fix create_network_from_weights doesn't work

networks/lora.py

@@ -757,6 +757,9 @@ def get_block_index(lora_name: str, is_sdxl: bool = False) -> int:
 
 # Create network from weights for inference, weights are not loaded here (because can be merged)
 def create_network_from_weights(multiplier, file, vae, text_encoder, unet, weights_sd=None, for_inference=False, **kwargs):
+    # if unet is an instance of SdxlUNet2DConditionModel or subclass, set is_sdxl to True
+    is_sdxl = unet is not None and issubclass(unet.__class__, SdxlUNet2DConditionModel)
+
     if weights_sd is None:
         if os.path.splitext(file)[1] == ".safetensors":
             from safetensors.torch import load_file, safe_open
@@ -792,7 +795,7 @@ def create_network_from_weights(multiplier, file, vae, text_encoder, unet, weigh
     )
 
     # block lr
-    block_lr_weight = parse_block_lr_kwargs(kwargs)
+    block_lr_weight = parse_block_lr_kwargs(is_sdxl, kwargs)
     if block_lr_weight is not None:
         network.set_block_lr_weight(block_lr_weight)