diff --git a/nodes.py b/nodes.py
index affc416..b75e9c3 100644
--- a/nodes.py
+++ b/nodes.py
@@ -112,6 +112,34 @@ class Trellis2LoadModel:
         if not os.path.exists(dinov3_model_path):
             raise Exception("Facebook Dinov3 model not found in models/facebook/dinov3-vitl16-pretrain-lvd1689m folder")
         
+        trellis_image_large_path = os.path.join(folder_paths.models_dir,"microsoft","Trellis-Image-Large","ckpts","ss_dec_conv3d_16l8_fp16.safetensors")
+        if not os.path.exists(trellis_image_large_path):
+            print('Trellis-Image-Large ss_dec_conv3d_16l8_fp16 files not found. Trying to download the files from huggingface ...')
+            import requests
+            url = "https://huggingface.co/microsoft/TRELLIS-image-large/resolve/main/ckpts/ss_dec_conv3d_16l8_fp16.json?download=true"
+            filename = os.path.join(folder_paths.models_dir,"microsoft","Trellis-Image-Large","ckpts","ss_dec_conv3d_16l8_fp16.json")
+            path = Path(filename)
+            path.parent.mkdir(parents=True, exist_ok=True)
+            
+            response = requests.get(url)
+            if response.status_code == 200:
+                with open(filename, "wb") as f:
+                    f.write(response.content)
+                print("Download ss_dec_conv3d_16l8_fp16.json complete!")
+            else:
+                raise Exception("Cannot download Trellis-Image-Large file ss_dec_conv3d_16l8_fp16.json")
+            
+            url = "https://huggingface.co/microsoft/TRELLIS-image-large/resolve/main/ckpts/ss_dec_conv3d_16l8_fp16.safetensors?download=true"
+            filename = os.path.join(folder_paths.models_dir,"microsoft","Trellis-Image-Large","ckpts","ss_dec_conv3d_16l8_fp16.safetensors")
+
+            response = requests.get(url)
+            if response.status_code == 200:
+                with open(filename, "wb") as f:
+                    f.write(response.content)
+                print("Download ss_dec_conv3d_16l8_fp16.safetensors complete!")
+            else:
+                raise Exception("Cannot download Trellis-Image-Large file ss_dec_conv3d_16l8_fp16.safetensors")
+        
         pipeline = Trellis2ImageTo3DPipeline.from_pretrained(model_path)
         pipeline.low_vram = low_vram
         
diff --git a/requirements.txt b/requirements.txt
index a1831cd..a389626 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1 +1,2 @@
 meshlib
+requests
diff --git a/trellis2/pipelines/trellis2_image_to_3d.py b/trellis2/pipelines/trellis2_image_to_3d.py
index 1c2f16b..12a50c5 100644
--- a/trellis2/pipelines/trellis2_image_to_3d.py
+++ b/trellis2/pipelines/trellis2_image_to_3d.py
@@ -49,8 +49,12 @@ class Trellis2ImageTo3DPipeline(Pipeline):
     ):
         if models is None:
             return
+        
+        if os.name=='nt':
+            models['sparse_structure_decoder'] = os.path.join(folder_paths.models_dir,"microsoft","TRELLIS-image-large","ckpts","ss_dec_conv3d_16l8_fp16")
+        else:
+            models['sparse_structure_decoder'] = os.path.join("models","microsoft","TRELLIS-image-large","ckpts","ss_dec_conv3d_16l8_fp16")            
             
-        #models['sparse_structure_decoder'] = os.path.join("microsoft","TRELLIS-image-large","ckpts","ss_dec_conv3d_16l8_fp16.safetensors")            
         super().__init__(models)
         self.sparse_structure_sampler = sparse_structure_sampler
         self.shape_slat_sampler = shape_slat_sampler
@@ -97,8 +101,11 @@ class Trellis2ImageTo3DPipeline(Pipeline):
         new_pipeline.shape_slat_normalization = args['shape_slat_normalization']
         new_pipeline.tex_slat_normalization = args['tex_slat_normalization']
 
-        #facebook_model_path = os.path.join(folder_paths.models_dir,"facebook","dinov3-vitl16-pretrain-lvd1689m")
-        facebook_model_path = os.path.join("models","facebook","dinov3-vitl16-pretrain-lvd1689m")
+        if os.name == 'nt':
+            facebook_model_path = os.path.join(folder_paths.models_dir,"facebook","dinov3-vitl16-pretrain-lvd1689m")
+        else:
+            facebook_model_path = os.path.join("models","facebook","dinov3-vitl16-pretrain-lvd1689m")
+            
         args['image_cond_model']['args']['model_name'] = facebook_model_path
 
         new_pipeline.image_cond_model = getattr(image_feature_extractor, args['image_cond_model']['name'])(**args['image_cond_model']['args'])