local models loading #1462

--model_paths '["models/Wan-AI/Wan2.1-T2V-14B/diffusion_pytorch_model-00001-of-00006.safetensors","models/Wan-AI/Wan2.1-T2V-14B/diffusion_pytorch_model-00002-of-00006.safetensors","models/Wan-AI/Wan2.1-T2V-14B/diffusion_pytorch_model-00003-of-00006.safetensors","models/Wan-AI/Wan2.1-T2V-14B/diffusion_pytorch_model-00004-of-00006.safetensors","models/Wan-AI/Wan2.1-T2V-14B/diffusion_pytorch_model-00005-of-00006.safetensors","models/Wan-AI/Wan2.1-T2V-14B/diffusion_pytorch_model-00006-of-00006.safetensors","models/Wan-AI/Wan2.1-T2V-14B/models_t5_umt5-xxl-enc-bf16.pth","models/Wan-AI/Wan2.1-T2V-14B/Wan2.1_VAE.pth"]' 

Traceback (most recent call last):
[rank2]:   File "train.py", line 1099, in <module>
[rank2]:     main()
[rank2]:   File "train.py", line 1005, in main
[rank2]:     model = VideoTrainingModule(
[rank2]:             ^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank2]:   File "train.py", line 475, in __init__
[rank2]:     self.pipe = WanVideoPipeline.from_pretrained(
[rank2]:                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank2]:   File "diffsynth/pipelines/wan_video.py", line 147, in from_pretrained
[rank2]:     model_pool = pipe.download_and_load_models(model_configs, vram_limit)
[rank2]:                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[rank2]:   File "diffsynth/diffusion/base_pipeline.py", line 303, in download_and_load_models
[rank2]:     model_pool.auto_load_model(
[rank2]:   File "diffsynth/models/model_loader.py", line 82, in auto_load_model
[rank2]:     raise ValueError(f"Cannot detect the model type. File: {path}. Model hash: {model_hash}")
[rank2]: ValueError: Cannot detect the model type. File: models/Wan-AI/Wan2.1-T2V-14B/diffusion_pytorch_model-00001-of-00006.safetensors. Model hash: 7607eaaeb524095268b872e4d5189baf