Upload AIDC-AI_Ovis-Image-7B_0.txt with huggingface_hub

AIDC-AI_Ovis-Image-7B_0.txt

@@ -11,26 +11,46 @@ image = pipe(prompt).images[0]
 
 ERROR: 
 Traceback (most recent call last):
-  File "/tmp/AIDC-AI_Ovis-Image-7B_0UfambZ.py", line 27, in <module>
+  File "/tmp/AIDC-AI_Ovis-Image-7B_0IutxDQ.py", line 27, in <module>
     pipe = DiffusionPipeline.from_pretrained("AIDC-AI/Ovis-Image-7B", dtype=torch.bfloat16, device_map="cuda")
   File "/tmp/.cache/uv/environments-v2/4c88b0d2a4015e5b/lib/python3.13/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
     return fn(*args, **kwargs)
-  File "/tmp/.cache/uv/environments-v2/4c88b0d2a4015e5b/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-v2/4c88b0d2a4015e5b/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-v2/4c88b0d2a4015e5b/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-v2/4c88b0d2a4015e5b/lib/python3.13/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
     return fn(*args, **kwargs)
-  File "/tmp/.cache/uv/environments-v2/4c88b0d2a4015e5b/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-v2/4c88b0d2a4015e5b/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-v2/4c88b0d2a4015e5b/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-v2/4c88b0d2a4015e5b/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 OvisImagePipeline. Did you mean: 'QwenImagePipeline'?
+    ^
+  File "/tmp/.cache/uv/environments-v2/4c88b0d2a4015e5b/lib/python3.13/site-packages/diffusers/models/modeling_utils.py", line 1678, in _load_pretrained_model
+    offload_index, state_dict_index, _mismatched_keys, _error_msgs = load_fn(shard_file)
+                                                                     ~~~~~~~^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/4c88b0d2a4015e5b/lib/python3.13/site-packages/diffusers/models/model_loading_utils.py", line 367, in _load_shard_file
+    offload_index, state_dict_index = load_model_dict_into_meta(
+                                      ~~~~~~~~~~~~~~~~~~~~~~~~~^
+        model,
+        ^^^^^^
+    ...<9 lines>...
+        state_dict_folder=state_dict_folder,
+        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+    )
+    ^
+  File "/tmp/.cache/uv/environments-v2/4c88b0d2a4015e5b/lib/python3.13/site-packages/diffusers/models/model_loading_utils.py", line 307, in load_model_dict_into_meta
+    set_module_tensor_to_device(model, param_name, param_device, value=param, **set_module_kwargs)
+    ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/4c88b0d2a4015e5b/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 144.00 MiB. GPU 0 has a total capacity of 22.03 GiB of which 143.12 MiB is free. Including non-PyTorch memory, this process has 21.89 GiB memory in use. Of the allocated memory 21.66 GiB is allocated by PyTorch, and 45.40 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)