fix: named .npz files always start at _001

dog_bark_001.npz, dog_bark_002.npz instead of dog_bark.npz, dog_bark_001.npz.

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

LORA_TRAINING.md

@@ -34,7 +34,7 @@ For each video clip you want to train on:
 1. Load the video with a VHS LoadVideo node.
 2. Connect it to **SelVA Feature Extractor**.
 3. Set **`cache_dir`** to a dedicated dataset folder, e.g. `dataset/my_sound`.
-4. Set **`name`** to a short descriptive label, e.g. `dog_bark`. The node will save `dog_bark.npz`, then `dog_bark_001.npz`, `dog_bark_002.npz`, etc. automatically as you process more clips.
+4. Set **`name`** to a short descriptive label, e.g. `dog_bark`. The node will save `dog_bark_001.npz`, then `dog_bark_002.npz`, etc. automatically as you process more clips.
 5. Set the **`prompt`** to describe the sound (e.g. `a dog barking`). This prompt is used to condition the sync features — be specific.
 6. Optionally connect a **mask** to isolate the sound source in frame (recommended when the scene has multiple objects).
 
@@ -46,12 +46,12 @@ For each `.npz` file, place a matching audio file with the **same filename stem*
 
 ```
 dataset/my_sound/
-    dog_bark.npz       ← from SelVA Feature Extractor
-    dog_bark.wav       ← clean isolated audio recording
-    dog_bark_001.npz
-    dog_bark_001.wav
+    dog_bark_001.npz   ← from SelVA Feature Extractor
+    dog_bark_001.wav   ← clean isolated audio recording
     dog_bark_002.npz
     dog_bark_002.wav
+    dog_bark_003.npz
+    dog_bark_003.wav
 ```
 
 Supported audio formats: `.wav`, `.flac`, `.mp3`, `.ogg`, `.aiff`, `.aif`

nodes/selva_feature_extractor.py

@@ -72,9 +72,6 @@ def _resolve_named_path(cache_dir: str, name: str) -> str:
     """Return cache_dir/name.npz, incrementing to name_001.npz etc. if the file already exists."""
     # Sanitize: replace path separators so the name stays inside cache_dir
     name = name.replace("/", "_").replace("\\", "_").replace("\x00", "_")
-    base = os.path.join(cache_dir, f"{name}.npz")
-    if not os.path.exists(base):
-        return base
     i = 1
     while True:
         p = os.path.join(cache_dir, f"{name}_{i:03d}.npz")