---
title: vits_ljspeech
canonical_url: "https://www.modelscope.cn/models/AI-ModelScope/vits_ljspeech"
md_url: "https://www.modelscope.cn/models/AI-ModelScope/vits_ljspeech.md"
repository: AI-ModelScope/vits_ljspeech
last_updated: 2023-12-20
license: mit
language:
  - en
downloads: 31
stars: 0
---

# vits_ljspeech

> vits_ljspeech - AI-ModelScope 在 ModelScope 开源的模型。Pretrained Model of Amphion VITS

AI-ModelScope/vits_ljspeech 是 ModelScope 魔搭社区上的机器学习模型，采用 mit 许可。

- **Repository**: AI-ModelScope/vits_ljspeech
- **License**: mit
- **Downloads**: 31
- **Stars**: 0
- **Last updated**: 2023-12-20

Source: https://www.modelscope.cn/models/AI-ModelScope/vits_ljspeech

---

# Pretrained Model of Amphion VITS

We provide the pre-trained checkpoint of [VITS](https://github.com/open-mmlab/Amphion/tree/main/egs/tts/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
```bash
git lfs install
git clone https://huggingface.co/amphion/vits_ljspeech
```

### Step2: Clone the Amphion's Source Code of GitHub
```bash
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:

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

### Step4: Inference

You can follow the inference part of [this recipe](https://github.com/open-mmlab/Amphion/tree/main/egs/tts/VITS#4-inference) 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:

```bash
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."
```