diff --git a/app/service/generate_image/service_generate_product_image.py b/app/service/generate_image/service_generate_product_image.py
index 12964ae..5ea6f83 100644
--- a/app/service/generate_image/service_generate_product_image.py
+++ b/app/service/generate_image/service_generate_product_image.py
@@ -136,24 +136,39 @@ def infer_cancel(tasks_id):
 
 def pre_processing_image(image_url):
     image = oss_get_image(bucket=image_url.split('/')[0], object_name=image_url[image_url.find('/') + 1:], data_type="PIL")
+    # 原始图片的尺寸
+    width, height = image.size
 
-    # resize 图片内尺寸 并贴到768-512的纯白图像上
-    target_height = 768
-    target_width = 512
-    aspect_ratio = image.width / image.height
-    new_width = int(target_height * aspect_ratio)
-    resized_image = image.resize((new_width, target_height))
-    left = (target_width - resized_image.width) // 2
-    top = (target_height - resized_image.height) // 2
-    right = target_width - resized_image.width - left
-    bottom = target_height - resized_image.height - top
-    image = ImageOps.expand(resized_image, (left, top, right, bottom), fill="white")
-    image_size = image.size
-    if image.mode in ('RGBA', 'LA') or (image.mode == 'P' and 'transparency' in image.info):
+    # 计算长宽比为 3:2 的新尺寸
+    desired_ratio = 2 / 3
+    current_ratio = width / height
+
+    if current_ratio > desired_ratio:
+        # 原始图片更宽，需要在上下添加 padding
+        new_width = width
+        new_height = int(width / desired_ratio)
+    else:
+        # 原始图片更高或者长宽比已经为 3:2
+        new_height = height
+        new_width = int(height * desired_ratio)
+
+    # 创建一个新的画布，大小为添加 padding 后的尺寸，并设置为白色背景
+    pad_image = Image.new('RGBA', (new_width, new_height), (0, 0, 0, 0))
+
+    # 将原始图片粘贴到新的画布中心
+    left = (new_width - width) // 2
+    top = (new_height - height) // 2
+    pad_image.paste(image, (left, top))
+
+    # 将画布 resize 成宽度 500，长度 750
+    resized_image = pad_image.resize((500, 750))
+    image_size = (512, 768)
+
+    if resized_image.mode in ('RGBA', 'LA') or (resized_image.mode == 'P' and 'transparency' in resized_image.info):
         # 创建白色背景
-        background = Image.new("RGB", image.size, (255, 255, 255))
+        background = Image.new("RGB", image_size, (255, 255, 255))
         # 将图片粘贴到白色背景上
-        background.paste(image, mask=image.split()[3])
+        background.paste(resized_image, mask=resized_image.split()[3])
         image = np.array(background)
         image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
     return image, image_size
@@ -162,11 +177,11 @@ def pre_processing_image(image_url):
 if __name__ == '__main__':
     rd = GenerateProductImageModel(
         tasks_id="123-89",
-        prompt="",
+        # prompt="",
         image_strength=0.9,
-        # prompt=" the best quality, masterpiece. detailed, high-res, simple background, studio photography, extremely detailed, updo, detailed face, face, close-up, HDR, UHD, 8K realistic, Highly detailed, simple background, Studio lighting",
+        prompt=" the best quality, masterpiece. detailed, high-res, simple background, studio photography, extremely detailed, updo, detailed face, face, close-up, HDR, UHD, 8K realistic, Highly detailed, simple background, Studio lighting",
         image_url="aida-results/result_00097282-ebb2-11ee-a822-b48351119060.png",
-        product_type="single"
+        product_type="overall"
     )
     server = GenerateProductImage(rd)
     print(server.get_result())