sparkTTS window 安装

下载 Spark-TTS

• Go to Spark-TTS GitHub
• Click "Code" > "Download ZIP", then extract it.

2. 建立   Conda 环境

conda create -n sparktts python=3.12 -y
conda activate sparktts

3. Install Dependencies

pip install -r requirements.txt

Install PyTorch (Auto-Detect CUDA or CPU)

我使用的是RTX4080 显卡。安装cuda 12.4，安装的PyTorch 为2.5.1+cu124。

下载cuda 12.4.

安装 PyTorch  +cu124

conda install pytorch==2.5.1 torchvision==0.20.1 torchaudio==2.5.1 pytorch-cuda=12.4 -c pytorch -c nvidia

5. Download the Model

mkdir pretrained_models
git clone https://huggingface.co/SparkAudio/Spark-TTS-0.5B pretrained_models/Spark-TTS-0.5B

遇到问题

 运行python webUI.py 时出现：

variable KMP_DUPLICATE_LIB_OK=TRUE to allow the program to continue to execute, but that may cause crashes or silently produce incorrect results. For more information, please see http://www.intel.com/software/products/support/.

办法

1 删除 libiomp5md.dll

D:\Users\Yao\anaconda3\Library\bin\libiomp5md.dll

2 设置临时环境变量：KMP_DUPLICATE_LIB_OK=TRUE

  set KMP_DUPLICATE_LIB_OK=TRUE

也在windows 下设置了。

结果

效果明显比MaskGCT 好。转码速度快。