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Everything was good in black-forest-labs_FLUX.1-Kontext-dev_0.txt
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Everything was good in black-forest-labs_FLUX.1-dev_0.txt
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```CODE:
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from diffusers import DiffusionPipeline
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pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev")
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prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
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image = pipe(prompt).images[0]
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```
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ERROR:
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Traceback (most recent call last):
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File "/tmp/.cache/uv/environments-v2/b90b3a1935bc74f7/lib/python3.13/site-packages/transformers/tokenization_utils_base.py", line 2343, in _from_pretrained
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tokenizer = cls(*init_inputs, **init_kwargs)
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File "/tmp/.cache/uv/environments-v2/b90b3a1935bc74f7/lib/python3.13/site-packages/transformers/models/t5/tokenization_t5_fast.py", line 119, in __init__
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super().__init__(
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~~~~~~~~~~~~~~~~^
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vocab_file=vocab_file,
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^^^^^^^^^^^^^^^^^^^^^^
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...<7 lines>...
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**kwargs,
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^^^^^^^^^
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)
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^
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File "/tmp/.cache/uv/environments-v2/b90b3a1935bc74f7/lib/python3.13/site-packages/transformers/tokenization_utils_fast.py", line 108, in __init__
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raise ValueError(
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...<2 lines>...
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)
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ValueError: Cannot instantiate this tokenizer from a slow version. If it's based on sentencepiece, make sure you have sentencepiece installed.
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During handling of the above exception, another exception occurred:
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Traceback (most recent call last):
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File "/tmp/black-forest-labs_FLUX.1-dev_1xD8pZN.py", line 18, in <module>
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pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev")
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File "/tmp/.cache/uv/environments-v2/b90b3a1935bc74f7/lib/python3.13/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
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return fn(*args, **kwargs)
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File "/tmp/.cache/uv/environments-v2/b90b3a1935bc74f7/lib/python3.13/site-packages/diffusers/pipelines/pipeline_utils.py", line 1025, in from_pretrained
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loaded_sub_model = load_sub_model(
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library_name=library_name,
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...<21 lines>...
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quantization_config=quantization_config,
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)
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File "/tmp/.cache/uv/environments-v2/b90b3a1935bc74f7/lib/python3.13/site-packages/diffusers/pipelines/pipeline_loading_utils.py", line 860, in load_sub_model
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loaded_sub_model = load_method(os.path.join(cached_folder, name), **loading_kwargs)
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File "/tmp/.cache/uv/environments-v2/b90b3a1935bc74f7/lib/python3.13/site-packages/transformers/tokenization_utils_base.py", line 2097, in from_pretrained
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return cls._from_pretrained(
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~~~~~~~~~~~~~~~~~~~~^
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resolved_vocab_files,
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^^^^^^^^^^^^^^^^^^^^^
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...<9 lines>...
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**kwargs,
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^^^^^^^^^
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)
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^
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File "/tmp/.cache/uv/environments-v2/b90b3a1935bc74f7/lib/python3.13/site-packages/transformers/tokenization_utils_base.py", line 2344, in _from_pretrained
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except import_protobuf_decode_error():
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
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File "/tmp/.cache/uv/environments-v2/b90b3a1935bc74f7/lib/python3.13/site-packages/transformers/tokenization_utils_base.py", line 87, in import_protobuf_decode_error
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raise ImportError(PROTOBUF_IMPORT_ERROR.format(error_message))
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ImportError:
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requires the protobuf library but it was not found in your environment. Check out the instructions on the
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installation page of its repo: https://github.com/protocolbuffers/protobuf/tree/master/python#installation and follow the ones
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that match your environment. Please note that you may need to restart your runtime after installation.
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