OuteTTS-1.0
Collection
9 items • Updated • 1
How to use mlx-community/Llama-OuteTTS-1.0-1B-8bit with OuteTTS:
import outetts
enum = outetts.Models("mlx-community/Llama-OuteTTS-1.0-1B-8bit".split("/", 1)[1]) # VERSION_1_0_SIZE_1B
cfg = outetts.ModelConfig.auto_config(enum, outetts.Backend.HF)
tts = outetts.Interface(cfg)
speaker = tts.load_default_speaker("EN-FEMALE-1-NEUTRAL")
tts.generate(
outetts.GenerationConfig(
text="Hello there, how are you doing?",
speaker=speaker,
)
).save("output.wav")
How to use mlx-community/Llama-OuteTTS-1.0-1B-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Llama-OuteTTS-1.0-1B-8bit mlx-community/Llama-OuteTTS-1.0-1B-8bit
This model was converted to MLX format from OuteAI/Llama-OuteTTS-1.0-1B using mlx-audio version 0.2.2.
Refer to the original model card for more details on the model.
pip install -U mlx-audio
python -m mlx_audio.tts.generate --model mlx-community/Llama-OuteTTS-1.0-1B-8bit --text "Describe this image."
Quantized