Instructions to use mlx-community/Irodori-TTS-500M-v2-VoiceDesign-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Irodori-TTS-500M-v2-VoiceDesign-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Irodori-TTS-500M-v2-VoiceDesign-4bit mlx-community/Irodori-TTS-500M-v2-VoiceDesign-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
mlx-community/Irodori-TTS-500M-v2-VoiceDesign-4bit
This model was converted to MLX format from Aratako/Irodori-TTS-500M-v2-VoiceDesign using mlx-audio version 0.4.3.
Refer to the original model card for more details on the model.
The VoiceDesign variant generates speech conditioned on a text description of the desired voice instead of a reference audio clip.
Use with mlx-audio
pip install -U mlx-audio
CLI Example
python -m mlx_audio.tts.generate \
--model mlx-community/Irodori-TTS-500M-v2-VoiceDesign-4bit \
--text "こんにちは、テストです。" \
--instruct "穏やかで落ち着いた女性の声。ゆっくりと話す。"
Python Example
from mlx_audio.tts.generate import generate_audio
generate_audio(
model="mlx-community/Irodori-TTS-500M-v2-VoiceDesign-4bit",
text="こんにちは、テストです。",
instruct="穏やかで落ち着いた女性の声。ゆっくりと話す。",
file_prefix="output",
)
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Model size
0.2B params
Tensor type
U32
·
F16 ·
Hardware compatibility
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