ruff related checks

Author: prishajain1

src/maxdiffusion/generate_ltx2.py

@@ -83,7 +83,6 @@ def call_pipeline(config, pipeline, prompt, negative_prompt):
   # Set default generation arguments
   generator = jax.random.key(config.seed) if hasattr(config, "seed") else jax.random.key(0)
   guidance_scale = config.guidance_scale if hasattr(config, "guidance_scale") else 3.0
-  do_classifier_free_guidance = guidance_scale > 1.0
 
   out = pipeline(
       prompt=prompt,

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)
 
-      flax_key_str = [str(x) for x in flax_key]
 
       if resnet_index is not None:
         if flax_key in flax_state_dict:

src/maxdiffusion/pipelines/ltx2/ltx2_pipeline.py

@@ -665,26 +665,6 @@ def quantize_transformer(cls, config: HyperParameters, model: Any, pipeline: "LT
     max_logging.log("Qwix Quantization complete.")
     return quantized_model
 
-  @classmethod
-  def load_transformer(
-      cls,
-      devices_array: np.array,
-      mesh: Mesh,
-      rngs: nnx.Rngs,
-      config: HyperParameters,
-      restored_checkpoint=None,
-      subfolder="transformer",
-  ):
-    with mesh:
-      transformer = create_sharded_logical_transformer(
-          devices_array=devices_array,
-          mesh=mesh,
-          rngs=rngs,
-          config=config,
-          restored_checkpoint=restored_checkpoint,
-          subfolder=subfolder,
-      )
-    return transformer
 
   def _get_gemma_prompt_embeds(
       self,