feat: add OmniVoiceModelLoader node

Implements OmniVoiceModelLoader with INPUT_TYPES, RETURN_TYPES, and
load_model supporting both HuggingFace auto-download and local path
sources. Adds TDD test suite and pytest infrastructure (conftest.py,
pytest.ini) to enable testing outside ComfyUI without omnivoice installed.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

__init__.py

@@ -1,13 +1,18 @@
-from .nodes import OmniVoiceModelLoader, OmniVoiceGenerate
+try:
+    from .nodes import OmniVoiceModelLoader, OmniVoiceGenerate
 
-NODE_CLASS_MAPPINGS = {
-    "OmniVoiceModelLoader": OmniVoiceModelLoader,
-    "OmniVoiceGenerate": OmniVoiceGenerate,
-}
+    NODE_CLASS_MAPPINGS = {
+        "OmniVoiceModelLoader": OmniVoiceModelLoader,
+        "OmniVoiceGenerate": OmniVoiceGenerate,
+    }
 
-NODE_DISPLAY_NAME_MAPPINGS = {
-    "OmniVoiceModelLoader": "OmniVoice Model Loader",
-    "OmniVoiceGenerate": "OmniVoice Generate",
-}
+    NODE_DISPLAY_NAME_MAPPINGS = {
+        "OmniVoiceModelLoader": "OmniVoice Model Loader",
+        "OmniVoiceGenerate": "OmniVoice Generate",
+    }
+except ImportError:
+    # Graceful fallback when loaded outside of a package context (e.g. pytest)
+    NODE_CLASS_MAPPINGS = {}
+    NODE_DISPLAY_NAME_MAPPINGS = {}
 
 __all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS"]

conftest.py

@@ -0,0 +1,6 @@
+import sys
+import os
+
+# Ensure the project root is on sys.path so `nodes.loader` can be imported
+# as a top-level package without needing to install the package.
+sys.path.insert(0, os.path.dirname(__file__))

nodes/loader.py

@@ -1,2 +1,63 @@
+import os
+import torch
+
+try:
+    from omnivoice import OmniVoice
+except ImportError:
+    OmniVoice = None  # type: ignore[assignment,misc]
+
+try:
+    import folder_paths
+    CACHE_DIR = os.path.join(folder_paths.models_dir, "omnivoice")
+except ImportError:
+    CACHE_DIR = os.path.join(os.path.expanduser("~"), ".cache", "omnivoice")
+
+
+DTYPE_MAP = {
+    "float16": torch.float16,
+    "bfloat16": torch.bfloat16,
+    "float32": torch.float32,
+}
+
+
 class OmniVoiceModelLoader:
-    pass
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "model_source": (
+                    ["Auto-download (HuggingFace)", "Local path"],
+                    {"default": "Auto-download (HuggingFace)"},
+                ),
+                "device": (
+                    ["cuda:0", "cuda:1", "cpu"],
+                    {"default": "cuda:0"},
+                ),
+                "dtype": (
+                    ["float16", "bfloat16", "float32"],
+                    {"default": "float16"},
+                ),
+            },
+            "optional": {
+                "local_path": ("STRING", {"default": ""}),
+            },
+        }
+
+    RETURN_TYPES = ("OMNIVOICE_MODEL",)
+    RETURN_NAMES = ("model",)
+    FUNCTION = "load_model"
+    CATEGORY = "OmniVoice"
+
+    def load_model(self, model_source, device, dtype, local_path=""):
+        if model_source == "Local path" and local_path:
+            source = local_path
+        else:
+            source = "k2-fsa/OmniVoice"
+
+        model = OmniVoice.from_pretrained(
+            source,
+            device_map=device,
+            dtype=DTYPE_MAP[dtype],
+            cache_dir=CACHE_DIR,
+        )
+        return (model,)

pytest.ini

@@ -0,0 +1,3 @@
+[pytest]
+testpaths = tests
+addopts = --import-mode=importlib

tests/test_loader.py

@@ -0,0 +1,59 @@
+# tests/test_loader.py
+from unittest.mock import patch, MagicMock
+import torch
+import pytest
+from nodes.loader import OmniVoiceModelLoader
+
+
+def test_input_types_structure():
+    inputs = OmniVoiceModelLoader.INPUT_TYPES()
+    required = inputs["required"]
+    assert "model_source" in required
+    assert "device" in required
+    assert "dtype" in required
+    optional = inputs.get("optional", {})
+    assert "local_path" in optional
+
+
+def test_input_types_model_source_choices():
+    inputs = OmniVoiceModelLoader.INPUT_TYPES()
+    choices = inputs["required"]["model_source"][0]
+    assert "Auto-download (HuggingFace)" in choices
+    assert "Local path" in choices
+
+
+def test_return_type():
+    assert OmniVoiceModelLoader.RETURN_TYPES == ("OMNIVOICE_MODEL",)
+
+
+def test_load_model_auto_download():
+    loader = OmniVoiceModelLoader()
+    mock_model = MagicMock()
+    with patch("nodes.loader.OmniVoice") as MockOmniVoice:
+        MockOmniVoice.from_pretrained.return_value = mock_model
+        result = loader.load_model(
+            model_source="Auto-download (HuggingFace)",
+            device="cpu",
+            dtype="float32",
+            local_path="",
+        )
+    assert result == (mock_model,)
+    MockOmniVoice.from_pretrained.assert_called_once()
+    call_kwargs = MockOmniVoice.from_pretrained.call_args
+    assert call_kwargs[0][0] == "k2-fsa/OmniVoice"
+
+
+def test_load_model_local_path():
+    loader = OmniVoiceModelLoader()
+    mock_model = MagicMock()
+    with patch("nodes.loader.OmniVoice") as MockOmniVoice:
+        MockOmniVoice.from_pretrained.return_value = mock_model
+        result = loader.load_model(
+            model_source="Local path",
+            device="cpu",
+            dtype="float32",
+            local_path="/some/local/path",
+        )
+    assert result == (mock_model,)
+    call_args = MockOmniVoice.from_pretrained.call_args[0][0]
+    assert call_args == "/some/local/path"