Can not load fusionx_lora into original wan2.1-14b

hello, i am adding the fusionx_lora into original wan2.1-14b-i2v, my code is as follow:

pipe = WanImageToVideoPipeline.from_pretrained(my_local_path + "Wan2.1-I2V-14B-480P-Diffusers", vae=vae, image_encoder=image_encoder, torch_dtype=torch.bfloat16)
pipe.load_lora_weights(
my_local_path + "Wan14BT2VFusioniX/FusionX_LoRa/Wan2.1_I2V_14B_FusionX_LoRA.safetensors"
)

But i got some errors:

File "/mmu_mllm_hdd_2/zuofei/infer_test/lora_infer_multi.py", line 60, in process_image
pipe.load_lora_weights(
File "/hetu_group/zuofei/env/wan_infer/lib/python3.12/site-packages/diffusers/loaders/lora_pipeline.py", line 4869, in load_lora_weights
state_dict = self.lora_state_dict(pretrained_model_name_or_path_or_dict, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/hetu_group/zuofei/env/wan_infer/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^
File "/hetu_group/zuofei/env/wan_infer/lib/python3.12/site-packages/diffusers/loaders/lora_pipeline.py", line 4796, in lora_state_dict
state_dict = _convert_non_diffusers_wan_lora_to_diffusers(state_dict)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/hetu_group/zuofei/env/wan_infer/lib/python3.12/site-packages/diffusers/loaders/lora_conversion_utils.py", line 1564, in _convert_non_diffusers_wan_lora_to_diffusers
num_blocks = len({k.split("blocks.")[1].split(".")[0] for k in original_state_dict})
~~~~~~~~~~~~~~~~~~^^^
IndexError: list index out of range

Can you tell me how to fix it? Thank you so much!

Inizia in diffusers/loaders/lora_pipeline.py da lora_state_dict e segui _convert_non_diffusers_wan_lora_to_diffusers in diffusers/loaders/lora_conversion_utils.py. Riproduci il fallimento con il codice di WanImageToVideoPipeline e ispeziona le chiavi dello state-dict di FusionX_LoRA; il lavoro è completo quando il checkpoint viene caricato senza l’IndexError oppure la sua incompatibilità è documentata chiaramente.