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examples/dynamo/torch_export_flux_dev.py

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.. code-block:: python
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pip install -r requirements.txt
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pip install sentencepiece=="0.2.0" transformers=="4.48.2" accelerate=="1.3.0" diffusers=="0.32.2"
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There are different components of the ``FLUX.1-dev`` pipeline such as ``transformer``, ``vae``, ``text_encoder``, ``tokenizer`` and ``scheduler``. In this example,
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we demonstrate optimizing the ``transformer`` component of the model (which typically consumes >95% of the e2e diffusion latency)

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