diff --git a/src/diffusers/loaders/lora_conversion_utils.py b/src/diffusers/loaders/lora_conversion_utils.py
index af7547f45198..954628f2d33d 100644
--- a/src/diffusers/loaders/lora_conversion_utils.py
+++ b/src/diffusers/loaders/lora_conversion_utils.py
@@ -1712,3 +1712,11 @@ def _convert_non_diffusers_hidream_lora_to_diffusers(state_dict, non_diffusers_p
     converted_state_dict = {k.removeprefix(f"{non_diffusers_prefix}."): v for k, v in state_dict.items()}
     converted_state_dict = {f"transformer.{k}": v for k, v in converted_state_dict.items()}
     return converted_state_dict
+
+
+def _convert_non_diffusers_ltxv_lora_to_diffusers(state_dict, non_diffusers_prefix="diffusion_model"):
+    if not all(k.startswith(f"{non_diffusers_prefix}.") for k in state_dict):
+        raise ValueError("Invalid LoRA state dict for LTX-Video.")
+    converted_state_dict = {k.removeprefix(f"{non_diffusers_prefix}."): v for k, v in state_dict.items()}
+    converted_state_dict = {f"transformer.{k}": v for k, v in converted_state_dict.items()}
+    return converted_state_dict
diff --git a/src/diffusers/loaders/lora_pipeline.py b/src/diffusers/loaders/lora_pipeline.py
index b68cf72b914a..b85f51db83bc 100644
--- a/src/diffusers/loaders/lora_pipeline.py
+++ b/src/diffusers/loaders/lora_pipeline.py
@@ -45,6 +45,7 @@
     _convert_musubi_wan_lora_to_diffusers,
     _convert_non_diffusers_hidream_lora_to_diffusers,
     _convert_non_diffusers_lora_to_diffusers,
+    _convert_non_diffusers_ltxv_lora_to_diffusers,
     _convert_non_diffusers_lumina2_lora_to_diffusers,
     _convert_non_diffusers_wan_lora_to_diffusers,
     _convert_xlabs_flux_lora_to_diffusers,
@@ -3418,7 +3419,6 @@ class LTXVideoLoraLoaderMixin(LoraBaseMixin):
 
     @classmethod
     @validate_hf_hub_args
-    # Copied from diffusers.loaders.lora_pipeline.CogVideoXLoraLoaderMixin.lora_state_dict
     def lora_state_dict(
         cls,
         pretrained_model_name_or_path_or_dict: Union[str, Dict[str, torch.Tensor]],
@@ -3512,6 +3512,10 @@ def lora_state_dict(
             logger.warning(warn_msg)
             state_dict = {k: v for k, v in state_dict.items() if "dora_scale" not in k}
 
+        is_non_diffusers_format = any(k.startswith("diffusion_model.") for k in state_dict)
+        if is_non_diffusers_format:
+            state_dict = _convert_non_diffusers_ltxv_lora_to_diffusers(state_dict)
+
         return state_dict
 
     # Copied from diffusers.loaders.lora_pipeline.CogVideoXLoraLoaderMixin.load_lora_weights