Incorrect files downloading!
Hi, I tryed to use the fal/AuraFlow-v0.3, but downloading process stops without any logs, and I got error
The cache for model files in Transformers v4.22.0 has been updated. Migrating your old cache. This is a one-time only operation. You can interrupt this and resume the migration later on by calling transformers.utils.move_cache().
0it [00:00, ?it/s]
model_index.json: 100%|███████████████████████████████████████████████████████████████████████| 458/458 [00:00<?, ?B/s]
C:\Users\Developer\anaconda3\envs\aura\Lib\site-packages\huggingface_hub\file_download.py:159: UserWarning: huggingface_hub cache-system uses symlinks by default to efficiently store duplicated files but your machine does not support them in C:\Users\Developer.cache\huggingface\hub\models--fal--AuraFlow-v0.3. Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting the HF_HUB_DISABLE_SYMLINKS_WARNING environment variable. For more details, see https://huggingface.co/docs/huggingface_hub/how-to-cache#limitations.
To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. In order to see activate developer mode, see this article: https://docs.microsoft.com/en-us/windows/apps/get-started/enable-your-device-for-development
warnings.warn(message)
A mixture of fp16 and non-fp16 filenames will be loaded.
Loaded fp16 filenames:
[text_encoder/model.fp16.safetensors, vae/diffusion_pytorch_model.fp16.safetensors]
Loaded non-fp16 filenames:
[transformer/diffusion_pytorch_model-00002-of-00003.safetensors, transformer/diffusion_pytorch_model-00001-of-00003.safetensors, transformer/diffusion_pytorch_model-00003-of-00003.safetensors
If this behavior is not expected, please check your folder structure.
text_encoder/config.json: 100%|███████████████████████████████████████████████████████████████| 949/949 [00:00<?, ?B/s]
tokenizer/special_tokens_map.json: 100%|███████████████████████████████████████████| 2.68k/2.68k [00:00<00:00, 482kB/s]
tokenizer/tokenizer_config.json: 100%|████████████████████████████████████████████| 21.0k/21.0k [00:00<00:00, 3.23MB/s]
scheduler/scheduler_config.json: 100%|████████████████████████████████████████████████████████| 142/142 [00:00<?, ?B/s]
tokenizer/added_tokens.json: 100%|████████████████████████████████████████████████████████| 2.59k/2.59k [00:00<?, ?B/s]
tokenizer/tokenizer.json: 100%|███████████████████████████████████████████████████| 1.86M/1.86M [00:00<00:00, 7.60MB/s]
tokenizer.model: 100%|██████████████████████████████████████████████████████████████| 500k/500k [00:00<00:00, 2.84MB/s]
transformer/config.json: 100%|████████████████████████████████████████████████████████████████| 379/379 [00:00<?, ?B/s]
vae/config.json: 100%|████████████████████████████████████████████████████████████████████████| 859/859 [00:00<?, ?B/s]
(…)ion_pytorch_model.safetensors.index.json: 100%|█████████████████████████████████| 36.0k/36.0k [00:00<00:00, 323kB/s]
diffusion_pytorch_model.fp16.safetensors: 100%|█████████████████████████████████████| 167M/167M [00:13<00:00, 12.0MB/s]
model.fp16.safetensors: 100%|█████████████████████████████████████████████████████| 2.95G/2.95G [03:23<00:00, 14.5MB/s]
(…)pytorch_model-00003-of-00003.safetensors: 100%|████████████████████████████████| 7.55G/7.55G [07:22<00:00, 17.0MB/s]
(…)pytorch_model-00001-of-00003.safetensors: 100%|████████████████████████████████| 9.99G/9.99G [08:44<00:00, 19.1MB/s]
(…)pytorch_model-00002-of-00003.safetensors: 100%|████████████████████████████████| 9.89G/9.89G [08:44<00:00, 18.9MB/s]
Fetching 16 files: 100%|███████████████████████████████████████████████████████████████| 16/16 [08:45<00:00, 32.82s/it]
Loading pipeline components...: 0%| | 0/5 [00:00<?, ?it/s]
Traceback (most recent call last):
File "C:\Users\Developer\Desktop\run.py", line 4, in
pipeline = AuraFlowPipeline.from_pretrained(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Developer\anaconda3\envs\aura\Lib\site-packages\huggingface_hub\utils_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^
File "C:\Users\Developer\anaconda3\envs\aura\Lib\site-packages\diffusers\pipelines\pipeline_utils.py", line 859, in from_pretrained
loaded_sub_model = load_sub_model(
^^^^^^^^^^^^^^^
File "C:\Users\Developer\anaconda3\envs\aura\Lib\site-packages\diffusers\pipelines\pipeline_loading_utils.py", line 698, in load_sub_model
loaded_sub_model = load_method(os.path.join(cached_folder, name), **loading_kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Developer\anaconda3\envs\aura\Lib\site-packages\transformers\modeling_utils.py", line 3504, in from_pretrained
raise EnvironmentError(
OSError: Error no file named pytorch_model.bin, model.safetensors, tf_model.h5, model.ckpt.index or flax_model.msgpack found in directory C:\Users\Developer.cache\huggingface\hub\models--fal--AuraFlow-v0.3\snapshots\2cd8588f04c886002be4571697d84654a50e3af3\text_encoder.