File size: 3,333 Bytes
e3866bb 1f13caf | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 | ```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.
|