Pretrained Model of Amphion VITS

We provide the pre-trained checkpoint of VITS trained on LJSpeech, which consists of 13,100 short audio clips of a single speaker and have a total length of approximately 24 hours.

Quick Start

To utilize the pretrained models, just run the following commands:

Step1: Download the checkpoint

git lfs install
git clone https://huggingface.co/amphion/vits_ljspeech

Step2: Clone the Amphion's Source Code of GitHub

git clone https://github.com/open-mmlab/Amphion.git

Step3: Specify the checkpoint's path

Use the soft link to specify the downloaded checkpoint in the first step:

cd Amphion
mkdir -p ckpts/tts
ln -s  ../../../vits_ljspeech  ckpts/tts/

Step4: Inference

You can follow the inference part of this recipe to generate speech from text. For example, if you want to synthesize a clip of speech with the text of "This is a clip of generated speech with the given text from a TTS model.", just, run:

sh egs/tts/VITS/run.sh --stage 3 --gpu "0" \
    --config ckpts/tts/vits_ljspeech/args.json \
    --infer_expt_dir ckpts/tts/vits_ljspeech/ \
    --infer_output_dir ckpts/tts/vits_ljspeech/result \
    --infer_mode "single" \
    --infer_text "This is a clip of generated speech with the given text from a TTS model."