chore: updates

examples/dynamo/torch_export_flux_dev.py

@@ -13,7 +13,7 @@
 
 .. code-block:: python
 
-    pip install -r requirements.txt
+    pip install sentencepiece=="0.2.0" transformers=="4.48.2" accelerate=="1.3.0" diffusers=="0.32.2"
 
 There are different components of the ``FLUX.1-dev`` pipeline such as ``transformer``, ``vae``, ``text_encoder``, ``tokenizer`` and ``scheduler``. In this example,
 we demonstrate optimizing the ``transformer`` component of the model (which typically consumes >95% of the e2e diffusion latency)