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fix: named .npz files always start at _001

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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>
This commit is contained in:
Ethanfel
2026-04-05 15:44:26 +02:00
parent 89af5a468c
commit 63b4391573
2 changed files with 5 additions and 8 deletions
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LORA_TRAINING.md
+5 -5
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@@ -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`