Update app.py

app.py

@@ -411,6 +411,8 @@ def prepare_distilled_default_state():
     gc.collect()
     print("Distilled default LoRA state prepared.")
 
+prepare_distilled_default_state()
+
 def _make_lora_key(pose_strength: float, general_strength: float, motion_strength: float, dreamlay_strength: float, mself_strength: float, dramatic_strength: float, fluid_strength: float, liquid_strength: float, demopose_strength: float) -> tuple[str, str]:
     rp = round(float(pose_strength), 2)
     rg = round(float(general_strength), 2)
@@ -584,13 +586,13 @@ _orig_gemma_embeddings_factory = ledger.gemma_embeddings_processor
 
 # Call the original factories once to create the cached instances we will serve by default.
 _transformer = _orig_transformer_factory()
-_transformer = _orig_transformer_factory()
 if DISTILLED_DEFAULT_STATE is not None:
     with torch.no_grad():
         missing, unexpected = _transformer.load_state_dict(DISTILLED_DEFAULT_STATE, strict=False)
         if missing or unexpected:
             print(f"[Distilled default] load_state_dict mismatch: missing={len(missing)}, unexpected={len(unexpected)}")
     print("[Distilled default] applied to transformer.")
+
 _video_encoder = _orig_video_encoder_factory()
 _video_decoder = _orig_video_decoder_factory()
 _audio_encoder = _orig_audio_encoder_factory()