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

black-forest-labs_FLUX.1-Kontext-dev_1.txt

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+```CODE: 
+from diffusers import DiffusionPipeline
+from diffusers.utils import load_image
+
+pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-Kontext-dev")
+
+prompt = "Turn this cat into a dog"
+input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
+
+image = pipe(image=input_image, prompt=prompt).images[0]
+```
+
+ERROR: 
+Traceback (most recent call last):
+  File "/tmp/.cache/uv/environments-v2/ca96a1cdc2ecd6c7/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/ca96a1cdc2ecd6c7/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/ca96a1cdc2ecd6c7/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-Kontext-dev_1W1IjY3.py", line 19, in <module>
+    pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-Kontext-dev")
+  File "/tmp/.cache/uv/environments-v2/ca96a1cdc2ecd6c7/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/ca96a1cdc2ecd6c7/lib/python3.13/site-packages/diffusers/pipelines/pipeline_utils.py", line 1025, 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/ca96a1cdc2ecd6c7/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/ca96a1cdc2ecd6c7/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/ca96a1cdc2ecd6c7/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/ca96a1cdc2ecd6c7/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.
+