Upload ostris_zimage_turbo_training_adapter_0.txt with huggingface_hub

ostris_zimage_turbo_training_adapter_0.txt

@@ -12,26 +12,33 @@ image = pipe(prompt).images[0]
 
 ERROR: 
 Traceback (most recent call last):
-  File "/tmp/ostris_zimage_turbo_training_adapter_0WcWYHl.py", line 27, in <module>
+  File "/tmp/ostris_zimage_turbo_training_adapter_0banEPd.py", line 27, in <module>
     pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda")
   File "/tmp/.cache/uv/environments-v2/25238aa61236a1ed/lib/python3.13/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
     return fn(*args, **kwargs)
-  File "/tmp/.cache/uv/environments-v2/25238aa61236a1ed/lib/python3.13/site-packages/diffusers/pipelines/pipeline_utils.py", line 833, in from_pretrained
-    cached_folder = cls.download(
-        pretrained_model_name_or_path,
-    ...<14 lines>...
-        **kwargs,
+  File "/tmp/.cache/uv/environments-v2/25238aa61236a1ed/lib/python3.13/site-packages/diffusers/pipelines/pipeline_utils.py", line 1021, in from_pretrained
+    loaded_sub_model = load_sub_model(
+        library_name=library_name,
+    ...<21 lines>...
+        quantization_config=quantization_config,
     )
+  File "/tmp/.cache/uv/environments-v2/25238aa61236a1ed/lib/python3.13/site-packages/diffusers/pipelines/pipeline_loading_utils.py", line 876, in load_sub_model
+    loaded_sub_model = load_method(os.path.join(cached_folder, name), **loading_kwargs)
   File "/tmp/.cache/uv/environments-v2/25238aa61236a1ed/lib/python3.13/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
     return fn(*args, **kwargs)
-  File "/tmp/.cache/uv/environments-v2/25238aa61236a1ed/lib/python3.13/site-packages/diffusers/pipelines/pipeline_utils.py", line 1548, in download
-    pipeline_class = _get_pipeline_class(
-        cls,
-    ...<7 lines>...
-        revision=custom_revision,
+  File "/tmp/.cache/uv/environments-v2/25238aa61236a1ed/lib/python3.13/site-packages/diffusers/models/modeling_utils.py", line 1296, in from_pretrained
+    ) = cls._load_pretrained_model(
+        ~~~~~~~~~~~~~~~~~~~~~~~~~~^
+        model,
+        ^^^^^^
+    ...<13 lines>...
+        is_parallel_loading_enabled=is_parallel_loading_enabled,
+        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
     )
-  File "/tmp/.cache/uv/environments-v2/25238aa61236a1ed/lib/python3.13/site-packages/diffusers/pipelines/pipeline_loading_utils.py", line 491, in _get_pipeline_class
-    pipeline_cls = getattr(diffusers_module, class_name)
-  File "/tmp/.cache/uv/environments-v2/25238aa61236a1ed/lib/python3.13/site-packages/diffusers/utils/import_utils.py", line 946, in __getattr__
-    raise AttributeError(f"module {self.__name__} has no attribute {name}")
-AttributeError: module diffusers has no attribute ZImagePipeline. Did you mean: 'QwenImagePipeline'?
+    ^
+  File "/tmp/.cache/uv/environments-v2/25238aa61236a1ed/lib/python3.13/site-packages/diffusers/models/modeling_utils.py", line 1635, in _load_pretrained_model
+    _caching_allocator_warmup(model, expanded_device_map, dtype, hf_quantizer)
+    ~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/25238aa61236a1ed/lib/python3.13/site-packages/diffusers/models/model_loading_utils.py", line 751, in _caching_allocator_warmup
+    _ = torch.empty(warmup_elems, dtype=dtype, device=device, requires_grad=False)
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 11.46 GiB. GPU 0 has a total capacity of 22.03 GiB of which 6.86 GiB is free. Including non-PyTorch memory, this process has 15.17 GiB memory in use. Of the allocated memory 14.98 GiB is allocated by PyTorch, and 3.50 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)