reformatted

Author: prishajain1

src/maxdiffusion/models/ltx2/ltx2_utils.py

@@ -313,7 +313,6 @@ def load_vae_weights(
       flax_key, flax_tensor = rename_key_and_reshape_tensor(pt_tuple_key, tensor, random_flax_state_dict)
       flax_key = _tuple_str_to_int(flax_key)
 
-
       if resnet_index is not None:
         if flax_key in flax_state_dict:
           current_tensor = flax_state_dict[flax_key]

src/maxdiffusion/pipelines/ltx2/ltx2_pipeline.py

@@ -665,7 +665,6 @@ def quantize_transformer(cls, config: HyperParameters, model: Any, pipeline: "LT
     max_logging.log("Qwix Quantization complete.")
     return quantized_model
 
-
   def _get_gemma_prompt_embeds(
       self,
       prompt: Union[str, List[str]],