认为 1
+    :param size: 图片尺寸，默认为 '1024*1024'
+    :return: (success, message) success 为 True 表示成功，False 表示失败；message 为提示信息
+    """
+    try:
+        rsp = ImageSynthesis.call(api_key=MODEL_API_KEY, model=model, prompt=prompt, n=n, size=size)
+        if rsp.status_code == HTTPStatus.OK:
+            # 遍历生成的图片
+            for result in rsp.output.results:
+                # 获取图片 URL
+                image_url = result.url
+                # 下载图片数据
+                image_data = requests.get(image_url).content
+                # 生成 OSS 文件名
+                file_name = PurePosixPath(unquote(urlparse(image_url).path)).parts[-1]
+                # 上传到 OSS
+                bucket.put_object('Upload/' + file_name, image_data)
+                print(f"图片已上传到 OSS，文件名: Upload/{file_name}")
+            return True, "图片生成并上传成功"
+        else:
+            # 生成失败，返回错误信息
+            error_message = f"同步调用失败，状态码: {rsp.status_code}, 错误码: {rsp.code}, 错误信息: {rsp.message}"
+            print(error_message)
+            return False, error_message
+    except Exception as e:
+        # 捕获异常，返回错误信息
+        error_message = f"生成图片时发生异常: {str(e)}"
+        print(error_message)
+        return False, error_message
 
 
 # 获取图片的宽高
diff --git a/AI/WxMini/Utils/__pycache__/ImageUtil.cpython-310.pyc b/AI/WxMini/Utils/__pycache__/ImageUtil.cpython-310.pyc
index ab06ac10..acc5e99d 100644
Binary files a/AI/WxMini/Utils/__pycache__/ImageUtil.cpython-310.pyc and b/AI/WxMini/Utils/__pycache__/ImageUtil.cpython-310.pyc differ