| ```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. | |