Add vLLM-Omni library info to Hugging Face Hub requests (#5381)

Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
Co-authored-by: Hongsheng Liu <liuhongsheng4@huawei.com>
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>

vllm_omni/diffusion/models/ltx2/ltx2_components.py

@@ -20,7 +20,6 @@ from diffusers.pipelines.ltx2 import LTX2TextConnectors
 from diffusers.pipelines.ltx2.latent_upsampler import LTX2LatentUpsamplerModel
 from diffusers.pipelines.ltx2.vocoder import LTX2Vocoder
 from diffusers.video_processor import VideoProcessor
-from huggingface_hub import hf_hub_download
 from safetensors import safe_open
 from safetensors.torch import load_file
 from transformers import AutoModelForImageTextToText, AutoTokenizer, Gemma3ForConditionalGeneration
@@ -32,6 +31,7 @@ from vllm_omni.diffusion.distributed.utils import get_local_device
 from vllm_omni.diffusion.model_loader.diffusers_loader import DiffusersPipelineLoader
 from vllm_omni.diffusion.model_loader.hub_prefetch import from_pretrained_with_prefetch, prefetch_subfolders
 from vllm_omni.diffusion.offloader.module_collector import ModuleDiscovery
+from vllm_omni.transformers_utils.repo_utils import hf_api
 
 if TYPE_CHECKING:
     from vllm.model_executor.layers.quantization.base_config import QuantizationConfig
@@ -279,7 +279,7 @@ def resolve_ltx_artifact(
     # independently pinned artifact revision.
     revision = model_revision if model == repo_id else artifact_revision
     try:
-        return hf_hub_download(
+        return hf_api().hf_hub_download(
             repo_id=repo_id,
             filename=filename,
             revision=revision,
@@ -351,7 +351,7 @@ def _load_ltx_metadata_json(model: str, filename: str, revision: str | None = No
             return {}
     else:
         try:
-            path = hf_hub_download(repo_id=model, filename=filename, revision=revision)
+            path = hf_api().hf_hub_download(repo_id=model, filename=filename, revision=revision)
         except Exception:
             return {}
     try:
@@ -529,7 +529,7 @@ def _detect_vocoder_output_sample_rate(model: str, revision: str | None = None)
     vocoder_config_path = os.path.join(model, "vocoder", "config.json")
     if not os.path.exists(vocoder_config_path):
         try:
-            vocoder_config_path = hf_hub_download(model, "vocoder/config.json", revision=revision)
+            vocoder_config_path = hf_api().hf_hub_download(model, "vocoder/config.json", revision=revision)
         except Exception:
             return None
     try:
@@ -839,7 +839,7 @@ def load_transformer_config(
         if not os.path.exists(config_path):
             raise FileNotFoundError(f"LTX transformer config not found: {config_path}")
     else:
-        config_path = hf_hub_download(
+        config_path = hf_api().hf_hub_download(
             repo_id=model_path,
             filename=f"{subfolder}/config.json",
             revision=revision,