Update nodes_model_loading.py

nodes_model_loading.py

@@ -778,7 +778,7 @@ def load_weights(transformer, sd=None, weight_dtype=None, base_dtype=None,
             weights = torch.from_numpy(tensor.data.copy()).to(load_device)
             sd[tensor.name] = GGUFParameter(weights, quant_type=tensor.tensor_type) if is_gguf_quant else weights
         sd.update(unianimate_sd)
-        del unianimate_sd
+        del all_tensors, unianimate_sd
 
         if not getattr(transformer, "gguf_patched", False):
             transformer = _replace_with_gguf_linear(
@@ -906,6 +906,7 @@ def add_lora_weights(patcher, lora, base_dtype, merge_loras=False):
         # Filter out any LoRA keys containing 'img' if the base model state_dict has no 'img' keys
         #if not any('img' in k for k in sd.keys()):
         #    lora_sd = {k: v for k, v in lora_sd.items() if 'img' not in k}
+        
         if "diffusion_model.patch_embedding.lora_A.weight" in lora_sd:
             control_lora = True
         #stand-in LoRA patch