demo

app.py

@@ -11,6 +11,16 @@ FaceLift: Single Image 3D Face Reconstruction
 Generates 3D head models from single images using multi-view diffusion and GS-LRM.
 """
 
+# Disable HF fast transfer if hf_transfer is not installed
+# This MUST be done before importing huggingface_hub
+import os
+if os.environ.get("HF_HUB_ENABLE_HF_TRANSFER") == "1":
+    try:
+        import hf_transfer
+    except ImportError:
+        print("⚠️  hf_transfer not available, disabling fast download")
+        os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "0"
+
 import json
 from pathlib import Path
 from datetime import datetime
@@ -31,7 +41,6 @@ import spaces
 # Install diff-gaussian-rasterization at runtime (requires GPU)
 import subprocess
 import sys
-import os
 
 # Outputs directory for generated files
 OUTPUTS_DIR = Path.cwd() / "outputs"
@@ -100,14 +109,6 @@ def download_weights_from_hf() -> Path:
     print(f"Downloading model weights from HuggingFace: {HF_REPO_ID}")
     print("This may take a few minutes on first run...")
     
-    # Disable fast transfer if hf_transfer is not installed
-    if os.environ.get("HF_HUB_ENABLE_HF_TRANSFER") == "1":
-        try:
-            import hf_transfer
-        except ImportError:
-            print("hf_transfer not available, disabling fast download")
-            os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "0"
-    
     # Download to local directory
     snapshot_download(
         repo_id=HF_REPO_ID,