git clone https://github.com/SparkAudio/Spark-TTS.git
cd Spark-TTS

conda create -n sparktts -y python=3.12 
conda activate sparktts
pip install -r requirements.txt
# If you are in mainland China, you can set the mirror as follows:
# pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/ --trusted-host=mirrors.aliyun.com

mkdir pretrained_models && cd pretrained_models

# 安装大文件拉取工具
git lfs install

# 从Modelscpoe上下载模型
git clone https://www.modelscope.cn/SparkAudio/Spark-TTS-0.5B.git

python -m cli.inference \
    --text "text to synthesis." \
    --device 0 \
    --save_dir "path/to/save/audio" \
    --model_dir pretrained_models/Spark-TTS-0.5B \
    --prompt_text "transcript of the prompt audio" \
    --prompt_speech_path "path/to/prompt_audio"

#!/bin/bash

# Copyright (c) 2025 SparkAudio
#               2025 Xinsheng Wang (w.xinshawn@gmail.com)
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.


# Get the absolute path of the script's directory
script_dir=$(dirname "$(realpath "$0")")

# Get the root directory
root_dir=$(dirname "$script_dir")

# Set default parameters
device=0
save_dir='example/results'
model_dir="pretrained_models/Spark-TTS-0.5B"
text="身临其境，换新体验。塑造开源语音合成新范式，让智能语音更自然。"
prompt_text="吃燕窝就选燕之屋，本节目由26年专注高品质燕窝的燕之屋冠名播出。豆奶牛奶换着喝，营养更均衡，本节目由豆本豆豆奶特约播出。"
prompt_speech_path="example/prompt_audio.wav"

# Change directory to the root directory
cd "$root_dir" || exit

source sparktts/utils/parse_options.sh

# Run inference
python -m cli.inference \
    --text "${text}" \
    --device "${device}" \
    --save_dir "${save_dir}" \
    --model_dir "${model_dir}" \
    --prompt_text "${prompt_text}" \
    --prompt_speech_path "${prompt_speech_path}"
    
    

# 在终端运行：
python webui.py --device 0