diff --git a/README.md b/README.md
index 9668fc40..1772819f 100644
--- a/README.md
+++ b/README.md
@@ -52,7 +52,7 @@
 
 - 在线体验： [![SwanHub Demo](https://img.shields.io/static/v1?label=Demo&message=SwanHub%20Demo&color=blue)](https://swanhub.co/ZeYiLin/HivisionIDPhotos/demo)、[![Spaces](https://img.shields.io/badge/🤗-Open%20in%20Spaces-blue)](https://huggingface.co/spaces/TheEeeeLin/HivisionIDPhotos)
 
-- 2024.9.12: 优化 Gradio Demo处理同一张照片时的性能 | API接口增加**加水印**、**设置照片KB值大小**、**证件照裁切**
+- 2024.9.12: API接口增加**加水印**、**设置照片KB值大小**、**证件照裁切**
 - 2024.09.11: Gradio Demo增加**透明图显示与下载**功能
 - 2024.09.10: 增加新的**人脸检测模型** Retinaface-resnet50，以稍弱于mtcnn的速度换取更高的检测精度，推荐使用
 - 2024.09.09: 增加新的**抠图模型** [BiRefNet-v1-lite](https://github.com/ZhengPeng7/BiRefNet) | Gradio增加**高级参数设置**和**水印**选项卡
diff --git a/demo/processor.py b/demo/processor.py
index 0a958648..afc5f819 100644
--- a/demo/processor.py
+++ b/demo/processor.py
@@ -15,10 +15,6 @@
 
 
 class IDPhotoProcessor:
-    def __init__(self):
-        self.crop_only = False
-        self.matting_cache = None
-
     def process(
         self,
         input_image,
@@ -119,46 +115,14 @@ def process(
             idphoto_json["size_mode"] in LOCALES["size_mode"][language]["choices"][1]
         )
 
-        # 如果不是只裁切模式，则清空抠图缓存
-        if not self.crop_only:
-            # print("--清空缓存")
-            self.matting_cache = None
-            self.face_detect_cache = None
-
         try:
-            if self.matting_cache is None:
-                result = creator(
-                    input_image,
-                    change_bg_only=change_bg_only,
-                    size=idphoto_json["size"],
-                    head_measure_ratio=head_measure_ratio,
-                    head_top_range=(top_distance_max, top_distance_min),
-                )
-                self.matting_cache = result.matting
-                self.face_detect_cache = result.face
-            # 如果第一次点了只换底，第二次选了尺寸
-            elif self.matting_cache is not None and self.face_detect_cache is None:
-                result = creator(
-                    self.matting_cache,
-                    change_bg_only=change_bg_only,
-                    size=idphoto_json["size"],
-                    head_measure_ratio=head_measure_ratio,
-                    head_top_range=(top_distance_max, top_distance_min),
-                    crop_only=True,
-                )
-                self.face_detect_cache = result.face
-
-            else:
-                # print("使用缓存")
-                result = creator(
-                    self.matting_cache,
-                    change_bg_only=change_bg_only,
-                    size=idphoto_json["size"],
-                    head_measure_ratio=head_measure_ratio,
-                    head_top_range=(top_distance_max, top_distance_min),
-                    crop_only=True,
-                    face=self.face_detect_cache,
-                )
+            result = creator(
+                input_image,
+                change_bg_only=change_bg_only,
+                size=idphoto_json["size"],
+                head_measure_ratio=head_measure_ratio,
+                head_top_range=(top_distance_max, top_distance_min),
+            )
         except FaceError:
             return [
                 gr.update(value=None),  # img_output_standard
@@ -313,9 +277,6 @@ def process(
             else:
                 output_image_path = None
 
-            # 设置crop_only模式为True，会在Gradio的上传图像组件变化时重新设置为False
-            self.crop_only = True
-
             # 返回结果
             if output_image_path:
                 return [
diff --git a/demo/ui.py b/demo/ui.py
index bf05c0b1..7c50394a 100644
--- a/demo/ui.py
+++ b/demo/ui.py
@@ -42,10 +42,6 @@ def create_ui(
             with gr.Column():
                 img_input = gr.Image(height=400)
 
-                def crop_only_false():
-                    # print("crop_only_false")
-                    processor.crop_only = False
-
                 with gr.Row():
                     # 语言选择器
                     language = ["zh", "en"]
@@ -67,11 +63,6 @@ def crop_only_false():
                         value=human_matting_models[0],
                     )
 
-                    # 重新上传照片、选择人脸检测模型、选择抠图模型时，重置裁切模式
-                    img_input.change(crop_only_false)
-                    face_detect_model_options.change(crop_only_false)
-                    matting_model_options.change(crop_only_false)
-
                 with gr.Tab(
                     LOCALES["key_param"][DEFAULT_LANG]["label"]
                 ) as key_parameter_tab:
diff --git a/hivision/creator/__init__.py b/hivision/creator/__init__.py
index a34fb163..378e1d23 100644
--- a/hivision/creator/__init__.py
+++ b/hivision/creator/__init__.py
@@ -108,11 +108,9 @@ def __call__(
             return ctx.result
 
         # 2. 人脸检测
-        if not ctx.params.face:
-            self.detection_handler(ctx)
-        else:
-            ctx.face = ctx.params.face
+        self.detection_handler(ctx)
         self.after_detect and self.after_detect(ctx)
+
         # 3. 图像调整
         result_image_hd, result_image_standard, clothing_params, typography_params = (
             adjust_photo(ctx)