| ```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. |
|
|
|
|
