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modus-tts
petrusilius/modus-tts
modus-tts is a text-to-speech model from petrusilius. Use it when you need text read aloud. It is set up for piper. The card lists the license as mit.
Piper TTS voice trained on MODUS dialogue from Fallout 76.
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.onnx457 MB · 100%
At a glance
- Task
- Text-to-Speech
- Library
- piper
- License
- mit
- Access
- Public
- Created
- Mar 18, 2026
- Updated
- Sep 19, 2026
- SHA
- 48c7f98d
Model card
From the Hugging Face model README
MODUS TTS — Fallout 76 Voice Model
Piper TTS voice trained on MODUS dialogue from Fallout 76.
Models
| File | Epochs | Training samples |
|---|---|---|
modus_10000.onnx | 10,000 | 421 voice lines |
modus_10000_v2.onnx | 10,000 | 682 voice lines |
Both share the same base, settings and hardware. The voice character is near-identical; v2 is noticeably more robust and slurs less, especially on words outside the training vocabulary. Use v2.
Specs
| Property | Value |
|---|---|
| Base checkpoint | en_US-lessac-high |
| Quality | high |
| Sample rate | 22,050 Hz |
| Format | ONNX |
| Language | English |
| Batch size | 8 |
| Precision | 16-bit AMP |
| GPU | NVIDIA RTX A2000 12GB |
| Training time | ~4–5 days per run |
Training vocabulary: 1,984 unique words across 11,117 tokens. Median line length 17 words.
Usage
pip install piper-tts
wget https://huggingface.co/petrusilius/modus-tts/resolve/main/modus_10000_v2.onnx
wget https://huggingface.co/petrusilius/modus-tts/resolve/main/modus_10000_v2.onnx.json
Both files must sit in the same folder.
echo "We have you now, General." | \
piper --model modus_10000_v2.onnx --output_file output.wav
Useful flags:
| Flag | Effect |
|---|---|
--length_scale 1.3 | slower |
--length_scale 0.8 | faster |
--sentence_silence 0.5 | longer pause between sentences (default 0.2) |
Input notes
Plain text only, no SSML.
- Write numbers as words:
forty two, not42 - Spell out abbreviations:
General, notGen. - Use
...for mid-sentence pauses - Keep sentences short for better prosody
Limitations
- Mispronounces words absent from the training data. This is a vocabulary limit, not an epoch limit — more training does not fix it. Keep generated text close to the model's own register, or supply IPA via espeak-ng.
- Long unpunctuated sentences sound rushed.
- VITS samples at inference, so output varies slightly between runs on identical input.
Disclaimer
Non-commercial fan project. Fallout 76 and all related assets are property of Bethesda Softworks.
- Task
- Text-to-Speech
- Library
- piper
- License
- mit
- Languages
- en
- Created
- Mar 18, 2026
- Updated
- Sep 19, 2026