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

black-forest-labs_FLUX.1-dev_1.txt

@@ -1,7 +1,9 @@
 ```CODE: 
+import torch
 from diffusers import DiffusionPipeline
 
-pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev")
+# switch to "mps" for apple devices
+pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
 
 prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
 image = pipe(prompt).images[0]
@@ -9,29 +11,8 @@ image = pipe(prompt).images[0]
 
 ERROR: 
 Traceback (most recent call last):
-  File "/tmp/.cache/uv/environments-v2/b90b3a1935bc74f7/lib/python3.13/site-packages/transformers/tokenization_utils_base.py", line 2343, in _from_pretrained
-    tokenizer = cls(*init_inputs, **init_kwargs)
-  File "/tmp/.cache/uv/environments-v2/b90b3a1935bc74f7/lib/python3.13/site-packages/transformers/models/t5/tokenization_t5_fast.py", line 119, in __init__
-    super().__init__(
-    ~~~~~~~~~~~~~~~~^
-        vocab_file=vocab_file,
-        ^^^^^^^^^^^^^^^^^^^^^^
-    ...<7 lines>...
-        **kwargs,
-        ^^^^^^^^^
-    )
-    ^
-  File "/tmp/.cache/uv/environments-v2/b90b3a1935bc74f7/lib/python3.13/site-packages/transformers/tokenization_utils_fast.py", line 108, in __init__
-    raise ValueError(
-    ...<2 lines>...
-    )
-ValueError: Cannot instantiate this tokenizer from a slow version. If it's based on sentencepiece, make sure you have sentencepiece installed.
-
-During handling of the above exception, another exception occurred:
-
-Traceback (most recent call last):
-  File "/tmp/black-forest-labs_FLUX.1-dev_19ZWWzp.py", line 18, in <module>
-    pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev")
+  File "/tmp/black-forest-labs_FLUX.1-dev_1jIfTh2.py", line 25, 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
     return fn(*args, **kwargs)
   File "/tmp/.cache/uv/environments-v2/b90b3a1935bc74f7/lib/python3.13/site-packages/diffusers/pipelines/pipeline_utils.py", line 1025, in from_pretrained
@@ -42,23 +23,21 @@ Traceback (most recent call last):
     )
   File "/tmp/.cache/uv/environments-v2/b90b3a1935bc74f7/lib/python3.13/site-packages/diffusers/pipelines/pipeline_loading_utils.py", line 860, 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/transformers/tokenization_utils_base.py", line 2097, in from_pretrained
-    return cls._from_pretrained(
-           ~~~~~~~~~~~~~~~~~~~~^
-        resolved_vocab_files,
-        ^^^^^^^^^^^^^^^^^^^^^
-    ...<9 lines>...
-        **kwargs,
-        ^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/b90b3a1935bc74f7/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/b90b3a1935bc74f7/lib/python3.13/site-packages/diffusers/models/modeling_utils.py", line 1288, in from_pretrained
+    ) = cls._load_pretrained_model(
+        ~~~~~~~~~~~~~~~~~~~~~~~~~~^
+        model,
+        ^^^^^^
+    ...<13 lines>...
+        is_parallel_loading_enabled=is_parallel_loading_enabled,
+        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
     )
     ^
-  File "/tmp/.cache/uv/environments-v2/b90b3a1935bc74f7/lib/python3.13/site-packages/transformers/tokenization_utils_base.py", line 2344, in _from_pretrained
-    except import_protobuf_decode_error():
-           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
-  File "/tmp/.cache/uv/environments-v2/b90b3a1935bc74f7/lib/python3.13/site-packages/transformers/tokenization_utils_base.py", line 87, in import_protobuf_decode_error
-    raise ImportError(PROTOBUF_IMPORT_ERROR.format(error_message))
-ImportError: 
- requires the protobuf library but it was not found in your environment. Check out the instructions on the
-installation page of its repo: https://github.com/protocolbuffers/protobuf/tree/master/python#installation and follow the ones
-that match your environment. Please note that you may need to restart your runtime after installation.
-
+  File "/tmp/.cache/uv/environments-v2/b90b3a1935bc74f7/lib/python3.13/site-packages/diffusers/models/modeling_utils.py", line 1537, in _load_pretrained_model
+    _caching_allocator_warmup(model, expanded_device_map, dtype, hf_quantizer)
+    ~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/b90b3a1935bc74f7/lib/python3.13/site-packages/diffusers/models/model_loading_utils.py", line 754, 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 21.84 GiB is free. Including non-PyTorch memory, this process has 186.00 MiB memory in use. Of the allocated memory 0 bytes is allocated by PyTorch, and 0 bytes 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)