[skip ci][Doc] Remove obsolete DiffusionParallelConfig in many example scripts (#6347)

Signed-off-by: Huang, Zeyu <11222265+fhfuih@users.noreply.github.com>
Co-authored-by: Hongsheng Liu <liuhongsheng4@huawei.com>

examples/offline_inference/diffusion/lingbot_world_v2.py

@@ -154,8 +154,6 @@ def _positive_finite(value: float, flag: str) -> float:
 def build_omni_kwargs(
     args: argparse.Namespace,
     paths: LingBotPaths,
-    *,
-    parallel_config: Any,
 ) -> dict[str, Any]:
     """Build Omni configuration without overriding checkpoint class discovery."""
 
@@ -167,7 +165,7 @@ def build_omni_kwargs(
     return {
         "model": model,
         "flow_shift": flow_shift,
-        "parallel_config": parallel_config,
+        "tensor_parallel_size": args.tensor_parallel_size,
         "enforce_eager": args.enforce_eager,
         "model_config": {"lingbot_action_root": str(paths.action_root)},
     }
@@ -262,12 +260,10 @@ def main(argv: Sequence[str] | None = None) -> Path:
     # helper tests work on machines without the native vLLM runtime.
     from diffusers.utils import export_to_video
 
-    from vllm_omni.diffusion.data import DiffusionParallelConfig
     from vllm_omni.entrypoints.omni import Omni
     from vllm_omni.inputs.data import OmniDiffusionSamplingParams
 
-    parallel_config = DiffusionParallelConfig(tensor_parallel_size=args.tensor_parallel_size)
-    omni_kwargs = build_omni_kwargs(args, paths, parallel_config=parallel_config)
+    omni_kwargs = build_omni_kwargs(args, paths)
     omni = Omni(**omni_kwargs)
     try:
         outputs = omni.generate(

examples/offline_inference/diffusion/lingbot_world_v2_realtime.py

@@ -125,7 +125,6 @@ async def run(argv: Sequence[str] | None = None) -> Path:
     # require a CUDA-enabled vLLM installation.
     import torch
 
-    from vllm_omni.diffusion.data import DiffusionParallelConfig
     from vllm_omni.diffusion.models.lingbot_world.actions import LingBotCameraControlReducer
     from vllm_omni.entrypoints.async_omni import AsyncOmni
     from vllm_omni.experimental.ar_diffusion.consumer import ARDiffusionOmniTickConsumer
@@ -141,7 +140,7 @@ async def run(argv: Sequence[str] | None = None) -> Path:
         model=args.model,
         engine_backend="vllm_omni.experimental.ar_diffusion.engine.ARDiffusionEngine",
         enforce_eager=args.enforce_eager,
-        parallel_config=DiffusionParallelConfig(tensor_parallel_size=args.tensor_parallel_size),
+        tensor_parallel_size=args.tensor_parallel_size,
         max_num_seqs=1,
         model_config={
             "ar_diffusion_height": args.height,