diff --git a/tests/diffusion/distributed/test_sequence_parallel.py b/tests/diffusion/distributed/test_sequence_parallel.py
index 9f76b3b75c5..f39bfd82a94 100644
--- a/tests/diffusion/distributed/test_sequence_parallel.py
+++ b/tests/diffusion/distributed/test_sequence_parallel.py
@@ -291,8 +291,7 @@ def test_sp_correctness(model_name: str):
     print("=" * 70)
 
 
-# TODO: After PR#1272 is merged, add markers
-# @pytest.mark.advanced_model
+@pytest.mark.advanced_model
 @pytest.mark.diffusion
 @pytest.mark.parallel
 @hardware_test(res={"cuda": "L4", "rocm": "MI325"}, num_cards={"cuda": 4, "rocm": 2})
diff --git a/vllm_omni/diffusion/model_loader/gguf_adapters/base.py b/vllm_omni/diffusion/model_loader/gguf_adapters/base.py
index 3bc38f16d96..5dc48f9a4c3 100644
--- a/vllm_omni/diffusion/model_loader/gguf_adapters/base.py
+++ b/vllm_omni/diffusion/model_loader/gguf_adapters/base.py
@@ -54,7 +54,7 @@ def weights_iterator(self) -> Generator[tuple[str, torch.Tensor], None, None]:
         raise NotImplementedError
 
 
-# FIXME(Isotr0py): Sync implemnentation with upstream vLLM?
+# FIXME(Isotr0py): Sync implementation with upstream vLLM?
 def gguf_quant_weights_iterator(gguf_file: str) -> Generator[tuple[str, torch.Tensor]]:
     """
     Iterate over the quant weights in the model gguf files and convert