Update README.md

README.md

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 license: mit
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+# Amphion Text-to-Speech Pretrained Models
+
+We provide the following pretrained checkpoints for you to use, specifically:
+
+A [VITS](https://github.com/open-mmlab/Amphion/tree/main/egs/tts/VITS) pretrained checkpoint 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."
+```
+