diff --git a/README.MD b/README.MD
index 3d55f42..3580e1e 100644
--- a/README.MD
+++ b/README.MD
@@ -667,8 +667,9 @@ Remove background. compared to the similar background removal nodes, this node h
 
 This node combines the Alpha Matte node of Spacepxl's [ComfyUI-Image-Filters](https://github.com/spacepxl/ComfyUI-Image-Filters) and the functionality of ZHO-ZHO-ZHO's [ComfyUI-BRIA_AI-RMBG](https://github.com/ZHO-ZHO-ZHO/ComfyUI-BRIA_AI-RMBG).
 
-*Download the [BRIA Background Removal v1.4](https://huggingface.co/briaai/RMBG-1.4) model file (model. pth) to the /ComfyUI/models/RMBG-1.4 folder.  
-This model was developed by BRIA AI and can be used as an open-source model for non-commercial purposes.
+*Download the [BRIA Background Removal v1.4](https://huggingface.co/briaai/RMBG-1.4) model file (model. pth) to the /ComfyUI/models/RMBG-1.4 folder. This model was developed by BRIA AI and can be used as an open-source model for non-commercial purposes.    
+**After downloading the model, recommended to add a line 'rmbg: models/RMBG-1.4' in ComfyUI/extra_model_paths.yaml. (This step is not mandatory)    
+
 ![image](image/rembg_ultra_example.png)
 
 Node options:  
diff --git a/README_CN.MD b/README_CN.MD
index 7412834..634a42a 100644
--- a/README_CN.MD
+++ b/README_CN.MD
@@ -653,8 +653,11 @@
 ### <a id="table1">RemBgUltra</a>
 去除背景。与类似的背景移除节点相比，这个节点具有超高的边缘细节。
 本节点结合了spacepxl的[ComfyUI-Image-Filters](https://github.com/spacepxl/ComfyUI-Image-Filters)的Alpha Matte节点，以及ZHO-ZHO-ZHO的[ComfyUI-BRIA_AI-RMBG](https://github.com/ZHO-ZHO-ZHO/ComfyUI-BRIA_AI-RMBG)的功能。
-*将[BRIA Background Removal v1.4](https://huggingface.co/briaai/RMBG-1.4)模型文件(model.pth)下载至/ComfyUI/models/RMBG-1.4文件夹。
-该模型由 BRIA AI 开发，可作为非商业用途的开源模型。
+
+*将[BRIA Background Removal v1.4](https://huggingface.co/briaai/RMBG-1.4)模型文件(model.pth)下载至/ComfyUI/models/RMBG-1.4文件夹。该模型由 BRIA AI 开发，可作为非商业用途的开源模型。    
+
+**下载模型后，建议在ComfyUI/extra_model_paths.yaml中添加一行'rmbg: models/RMBG-1.4'。(此步骤非必须）  
+
 
 ![image](image/rembg_ultra_example.png)
 
diff --git a/py/image_scale_by_aspect_ratio.py b/py/image_scale_by_aspect_ratio.py
index 8401c18..155dea7 100644
--- a/py/image_scale_by_aspect_ratio.py
+++ b/py/image_scale_by_aspect_ratio.py
@@ -11,7 +11,7 @@ class ImageScaleByAspectRatio:
 
     @classmethod
     def INPUT_TYPES(self):
-        ratio_list = ['custom', '1:1', '3:2', '4:3', '16:9', '2:3', '3:4', '9:16']
+        ratio_list = ['original', 'custom', '1:1', '3:2', '4:3', '16:9', '2:3', '3:4', '9:16']
         fit_mode = ['letterbox', 'crop', 'fill']
         method_mode = ['lanczos', 'bicubic', 'hamming', 'bilinear', 'box', 'nearest']
         multiple_list = ['8', '16', 'None']
@@ -75,7 +75,9 @@ class ImageScaleByAspectRatio:
             log(f"Error: {NODE_NAME} skipped, because the image or mask at least one must be input.", message_type='error')
             return (None, None,)
 
-        if aspect_ratio == 'custom':
+        if aspect_ratio == 'original':
+            ratio = orig_width / orig_height
+        elif aspect_ratio == 'custom':
             ratio = proportional_width / proportional_height
         else:
             s = aspect_ratio.split(":")
diff --git a/py/imagefunc.py b/py/imagefunc.py
index 6224dd7..cfdf48b 100644
--- a/py/imagefunc.py
+++ b/py/imagefunc.py
@@ -683,10 +683,18 @@ def load_RMBG_model():
     current_directory = os.path.dirname(os.path.abspath(__file__))
     device = "cuda" if torch.cuda.is_available() else "cpu"
     net = BriaRMBG()
+
     _path = os.path.join("RMBG-1.4", "model.pth")
-    model_path = os.path.join(folder_paths.models_dir, _path)
+    model_path = ""
+    try:
+        model_path = os.path.join(os.path.normpath(folder_paths.folder_names_and_paths['rmbg'][0][0]), "model.pth")
+    except:
+        pass
+    if not os.path.exists(model_path):
+        model_path = os.path.join(folder_paths.models_dir, _path)
     if not os.path.exists(model_path):
         model_path = os.path.join(os.path.dirname(current_directory), _path)
+
     net.load_state_dict(torch.load(model_path, map_location=device))
     net.to(device)
     net.eval()