ariG23498 HF Staff commited on
Commit
a5496bc
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1 Parent(s): 5b6b04c

Upload renderartist_Technically-Color-Z-Image-Turbo_0.txt with huggingface_hub

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renderartist_Technically-Color-Z-Image-Turbo_0.txt CHANGED
@@ -12,26 +12,33 @@ 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/renderartist_Technically-Color-Z-Image-Turbo_0epWF97.py", line 27, in <module>
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  pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda")
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  File "/tmp/.cache/uv/environments-v2/2ea2351a05ded5c1/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-v2/2ea2351a05ded5c1/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-v2/2ea2351a05ded5c1/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-v2/2ea2351a05ded5c1/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-v2/2ea2351a05ded5c1/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-v2/2ea2351a05ded5c1/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 ZImagePipeline. Did you mean: 'QwenImagePipeline'?
 
 
 
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  ERROR:
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  Traceback (most recent call last):
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+ File "/tmp/renderartist_Technically-Color-Z-Image-Turbo_06ss2qU.py", line 27, in <module>
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  pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda")
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  File "/tmp/.cache/uv/environments-v2/2ea2351a05ded5c1/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-v2/2ea2351a05ded5c1/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-v2/2ea2351a05ded5c1/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-v2/2ea2351a05ded5c1/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-v2/2ea2351a05ded5c1/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-v2/2ea2351a05ded5c1/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-v2/2ea2351a05ded5c1/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 11.46 GiB. GPU 0 has a total capacity of 22.03 GiB of which 6.53 GiB is free. Including non-PyTorch memory, this process has 15.50 GiB memory in use. Of the allocated memory 15.30 GiB is allocated by PyTorch, and 17.75 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)