Upload black-forest-labs_FLUX.1-dev_1.txt with huggingface_hub

black-forest-labs_FLUX.1-dev_1.txt

@@ -11,9 +11,9 @@ image = pipe(prompt).images[0]
 
 ERROR: 
 Traceback (most recent call last):
-  File "/tmp/black-forest-labs_FLUX.1-dev_1LWeolY.py", line 27, in <module>
+  File "/tmp/black-forest-labs_FLUX.1-dev_1TR5ZcU.py", line 27, in <module>
     pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
-  File "/tmp/.cache/uv/environments-v2/b90b3a1935bc74f7/lib/python3.13/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
+  File "/tmp/.cache/uv/environments-v2/b90b3a1935bc74f7/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/b90b3a1935bc74f7/lib/python3.13/site-packages/diffusers/pipelines/pipeline_utils.py", line 1021, in from_pretrained
     loaded_sub_model = load_sub_model(
@@ -23,7 +23,7 @@ Traceback (most recent call last):
     )
   File "/tmp/.cache/uv/environments-v2/b90b3a1935bc74f7/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/b90b3a1935bc74f7/lib/python3.13/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
+  File "/tmp/.cache/uv/environments-v2/b90b3a1935bc74f7/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/b90b3a1935bc74f7/lib/python3.13/site-packages/diffusers/models/modeling_utils.py", line 1296, in from_pretrained
     ) = cls._load_pretrained_model(
@@ -40,4 +40,4 @@ Traceback (most recent call last):
     ~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
   File "/tmp/.cache/uv/environments-v2/b90b3a1935bc74f7/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 22.17 GiB. GPU 0 has a total capacity of 22.03 GiB of which 3.17 GiB is free. Including non-PyTorch memory, this process has 18.85 GiB memory in use. Of the allocated memory 18.51 GiB is allocated by PyTorch, and 161.04 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 22.17 GiB. GPU 0 has a total capacity of 22.03 GiB of which 10.52 GiB is free. Including non-PyTorch memory, this process has 11.50 GiB memory in use. Of the allocated memory 11.30 GiB is allocated by PyTorch, and 27.40 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)