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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"accelerator": "GPU"
},
"cells": [
{
"cell_type": "markdown",
"source": [
"# Credits for bubarino giving me the huggingface import code (感谢 bubarino 给了我 huggingface 导入代码)"
],
"metadata": {
"id": "himHYZmra7ix"
}
},
{
"cell_type": "code",
"metadata": {
"id": "e9b7iFV3dm1f"
},
"source": [
"!git clone https://github.com/RVC-Boss/GPT-SoVITS.git\n",
"%cd GPT-SoVITS\n",
"!apt-get update && apt-get install -y --no-install-recommends tzdata ffmpeg libsox-dev parallel aria2 git git-lfs && git lfs install\n",
"!pip install -r requirements.txt"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# @title Download pretrained models 下载预训练模型\n",
"!mkdir -p /content/GPT-SoVITS/GPT_SoVITS/pretrained_models\n",
"!mkdir -p /content/GPT-SoVITS/tools/damo_asr/models\n",
"!mkdir -p /content/GPT-SoVITS/tools/uvr5\n",
"%cd /content/GPT-SoVITS/GPT_SoVITS/pretrained_models\n",
"!git clone https://huggingface.co/lj1995/GPT-SoVITS\n",
"%cd /content/GPT-SoVITS/tools/damo_asr/models\n",
"!git clone https://www.modelscope.cn/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch.git\n",
"!git clone https://www.modelscope.cn/damo/speech_fsmn_vad_zh-cn-16k-common-pytorch.git\n",
"!git clone https://www.modelscope.cn/damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch.git\n",
"# @title UVR5 pretrains 安装uvr5模型\n",
"%cd /content/GPT-SoVITS/tools/uvr5\n",
"!git clone https://huggingface.co/Delik/uvr5_weights\n",
"!git config core.sparseCheckout true\n",
"!mv /content/GPT-SoVITS/GPT_SoVITS/pretrained_models/GPT-SoVITS/* /content/GPT-SoVITS/GPT_SoVITS/pretrained_models/"
],
"metadata": {
"id": "0NgxXg5sjv7z",
"cellView": "form"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"#@title Create folder models 创建文件夹模型\n",
"import os\n",
"base_directory = \"/content/GPT-SoVITS\"\n",
"folder_names = [\"SoVITS_weights\", \"GPT_weights\"]\n",
"\n",
"for folder_name in folder_names:\n",
" if os.path.exists(os.path.join(base_directory, folder_name)):\n",
" print(f\"The folder '{folder_name}' already exists. (文件夹'{folder_name}'已经存在。)\")\n",
" else:\n",
" os.makedirs(os.path.join(base_directory, folder_name))\n",
" print(f\"The folder '{folder_name}' was created successfully! (文件夹'{folder_name}'已成功创建！)\")\n",
"\n",
"print(\"All folders have been created. (所有文件夹均已创建。)\")"
],
"metadata": {
"cellView": "form",
"id": "cPDEH-9czOJF"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"import requests\n",
"import zipfile\n",
"import shutil\n",
"import os\n",
"\n",
"#@title Import model 导入模型 (HuggingFace)\n",
"hf_link = 'https://huggingface.co/modelloosrvcc/Nagisa_Shingetsu_GPT-SoVITS/resolve/main/Nagisa.zip' #@param {type: \"string\"}\n",
"\n",
"output_path = '/content/'\n",
"\n",
"response = requests.get(hf_link)\n",
"with open(output_path + 'file.zip', 'wb') as file:\n",
" file.write(response.content)\n",
"\n",
"with zipfile.ZipFile(output_path + 'file.zip', 'r') as zip_ref:\n",
" zip_ref.extractall(output_path)\n",
"\n",
"os.remove(output_path + \"file.zip\")\n",
"\n",
"source_directory = output_path\n",
"SoVITS_destination_directory = '/content/GPT-SoVITS/SoVITS_weights'\n",
"GPT_destination_directory = '/content/GPT-SoVITS/GPT_weights'\n",
"\n",
"for filename in os.listdir(source_directory):\n",
" if filename.endswith(\".pth\"):\n",
" source_path = os.path.join(source_directory, filename)\n",
" destination_path = os.path.join(SoVITS_destination_directory, filename)\n",
" shutil.move(source_path, destination_path)\n",
"\n",
"for filename in os.listdir(source_directory):\n",
" if filename.endswith(\".ckpt\"):\n",
" source_path = os.path.join(source_directory, filename)\n",
" destination_path = os.path.join(GPT_destination_directory, filename)\n",
" shutil.move(source_path, destination_path)\n",
"\n",
"print(f'Model downloaded. (模型已下载。)')"
],
"metadata": {
"cellView": "form",
"id": "vbZY-LnM0tzq"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# @title launch WebUI 启动WebUI\n",
"!/usr/local/bin/pip install ipykernel\n",
"!sed -i '10s/False/True/' /content/GPT-SoVITS/config.py\n",
"%cd /content/GPT-SoVITS/\n",
"!/usr/local/bin/python webui.py"
],
"metadata": {
"id": "4oRGUzkrk8C7",
"cellView": "form"
},
"execution_count": null,
"outputs": []
}
]
} |