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base_model: LunaFox/DraculaFlow-TTS
language:
- en
library_name: mlx
license: apache-2.0
pipeline_tag: text-to-speech
tags:
- mlx
- text-to-speech
- audio
- tts
---
# DraculaFlow-TTS-mlx
This repository contains the MLX-converted weights for **DraculaFlow-TTS**, optimized for fast inference on Apple Silicon using [mlx-audio](https://github.com/Blaizzy/mlx-audio).
* **Original Hugging Face Model**: [LunaFox/DraculaFlow-TTS](https://huggingface.co/LunaFox/DraculaFlow-TTS)
---
## Installation
Install `mlx-audio`:
```bash
pip install mlx-audio
```
---
## Usage
### 1. Command Line Interface (CLI)
Generate audio clips directly from the terminal using `mlx_audio.tts.generate`:
```bash
python -m mlx_audio.tts.generate \
--model LunaFox/DraculaFlow-TTS-mlx \
--text "We are smoking joint out of a custom carved bong." \
--voice dracula_flow \
--output_path ./output.wav
```
To play the audio immediately upon generation, add the `--play` flag:
```bash
python -m mlx_audio.tts.generate \
--model LunaFox/DraculaFlow-TTS-mlx \
--text "This shit ain't nothing to me man." \
--voice dracula_flow \
--play
```
### 2. Python API
You can also generate audio clips within a Python script:
```python
from mlx_audio.tts.generate import generate_audio
generate_audio(
text="We are smoking joint out of a custom carved bong.",
model="LunaFox/DraculaFlow-TTS-mlx",
voice="dracula_flow",
output_path="./output.wav",
)
```
---
## Details
* **Architecture**: Qwen3 TTS (`qwen3_tts`)
* **Speaker Voice ID**: `dracula_flow`
* **Framework**: [MLX](https://github.com/ml-explore/mlx) / [mlx-audio](https://github.com/Blaizzy/mlx-audio)
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