```CODE: 
from diffusers import DiffusionPipeline

pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
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_1xD8pZN.py", line 18, in <module>
    pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev")
  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
    loaded_sub_model = load_sub_model(
        library_name=library_name,
    ...<21 lines>...
        quantization_config=quantization_config,
    )
  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/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.