diff --git a/README.md b/README.md
index 4eae1e0..76212f3 100644
--- a/README.md
+++ b/README.md
@@ -10,4 +10,12 @@ todo
 
 Besides text encoder, this should already run at 10-12GB VRAM
 
+Model loading has not been optimized at all yet, currently needs everything from here:
+
+https://huggingface.co/rain1011/pyramid-flow-sd3/tree/main
+
+to:
+
+`ComfyUI/models/pyramidflow/pyramid-flow-sd3`
+
 Original repo: https://github.com/jy0205/Pyramid-Flow
diff --git a/nodes.py b/nodes.py
index cd02454..61e8446 100644
--- a/nodes.py
+++ b/nodes.py
@@ -60,17 +60,26 @@ class DownloadAndLoadPyramidFlowModel:
         base_path = folder_paths.get_folder_paths("pyramidflow")[0]
         
         model_path = os.path.join(base_path, model.split("/")[-1])
+        variant_path = os.path.join(model_path, variant)
         
-        if not os.path.exists(model_path):
+        if not os.path.exists(variant_path):
             log.info(f"Downloading model to: {model_path}")
-            from huggingface_hub import snapshot_download
-
-            snapshot_download(
-                repo_id=model,
-                #ignore_patterns=["*text_encoder*", "*tokenizer*"],
-                local_dir=model_path,
-                local_dir_use_symlinks=False,
-            )
+            if variant == "diffusion_transformer_384p":
+                from huggingface_hub import snapshot_download
+                snapshot_download(
+                    repo_id=model,
+                    ignore_patterns=["*diffusion_transformer_768p*"],
+                    local_dir=model_path,
+                    local_dir_use_symlinks=False,
+                )
+            elif variant == "diffusion_transformer_768p":
+                from huggingface_hub import snapshot_download
+                snapshot_download(
+                    repo_id=model,
+                    ignore_patterns=["*diffusion_transformer_384p*"],
+                    local_dir=model_path,
+                    local_dir_use_symlinks=False,
+                )
 
         model = PyramidDiTForVideoGeneration(
             model_path,