Use canonical T5 repository for Xet downloads

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "comfyui-meta-sam-audio"
-version = "0.3.0"
+version = "0.3.1"
 description = "Native ComfyUI nodes for local Meta SAM-Audio sound separation"
 readme = "README.md"
 requires-python = ">=3.11"

sam_audio_comfy/runtime.py

@@ -94,7 +94,7 @@ MIRROR_MODELS = {
 # snapshots once, then pass local paths upstream to prevent repeated Hub checks.
 SUPPORT_MODELS = {
     "t5-base": SupportModelSpec(
-        "t5-base",
+        "google-t5/t5-base",
         "a9723ea7f1b39c1eae772870f3b547bf6ef7e6c1",
         ("config.json", "model.safetensors", "spiece.model", "tokenizer.json"),
     ),

tests/test_runtime.py

@@ -248,9 +248,10 @@ def test_model_kwargs_resolve_t5_but_defer_span_predictor(tmp_path, monkeypatch)
     kwargs = runtime._sam_audio_model_kwargs(tmp_path)
 
     assert kwargs["text_encoder"] == {
-        "name": "/cache/t5-base",
+        "name": "/cache/google-t5--t5-base",
         "dim": 768,
     }
+    assert runtime.SUPPORT_MODELS["t5-base"].repo_id == "google-t5/t5-base"
     assert kwargs["span_predictor"] is None
     assert runtime._configured_span_predictor(tmp_path) == "pe-a-frame-large"
     assert kwargs["text_ranker"] is None