diff --git a/modules/impact/config.py b/modules/impact/config.py
index e366a86..7a4c005 100644
--- a/modules/impact/config.py
+++ b/modules/impact/config.py
@@ -1,7 +1,7 @@
 import configparser
 import os
 
-version_code = [8, 8, 3]
+version_code = [8, 8, 4]
 version = f"V{version_code[0]}.{version_code[1]}" + (f'.{version_code[2]}' if len(version_code) > 2 else '')
 
 dependency_version = 24
diff --git a/modules/impact/impact_pack.py b/modules/impact/impact_pack.py
index b9759b4..fac03f1 100644
--- a/modules/impact/impact_pack.py
+++ b/modules/impact/impact_pack.py
@@ -96,9 +96,13 @@ class SAMLoader:
     @classmethod
     def INPUT_TYPES(cls):
         models = [x for x in folder_paths.get_filename_list("sams") if 'hq' not in x]
+
+        if 'ESAM_ModelLoader_Zho' in nodes.NODE_CLASS_MAPPINGS:
+            models.append('ESAM')
+
         return {
             "required": {
-                "model_name": (models + ['ESAM'], {"tooltip": "The detection accuracy varies depending on the SAM model. ESAM can only be used if ComfyUI-YoloWorld-EfficientSAM is installed."}),
+                "model_name": (models, {"tooltip": "The detection accuracy varies depending on the SAM model. ESAM can only be used if ComfyUI-YoloWorld-EfficientSAM is installed."}),
                 "device_mode": (["AUTO", "Prefer GPU", "CPU"], {"tooltip": "AUTO: Only applicable when a GPU is available. It temporarily loads the SAM_MODEL into VRAM only when the detection function is used.\n"
                                                                            "Prefer GPU: Tries to keep the SAM_MODEL on the GPU whenever possible. This can be used when there is sufficient VRAM available.\n"
                                                                            "CPU: Always loads only on the CPU."}),
diff --git a/pyproject.toml b/pyproject.toml
index c0121c4..02fc13b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,7 +1,7 @@
 [project]
 name = "comfyui-impact-pack"
 description = "This node pack offers various detector nodes and detailer nodes that allow you to configure a workflow that automatically enhances facial details. And provide iterative upscaler."
-version = "8.8.3"
+version = "8.8.4"
 license = { file = "LICENSE.txt" }
 dependencies = ["segment-anything", "scikit-image", "piexif", "transformers", "opencv-python-headless", "GitPython", "scipy>=1.11.4"]