ariG23498 HF Staff commited on
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Upload Qwen_Qwen-Image-Edit-2509_0.txt with huggingface_hub

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  1. Qwen_Qwen-Image-Edit-2509_0.txt +23 -16
Qwen_Qwen-Image-Edit-2509_0.txt CHANGED
@@ -14,26 +14,33 @@ image = pipe(image=input_image, prompt=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-Edit-2509_0Uuh87i.py", line 28, in <module>
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  pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image-Edit-2509", dtype=torch.bfloat16, device_map="cuda")
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  File "/tmp/.cache/uv/environments-v2/cec8eac0e2e692b8/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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- File "/tmp/.cache/uv/environments-v2/cec8eac0e2e692b8/lib/python3.13/site-packages/diffusers/pipelines/pipeline_utils.py", line 833, in from_pretrained
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- cached_folder = cls.download(
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- pretrained_model_name_or_path,
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- ...<14 lines>...
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- **kwargs,
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  )
 
 
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  File "/tmp/.cache/uv/environments-v2/cec8eac0e2e692b8/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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- File "/tmp/.cache/uv/environments-v2/cec8eac0e2e692b8/lib/python3.13/site-packages/diffusers/pipelines/pipeline_utils.py", line 1548, in download
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- pipeline_class = _get_pipeline_class(
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- cls,
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- ...<7 lines>...
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- revision=custom_revision,
 
 
 
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  )
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- File "/tmp/.cache/uv/environments-v2/cec8eac0e2e692b8/lib/python3.13/site-packages/diffusers/pipelines/pipeline_loading_utils.py", line 491, in _get_pipeline_class
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- pipeline_cls = getattr(diffusers_module, class_name)
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- File "/tmp/.cache/uv/environments-v2/cec8eac0e2e692b8/lib/python3.13/site-packages/diffusers/utils/import_utils.py", line 946, in __getattr__
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- raise AttributeError(f"module {self.__name__} has no attribute {name}")
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- AttributeError: module diffusers has no attribute QwenImageEditPlusPipeline. Did you mean: 'QwenImageEditPipeline'?
 
 
 
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  ERROR:
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  Traceback (most recent call last):
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+ File "/tmp/Qwen_Qwen-Image-Edit-2509_01G5gCJ.py", line 28, in <module>
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  pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image-Edit-2509", dtype=torch.bfloat16, device_map="cuda")
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  File "/tmp/.cache/uv/environments-v2/cec8eac0e2e692b8/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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+ File "/tmp/.cache/uv/environments-v2/cec8eac0e2e692b8/lib/python3.13/site-packages/diffusers/pipelines/pipeline_utils.py", line 1021, in from_pretrained
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+ loaded_sub_model = load_sub_model(
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+ library_name=library_name,
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+ ...<21 lines>...
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+ quantization_config=quantization_config,
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  )
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+ File "/tmp/.cache/uv/environments-v2/cec8eac0e2e692b8/lib/python3.13/site-packages/diffusers/pipelines/pipeline_loading_utils.py", line 876, in load_sub_model
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+ loaded_sub_model = load_method(os.path.join(cached_folder, name), **loading_kwargs)
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  File "/tmp/.cache/uv/environments-v2/cec8eac0e2e692b8/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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+ File "/tmp/.cache/uv/environments-v2/cec8eac0e2e692b8/lib/python3.13/site-packages/diffusers/models/modeling_utils.py", line 1296, in from_pretrained
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+ ) = cls._load_pretrained_model(
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+ ~~~~~~~~~~~~~~~~~~~~~~~~~~^
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+ model,
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+ ^^^^^^
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+ ...<13 lines>...
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+ is_parallel_loading_enabled=is_parallel_loading_enabled,
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+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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  )
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+ ^
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+ File "/tmp/.cache/uv/environments-v2/cec8eac0e2e692b8/lib/python3.13/site-packages/diffusers/models/modeling_utils.py", line 1635, in _load_pretrained_model
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+ _caching_allocator_warmup(model, expanded_device_map, dtype, hf_quantizer)
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+ ~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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+ File "/tmp/.cache/uv/environments-v2/cec8eac0e2e692b8/lib/python3.13/site-packages/diffusers/models/model_loading_utils.py", line 751, 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)