diff --git a/scripts/training/finetune-ldm-lora.py b/scripts/training/finetune-ldm-lora.py
index 19c07b8..40ad8a5 100644
--- a/scripts/training/finetune-ldm-lora.py
+++ b/scripts/training/finetune-ldm-lora.py
@@ -3,7 +3,7 @@ from typing import Any
 from pydantic import BaseModel
 from loguru import logger
 from refiners.fluxion.utils import save_to_safetensors
-from refiners.foundationals.latent_diffusion.lora import LoraTarget, LoraAdapter, MODELS
+from refiners.foundationals.latent_diffusion.lora import LoraTarget, LoraAdapter, MODELS, lora_targets
 import refiners.fluxion.layers as fl
 from torch import Tensor
 from torch.utils.data import Dataset
@@ -79,9 +79,10 @@ class LoadLoras(Callback[LoraLatentDiffusionTrainer]):
 
         for model_name in MODELS:
             model = getattr(trainer, model_name)
+            model_targets: list[LoraTarget] = getattr(lora_config, f"{model_name}_targets")
             adapter = LoraAdapter[type(model)](
                 model,
-                sub_targets=getattr(lora_config, f"{model_name}_targets"),
+                sub_targets=[x for target in model_targets for x in lora_targets(model, target)],
                 rank=lora_config.rank,
             )
             for sub_adapter, _ in adapter.sub_adapters: