diff --git a/extensions-builtin/forge_preprocessor_clipvision/scripts/preprocessor_clipvision.py b/extensions-builtin/forge_preprocessor_clipvision/scripts/preprocessor_clipvision.py
index 09befc12..179fedec 100644
--- a/extensions-builtin/forge_preprocessor_clipvision/scripts/preprocessor_clipvision.py
+++ b/extensions-builtin/forge_preprocessor_clipvision/scripts/preprocessor_clipvision.py
@@ -1,52 +1,33 @@
-from modules_forge.supported_preprocessor import Preprocessor, PreprocessorParameter
-from modules_forge.shared import preprocessor_dir, add_supported_preprocessor
-from modules.modelloader import load_file_from_url
+from modules_forge.supported_preprocessor import PreprocessorClipVision
+from modules_forge.shared import add_supported_preprocessor
 from modules_forge.forge_util import numpy_to_pytorch
 
-import ldm_patched.modules.clip_vision
 
-
-class PreprocessorClipVision(Preprocessor):
+class PreprocessorClipVisionForIPAdapter(PreprocessorClipVision):
     def __init__(self, name, url, filename):
-        super().__init__()
-        self.name = name
-        self.url = url
-        self.filename = filename
+        super().__init__(name, url, filename)
         self.tags = ['IP-Adapter']
         self.model_filename_filters = ['IP-Adapter', 'IP_Adapter']
-        self.slider_resolution = PreprocessorParameter(visible=False)
-        self.corp_image_with_a1111_mask_when_in_img2img_inpaint_tab = False
-        self.show_control_mode = False
-        self.sorting_priority = 1
-        self.clipvision = None
 
     def __call__(self, input_image, resolution, slider_1=None, slider_2=None, slider_3=None, **kwargs):
-        if self.clipvision is None:
-            ckpt_path = load_file_from_url(
-                url=self.url,
-                model_dir=preprocessor_dir,
-                file_name=self.filename
-            )
-            self.clipvision = ldm_patched.modules.clip_vision.load(ckpt_path)
-
-        # For IPAdapter Format
-        return self.clipvision, numpy_to_pytorch(input_image)
+        clipvision = self.load_clipvision()
+        return clipvision, numpy_to_pytorch(input_image)
 
 
-add_supported_preprocessor(PreprocessorClipVision(
-    name='CLIP-ViT-H',
+add_supported_preprocessor(PreprocessorClipVisionForIPAdapter(
+    name='CLIP-ViT-H (IPAdapter)',
     url='https://huggingface.co/h94/IP-Adapter/resolve/main/models/image_encoder/model.safetensors',
     filename='CLIP-ViT-H-14.safetensors'
 ))
 
-add_supported_preprocessor(PreprocessorClipVision(
-    name='CLIP-ViT-bigG',
+add_supported_preprocessor(PreprocessorClipVisionForIPAdapter(
+    name='CLIP-ViT-bigG (IPAdapter)',
     url='https://huggingface.co/h94/IP-Adapter/resolve/main/models/image_encoder/model.safetensors',
     filename='CLIP-ViT-bigG.safetensors'
 ))
 
-add_supported_preprocessor(PreprocessorClipVision(
-    name='CLIP-ViT-L',
+add_supported_preprocessor(PreprocessorClipVisionForIPAdapter(
+    name='CLIP-ViT-L (IPAdapter)',
     url='https://huggingface.co/openai/clip-vit-large-patch14/resolve/main/pytorch_model.bin',
     filename='CLIP-ViT-bigG.safetensors'
 ))
diff --git a/modules_forge/supported_preprocessor.py b/modules_forge/supported_preprocessor.py
index 2a0e2fab..ae08847b 100644
--- a/modules_forge/supported_preprocessor.py
+++ b/modules_forge/supported_preprocessor.py
@@ -1,10 +1,13 @@
 import cv2
 import torch
 
-from modules_forge.shared import add_supported_preprocessor
+from modules_forge.shared import add_supported_preprocessor, preprocessor_dir
 from ldm_patched.modules import model_management
 from ldm_patched.modules.model_patcher import ModelPatcher
 from modules_forge.forge_util import resize_image_with_pad
+import ldm_patched.modules.clip_vision
+from modules.modelloader import load_file_from_url
+from modules_forge.forge_util import numpy_to_pytorch
 
 
 class PreprocessorParameter:
@@ -87,4 +90,41 @@ class PreprocessorCanny(Preprocessor):
 
 
 add_supported_preprocessor(PreprocessorNone())
-add_supported_preprocessor(PreprocessorCanny())
\ No newline at end of file
+add_supported_preprocessor(PreprocessorCanny())
+
+
+class PreprocessorClipVision(Preprocessor):
+    global_cache = {}
+
+    def __init__(self, name, url, filename):
+        super().__init__()
+        self.name = name
+        self.url = url
+        self.filename = filename
+        self.slider_resolution = PreprocessorParameter(visible=False)
+        self.corp_image_with_a1111_mask_when_in_img2img_inpaint_tab = False
+        self.show_control_mode = False
+        self.sorting_priority = 1
+        self.clipvision = None
+
+    def load_clipvision(self):
+        if self.clipvision is not None:
+            return self.clipvision
+
+        ckpt_path = load_file_from_url(
+            url=self.url,
+            model_dir=preprocessor_dir,
+            file_name=self.filename
+        )
+
+        if ckpt_path in PreprocessorClipVision.global_cache:
+            self.clipvision = PreprocessorClipVision.global_cache[ckpt_path]
+        else:
+            self.clipvision = ldm_patched.modules.clip_vision.load(ckpt_path)
+            PreprocessorClipVision.global_cache[ckpt_path] = self.clipvision
+
+        return self.clipvision
+
+    def __call__(self, input_image, resolution, slider_1=None, slider_2=None, slider_3=None, **kwargs):
+        clipvision = self.load_clipvision()
+        return clipvision.encode_image(numpy_to_pytorch(input_image))