ariG23498 HF Staff commited on
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1 Parent(s): 01a16c5

Upload Qwen_Qwen-Image_0.txt with huggingface_hub

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  1. Qwen_Qwen-Image_0.txt +2 -2
Qwen_Qwen-Image_0.txt CHANGED
@@ -11,7 +11,7 @@ image = pipe(prompt).images[0]
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  ERROR:
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  Traceback (most recent call last):
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- File "/tmp/Qwen_Qwen-Image_0uZLqPT.py", line 27, in <module>
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  pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image", dtype=torch.bfloat16, device_map="cuda")
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  File "/tmp/.cache/uv/environments-v2/29dc976ff856b6da/lib/python3.13/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
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  return fn(*args, **kwargs)
@@ -40,4 +40,4 @@ Traceback (most recent call last):
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  ~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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  File "/tmp/.cache/uv/environments-v2/29dc976ff856b6da/lib/python3.13/site-packages/diffusers/models/model_loading_utils.py", line 754, in _caching_allocator_warmup
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  _ = torch.empty(warmup_elems, dtype=dtype, device=device, requires_grad=False)
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- torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 38.05 GiB. GPU 0 has a total capacity of 22.03 GiB of which 21.84 GiB is free. Including non-PyTorch memory, this process has 186.00 MiB memory in use. Of the allocated memory 0 bytes is allocated by PyTorch, and 0 bytes is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
 
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  ERROR:
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  Traceback (most recent call last):
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+ File "/tmp/Qwen_Qwen-Image_0rVwu6x.py", line 27, in <module>
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  pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image", dtype=torch.bfloat16, device_map="cuda")
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  File "/tmp/.cache/uv/environments-v2/29dc976ff856b6da/lib/python3.13/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
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  return fn(*args, **kwargs)
 
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  ~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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  File "/tmp/.cache/uv/environments-v2/29dc976ff856b6da/lib/python3.13/site-packages/diffusers/models/model_loading_utils.py", line 754, in _caching_allocator_warmup
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  _ = torch.empty(warmup_elems, dtype=dtype, device=device, requires_grad=False)
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+ torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 38.05 GiB. GPU 0 has a total capacity of 22.03 GiB of which 21.34 GiB is free. Including non-PyTorch memory, this process has 700.00 MiB memory in use. Of the allocated memory 494.18 MiB is allocated by PyTorch, and 19.82 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)