Upload FireRedTeam_FireRed-Image-Edit-1.1_0.txt with huggingface_hub

FireRedTeam_FireRed-Image-Edit-1.1_0.txt

@@ -14,33 +14,33 @@ image = pipe(image=input_image, prompt=prompt).images[0]
 
 ERROR: 
 Traceback (most recent call last):
-  File "/tmp/FireRedTeam_FireRed-Image-Edit-1.1_0LW6ns0.py", line 28, in <module>
+  File "/tmp/FireRedTeam_FireRed-Image-Edit-1.1_0iZMQUp.py", line 28, in <module>
     pipe = DiffusionPipeline.from_pretrained("FireRedTeam/FireRed-Image-Edit-1.1", dtype=torch.bfloat16, device_map="cuda")
   File "/tmp/.cache/uv/environments-v2/5f991ed4fb3ad9cc/lib/python3.13/site-packages/huggingface_hub/utils/_validators.py", line 89, in _inner_fn
     return fn(*args, **kwargs)
-  File "/tmp/.cache/uv/environments-v2/5f991ed4fb3ad9cc/lib/python3.13/site-packages/diffusers/pipelines/pipeline_utils.py", line 1021, in from_pretrained
+  File "/tmp/.cache/uv/environments-v2/5f991ed4fb3ad9cc/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-v2/5f991ed4fb3ad9cc/lib/python3.13/site-packages/diffusers/pipelines/pipeline_loading_utils.py", line 876, in load_sub_model
+  File "/tmp/.cache/uv/environments-v2/5f991ed4fb3ad9cc/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-v2/5f991ed4fb3ad9cc/lib/python3.13/site-packages/huggingface_hub/utils/_validators.py", line 89, in _inner_fn
     return fn(*args, **kwargs)
-  File "/tmp/.cache/uv/environments-v2/5f991ed4fb3ad9cc/lib/python3.13/site-packages/diffusers/models/modeling_utils.py", line 1296, in from_pretrained
+  File "/tmp/.cache/uv/environments-v2/5f991ed4fb3ad9cc/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-v2/5f991ed4fb3ad9cc/lib/python3.13/site-packages/diffusers/models/modeling_utils.py", line 1635, in _load_pretrained_model
+  File "/tmp/.cache/uv/environments-v2/5f991ed4fb3ad9cc/lib/python3.13/site-packages/diffusers/models/modeling_utils.py", line 1652, in _load_pretrained_model
     _caching_allocator_warmup(model, expanded_device_map, dtype, hf_quantizer)
     ~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/tmp/.cache/uv/environments-v2/5f991ed4fb3ad9cc/lib/python3.13/site-packages/diffusers/models/model_loading_utils.py", line 751, in _caching_allocator_warmup
+  File "/tmp/.cache/uv/environments-v2/5f991ed4fb3ad9cc/lib/python3.13/site-packages/diffusers/models/model_loading_utils.py", line 758, in _caching_allocator_warmup
     _ = torch.empty(warmup_elems, dtype=dtype, device=device, requires_grad=False)
-torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 38.05 GiB. GPU 0 has a total capacity of 22.03 GiB of which 5.91 GiB is free. Including non-PyTorch memory, this process has 16.11 GiB memory in use. Of the allocated memory 15.93 GiB is allocated by PyTorch, and 3.98 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 38.05 GiB. GPU 0 has a total capacity of 22.03 GiB of which 5.91 GiB is free. Including non-PyTorch memory, this process has 16.11 GiB memory in use. Of the allocated memory 15.93 GiB is allocated by PyTorch, and 2.12 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)