Upload Tongyi-MAI_Z-Image-Turbo_0.txt with huggingface_hub

Tongyi-MAI_Z-Image-Turbo_0.txt

@@ -11,34 +11,34 @@ image = pipe(prompt).images[0]
 
 ERROR: 
 Traceback (most recent call last):
-  File "/tmp/Tongyi-MAI_Z-Image-Turbo_02PV01y.py", line 27, in <module>
+  File "/tmp/Tongyi-MAI_Z-Image-Turbo_03q04CG.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/aa292f16bb0b222a/lib/python3.13/site-packages/huggingface_hub/utils/_validators.py", line 89, in _inner_fn
     return fn(*args, **kwargs)
-  File "/tmp/.cache/uv/environments-v2/aa292f16bb0b222a/lib/python3.13/site-packages/diffusers/pipelines/pipeline_utils.py", line 1021, in from_pretrained
+  File "/tmp/.cache/uv/environments-v2/aa292f16bb0b222a/lib/python3.13/site-packages/diffusers/pipelines/pipeline_utils.py", line 1049, in from_pretrained
     loaded_sub_model = load_sub_model(
         library_name=library_name,
-    ...<21 lines>...
+    ...<22 lines>...
         quantization_config=quantization_config,
     )
-  File "/tmp/.cache/uv/environments-v2/aa292f16bb0b222a/lib/python3.13/site-packages/diffusers/pipelines/pipeline_loading_utils.py", line 876, in load_sub_model
+  File "/tmp/.cache/uv/environments-v2/aa292f16bb0b222a/lib/python3.13/site-packages/diffusers/pipelines/pipeline_loading_utils.py", line 885, in load_sub_model
     loaded_sub_model = load_method(os.path.join(cached_folder, name), **loading_kwargs)
   File "/tmp/.cache/uv/environments-v2/aa292f16bb0b222a/lib/python3.13/site-packages/huggingface_hub/utils/_validators.py", line 89, in _inner_fn
     return fn(*args, **kwargs)
-  File "/tmp/.cache/uv/environments-v2/aa292f16bb0b222a/lib/python3.13/site-packages/diffusers/models/modeling_utils.py", line 1296, in from_pretrained
+  File "/tmp/.cache/uv/environments-v2/aa292f16bb0b222a/lib/python3.13/site-packages/diffusers/models/modeling_utils.py", line 1312, in from_pretrained
     ) = cls._load_pretrained_model(
         ~~~~~~~~~~~~~~~~~~~~~~~~~~^
         model,
         ^^^^^^
-    ...<13 lines>...
-        is_parallel_loading_enabled=is_parallel_loading_enabled,
-        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+    ...<14 lines>...
+        disable_mmap=disable_mmap,
+        ^^^^^^^^^^^^^^^^^^^^^^^^^^
     )
     ^
-  File "/tmp/.cache/uv/environments-v2/aa292f16bb0b222a/lib/python3.13/site-packages/diffusers/models/modeling_utils.py", line 1678, in _load_pretrained_model
+  File "/tmp/.cache/uv/environments-v2/aa292f16bb0b222a/lib/python3.13/site-packages/diffusers/models/modeling_utils.py", line 1699, in _load_pretrained_model
     offload_index, state_dict_index, _mismatched_keys, _error_msgs = load_fn(shard_file)
                                                                      ~~~~~~~^^^^^^^^^^^^
-  File "/tmp/.cache/uv/environments-v2/aa292f16bb0b222a/lib/python3.13/site-packages/diffusers/models/model_loading_utils.py", line 367, in _load_shard_file
+  File "/tmp/.cache/uv/environments-v2/aa292f16bb0b222a/lib/python3.13/site-packages/diffusers/models/model_loading_utils.py", line 368, in _load_shard_file
     offload_index, state_dict_index = load_model_dict_into_meta(
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~^
         model,
@@ -53,4 +53,4 @@ Traceback (most recent call last):
     ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
   File "/tmp/.cache/uv/environments-v2/aa292f16bb0b222a/lib/python3.13/site-packages/accelerate/utils/modeling.py", line 343, in set_module_tensor_to_device
     new_value = value.to(device, non_blocking=non_blocking)
-torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 150.00 MiB. GPU 0 has a total capacity of 22.03 GiB of which 133.12 MiB is free. Including non-PyTorch memory, this process has 21.90 GiB memory in use. Of the allocated memory 21.67 GiB is allocated by PyTorch, and 47.93 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
+torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 58.00 MiB. GPU 0 has a total capacity of 22.03 GiB of which 17.12 MiB is free. Including non-PyTorch memory, this process has 22.01 GiB memory in use. Of the allocated memory 21.72 GiB is allocated by PyTorch, and 111.56 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)