repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/api.py | api.py | """
# api.py usage
` python api.py -dr "123.wav" -dt "一二三。" -dl "zh" `
## 执行参数:
`-s` - `SoVITS模型路径, 可在 config.py 中指定`
`-g` - `GPT模型路径, 可在 config.py 中指定`
调用请求缺少参考音频时使用
`-dr` - `默认参考音频路径`
`-dt` - `默认参考音频文本`
`-dl` - `默认参考音频语种, "中文","英文","日文","韩文","粤语,"zh","en","ja","ko","yue"`
`-d` - `推理设备, "cuda","cpu"`
`-a` - `绑定地址... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | true |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/webui.py | webui.py | import os
import sys
os.environ["version"] = version = "v2Pro"
now_dir = os.getcwd()
sys.path.insert(0, now_dir)
import warnings
warnings.filterwarnings("ignore")
import json
import platform
import shutil
import signal
import psutil
import torch
import yaml
os.environ["TORCH_DISTRIBUTED_DEBUG"] = "INFO"
torch.manua... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | true |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/config.py | config.py | import os
import re
import sys
import torch
from tools.i18n.i18n import I18nAuto
i18n = I18nAuto(language=os.environ.get("language", "Auto"))
pretrained_sovits_name = {
"v1": "GPT_SoVITS/pretrained_models/s2G488k.pth",
"v2": "GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s2G2333k.pth",
"v3": "GPT... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/api_v2.py | api_v2.py | """
# WebAPI文档
` python api_v2.py -a 127.0.0.1 -p 9880 -c GPT_SoVITS/configs/tts_infer.yaml `
## 执行参数:
`-a` - `绑定地址, 默认"127.0.0.1"`
`-p` - `绑定端口, 默认9880`
`-c` - `TTS配置文件路径, 默认"GPT_SoVITS/configs/tts_infer.yaml"`
## 调用:
### 推理
endpoint: `/tts`
GET:
```
http://127.0.0.1:9880/tts?text=先帝创业未半而中道崩殂，今天下三分，益州... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/assets.py | tools/assets.py | js = """
function deleteTheme() {
const params = new URLSearchParams(window.location.search);
if (params.has('__theme')) {
params.delete('__theme');
const newUrl = `${window.location.pathname}?${params.toString()}`;
window.location.replace(newUrl);
}
}
"""
css = """
/* CSSStyleRule */
.markdown {
pad... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/audio_sr.py | tools/audio_sr.py | from __future__ import absolute_import, division, print_function, unicode_literals
import sys
import os
AP_BWE_main_dir_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), "AP_BWE_main")
sys.path.append(AP_BWE_main_dir_path)
import json
import torch
import torchaudio.functional as aF
# from attrdict import... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/cmd-denoise.py | tools/cmd-denoise.py | import os
import argparse
import traceback
from modelscope.pipelines import pipeline
from modelscope.utils.constant import Tasks
from tqdm import tqdm
path_denoise = "tools/denoise-model/speech_frcrn_ans_cirm_16k"
path_denoise = path_denoise if os.path.exists(path_denoise) else "damo/speech_frcrn_ans_cirm_16k"
ans = ... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/slicer2.py | tools/slicer2.py | import numpy as np
# This function is obtained from librosa.
def get_rms(
y,
frame_length=2048,
hop_length=512,
pad_mode="constant",
):
padding = (int(frame_length // 2), int(frame_length // 2))
y = np.pad(y, padding, mode=pad_mode)
axis = -1
# put our new within-frame axis at the end... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/slice_audio.py | tools/slice_audio.py | import os
import sys
import numpy as np
import traceback
from scipy.io import wavfile
# parent_directory = os.path.dirname(os.path.abspath(__file__))
# sys.path.append(parent_directory)
from tools.my_utils import load_audio
from slicer2 import Slicer
def slice(inp, opt_root, threshold, min_length, min_interval, hop_... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/subfix_webui.py | tools/subfix_webui.py | import sys
from tools.i18n.i18n import I18nAuto, scan_language_list
language = sys.argv[-1] if sys.argv[-1] in scan_language_list() else "Auto"
i18n = I18nAuto(language=language)
import argparse
import copy
import json
import os
import uuid
try:
import gradio.analytics as analytics
analytics.version_check = ... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/__init__.py | tools/__init__.py | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false | |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/my_utils.py | tools/my_utils.py | import ctypes
import os
import sys
from pathlib import Path
import ffmpeg
import gradio as gr
import numpy as np
import pandas as pd
from tools.i18n.i18n import I18nAuto
i18n = I18nAuto(language=os.environ.get("language", "Auto"))
def load_audio(file, sr):
try:
# https://github.com/openai/whisper/blob/... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/asr/fasterwhisper_asr.py | tools/asr/fasterwhisper_asr.py | import argparse
import os
import traceback
import requests
import torch
from faster_whisper import WhisperModel
from huggingface_hub import snapshot_download as snapshot_download_hf
from modelscope import snapshot_download as snapshot_download_ms
from tqdm import tqdm
from tools.asr.config import get_models
from tool... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/asr/config.py | tools/asr/config.py | def get_models():
model_size_list = [
"medium",
"medium.en",
"large-v2",
"large-v3",
"large-v3-turbo",
#"distil-large-v2",
#"distil-large-v3",
#"distil-large-v3.5",
]
return model_size_list
asr_dict = {
"达摩 ASR (中文)": {"lang": ["zh", "yue... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/asr/funasr_asr.py | tools/asr/funasr_asr.py | # -*- coding:utf-8 -*-
import argparse
import os
import traceback
from funasr import AutoModel
from modelscope import snapshot_download
from tqdm import tqdm
funasr_models = {} # 存储模型避免重复加载
def only_asr(input_file, language):
try:
model = create_model(language)
text = model.generate(input=inpu... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/i18n/scan_i18n.py | tools/i18n/scan_i18n.py | import ast
import glob
import json
import os
from collections import OrderedDict
I18N_JSON_DIR: os.PathLike = os.path.join(os.path.dirname(os.path.relpath(__file__)), "locale")
DEFAULT_LANGUAGE: str = "zh_CN" # 默认语言
TITLE_LEN: int = 60 # 标题显示长度
KEY_LEN: int = 30 # 键名显示长度
SHOW_KEYS: bool = False # 是否显示键信息
SORT_KEYS... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/i18n/i18n.py | tools/i18n/i18n.py | import json
import locale
import os
I18N_JSON_DIR: os.PathLike = os.path.join(os.path.dirname(os.path.relpath(__file__)), "locale")
def load_language_list(language):
with open(os.path.join(I18N_JSON_DIR, f"{language}.json"), "r", encoding="utf-8") as f:
language_list = json.load(f)
return language_li... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/AP_BWE_main/models/model.py | tools/AP_BWE_main/models/model.py | import torch
import torch.nn.functional as F
import torch.nn as nn
from torch.nn.utils import weight_norm, spectral_norm
# from utils import init_weights, get_padding
def get_padding(kernel_size, dilation=1):
return int((kernel_size * dilation - dilation) / 2)
def init_weights(m, mean=0.0, std=0.01):
classn... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/AP_BWE_main/models/__init__.py | tools/AP_BWE_main/models/__init__.py | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false | |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/AP_BWE_main/datasets1/dataset.py | tools/AP_BWE_main/datasets1/dataset.py | import os
import random
import torch
import torchaudio
import torch.utils.data
import torchaudio.functional as aF
def amp_pha_stft(audio, n_fft, hop_size, win_size, center=True):
hann_window = torch.hann_window(win_size).to(audio.device)
stft_spec = torch.stft(
audio,
n_fft,
hop_length... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/AP_BWE_main/datasets1/__init__.py | tools/AP_BWE_main/datasets1/__init__.py | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false | |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/uvr5/vr.py | tools/uvr5/vr.py | import os
parent_directory = os.path.dirname(os.path.abspath(__file__))
import logging
logger = logging.getLogger(__name__)
import librosa
import numpy as np
import soundfile as sf
import torch
from lib.lib_v5 import nets_61968KB as Nets
from lib.lib_v5 import spec_utils
from lib.lib_v5.model_param_init import Model... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/uvr5/webui.py | tools/uvr5/webui.py | import logging
import os
import traceback
import gradio as gr
from tools.i18n.i18n import I18nAuto
from tools.my_utils import clean_path
i18n = I18nAuto()
logger = logging.getLogger(__name__)
import sys
import ffmpeg
import torch
from bsroformer import Roformer_Loader
from mdxnet import MDXNetDereverb
from vr impo... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/uvr5/bsroformer.py | tools/uvr5/bsroformer.py | # This code is modified from https://github.com/ZFTurbo/
import os
import warnings
import librosa
import numpy as np
import soundfile as sf
import torch
import torch.nn as nn
import yaml
from tqdm import tqdm
warnings.filterwarnings("ignore")
class Roformer_Loader:
def get_config(self, config_path):
wit... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/uvr5/mdxnet.py | tools/uvr5/mdxnet.py | import os
import logging
logger = logging.getLogger(__name__)
import librosa
import numpy as np
import soundfile as sf
import torch
from tqdm import tqdm
cpu = torch.device("cpu")
class ConvTDFNetTrim:
def __init__(self, device, model_name, target_name, L, dim_f, dim_t, n_fft, hop=1024):
super(ConvTDFN... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/uvr5/bs_roformer/attend.py | tools/uvr5/bs_roformer/attend.py | from packaging import version
import torch
from torch import nn, einsum
import torch.nn.functional as F
def exists(val):
return val is not None
def default(v, d):
return v if exists(v) else d
class Attend(nn.Module):
def __init__(self, dropout=0.0, flash=False, scale=None):
super().__init__()
... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/uvr5/bs_roformer/mel_band_roformer.py | tools/uvr5/bs_roformer/mel_band_roformer.py | from functools import partial
import torch
from torch import nn
from torch.nn import Module, ModuleList
import torch.nn.functional as F
from bs_roformer.attend import Attend
from torch.utils.checkpoint import checkpoint
from typing import Tuple, Optional, Callable
# from beartype.typing import Tuple, Optional, List,... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/uvr5/bs_roformer/bs_roformer.py | tools/uvr5/bs_roformer/bs_roformer.py | from functools import partial
import torch
from torch import nn
from torch.nn import Module, ModuleList
import torch.nn.functional as F
from bs_roformer.attend import Attend
from torch.utils.checkpoint import checkpoint
from typing import Tuple, Optional, Callable
# from beartype.typing import Tuple, Optional, List,... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/uvr5/bs_roformer/__init__.py | tools/uvr5/bs_roformer/__init__.py | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false | |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/uvr5/lib/utils.py | tools/uvr5/lib/utils.py | import json
import numpy as np
import torch
from tqdm import tqdm
def load_data(file_name: str = "./lib/name_params.json") -> dict:
with open(file_name, "r") as f:
data = json.load(f)
return data
def make_padding(width, cropsize, offset):
left = offset
roi_size = cropsize - left * 2
if... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/uvr5/lib/lib_v5/layers_new.py | tools/uvr5/lib/lib_v5/layers_new.py | import torch
import torch.nn.functional as F
from torch import nn
from . import spec_utils
class Conv2DBNActiv(nn.Module):
def __init__(self, nin, nout, ksize=3, stride=1, pad=1, dilation=1, activ=nn.ReLU):
super(Conv2DBNActiv, self).__init__()
self.conv = nn.Sequential(
nn.Conv2d(
... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/uvr5/lib/lib_v5/layers_123821KB.py | tools/uvr5/lib/lib_v5/layers_123821KB.py | import torch
import torch.nn.functional as F
from torch import nn
from . import spec_utils
class Conv2DBNActiv(nn.Module):
def __init__(self, nin, nout, ksize=3, stride=1, pad=1, dilation=1, activ=nn.ReLU):
super(Conv2DBNActiv, self).__init__()
self.conv = nn.Sequential(
nn.Conv2d(
... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/uvr5/lib/lib_v5/layers_123812KB.py | tools/uvr5/lib/lib_v5/layers_123812KB.py | import torch
import torch.nn.functional as F
from torch import nn
from . import spec_utils
class Conv2DBNActiv(nn.Module):
def __init__(self, nin, nout, ksize=3, stride=1, pad=1, dilation=1, activ=nn.ReLU):
super(Conv2DBNActiv, self).__init__()
self.conv = nn.Sequential(
nn.Conv2d(
... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/uvr5/lib/lib_v5/spec_utils.py | tools/uvr5/lib/lib_v5/spec_utils.py | import hashlib
import json
import math
import os
import librosa
import numpy as np
import soundfile as sf
from tqdm import tqdm
def crop_center(h1, h2):
h1_shape = h1.size()
h2_shape = h2.size()
if h1_shape[3] == h2_shape[3]:
return h1
elif h1_shape[3] < h2_shape[3]:
raise ValueError... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/uvr5/lib/lib_v5/model_param_init.py | tools/uvr5/lib/lib_v5/model_param_init.py | import json
import pathlib
default_param = {}
default_param["bins"] = 768
default_param["unstable_bins"] = 9 # training only
default_param["reduction_bins"] = 762 # training only
default_param["sr"] = 44100
default_param["pre_filter_start"] = 757
default_param["pre_filter_stop"] = 768
default_param["band"] = {}
de... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/uvr5/lib/lib_v5/nets_new.py | tools/uvr5/lib/lib_v5/nets_new.py | import torch
import torch.nn.functional as F
from torch import nn
from . import layers_new
class BaseNet(nn.Module):
def __init__(self, nin, nout, nin_lstm, nout_lstm, dilations=((4, 2), (8, 4), (12, 6))):
super(BaseNet, self).__init__()
self.enc1 = layers_new.Conv2DBNActiv(nin, nout, 3, 1, 1)
... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/uvr5/lib/lib_v5/dataset.py | tools/uvr5/lib/lib_v5/dataset.py | import os
import random
import numpy as np
import torch
import torch.utils.data
from tqdm import tqdm
from . import spec_utils
class VocalRemoverValidationSet(torch.utils.data.Dataset):
def __init__(self, patch_list):
self.patch_list = patch_list
def __len__(self):
return len(self.patch_lis... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/uvr5/lib/lib_v5/nets_61968KB.py | tools/uvr5/lib/lib_v5/nets_61968KB.py | import torch
import torch.nn.functional as F
from torch import nn
from . import layers_123821KB as layers
class BaseASPPNet(nn.Module):
def __init__(self, nin, ch, dilations=(4, 8, 16)):
super(BaseASPPNet, self).__init__()
self.enc1 = layers.Encoder(nin, ch, 3, 2, 1)
self.enc2 = layers.En... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/uvr5/lib/lib_v5/layers_33966KB.py | tools/uvr5/lib/lib_v5/layers_33966KB.py | import torch
import torch.nn.functional as F
from torch import nn
from . import spec_utils
class Conv2DBNActiv(nn.Module):
def __init__(self, nin, nout, ksize=3, stride=1, pad=1, dilation=1, activ=nn.ReLU):
super(Conv2DBNActiv, self).__init__()
self.conv = nn.Sequential(
nn.Conv2d(
... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/uvr5/lib/lib_v5/nets_537227KB.py | tools/uvr5/lib/lib_v5/nets_537227KB.py | import torch
import torch.nn.functional as F
from torch import nn
from . import layers_537238KB as layers
class BaseASPPNet(nn.Module):
def __init__(self, nin, ch, dilations=(4, 8, 16)):
super(BaseASPPNet, self).__init__()
self.enc1 = layers.Encoder(nin, ch, 3, 2, 1)
self.enc2 = layers.En... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/uvr5/lib/lib_v5/layers_537227KB.py | tools/uvr5/lib/lib_v5/layers_537227KB.py | import torch
import torch.nn.functional as F
from torch import nn
from . import spec_utils
class Conv2DBNActiv(nn.Module):
def __init__(self, nin, nout, ksize=3, stride=1, pad=1, dilation=1, activ=nn.ReLU):
super(Conv2DBNActiv, self).__init__()
self.conv = nn.Sequential(
nn.Conv2d(
... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/uvr5/lib/lib_v5/nets_123812KB.py | tools/uvr5/lib/lib_v5/nets_123812KB.py | import torch
import torch.nn.functional as F
from torch import nn
from . import layers_123821KB as layers
class BaseASPPNet(nn.Module):
def __init__(self, nin, ch, dilations=(4, 8, 16)):
super(BaseASPPNet, self).__init__()
self.enc1 = layers.Encoder(nin, ch, 3, 2, 1)
self.enc2 = layers.En... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/uvr5/lib/lib_v5/nets.py | tools/uvr5/lib/lib_v5/nets.py | import layers
import torch
import torch.nn.functional as F
from torch import nn
class BaseASPPNet(nn.Module):
def __init__(self, nin, ch, dilations=(4, 8, 16)):
super(BaseASPPNet, self).__init__()
self.enc1 = layers.Encoder(nin, ch, 3, 2, 1)
self.enc2 = layers.Encoder(ch, ch * 2, 3, 2, 1)
... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/uvr5/lib/lib_v5/nets_537238KB.py | tools/uvr5/lib/lib_v5/nets_537238KB.py | import torch
import torch.nn.functional as F
from torch import nn
from . import layers_537238KB as layers
class BaseASPPNet(nn.Module):
def __init__(self, nin, ch, dilations=(4, 8, 16)):
super(BaseASPPNet, self).__init__()
self.enc1 = layers.Encoder(nin, ch, 3, 2, 1)
self.enc2 = layers.En... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/uvr5/lib/lib_v5/nets_123821KB.py | tools/uvr5/lib/lib_v5/nets_123821KB.py | import torch
import torch.nn.functional as F
from torch import nn
from . import layers_123821KB as layers
class BaseASPPNet(nn.Module):
def __init__(self, nin, ch, dilations=(4, 8, 16)):
super(BaseASPPNet, self).__init__()
self.enc1 = layers.Encoder(nin, ch, 3, 2, 1)
self.enc2 = layers.En... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/uvr5/lib/lib_v5/layers_537238KB.py | tools/uvr5/lib/lib_v5/layers_537238KB.py | import torch
import torch.nn.functional as F
from torch import nn
from . import spec_utils
class Conv2DBNActiv(nn.Module):
def __init__(self, nin, nout, ksize=3, stride=1, pad=1, dilation=1, activ=nn.ReLU):
super(Conv2DBNActiv, self).__init__()
self.conv = nn.Sequential(
nn.Conv2d(
... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/uvr5/lib/lib_v5/nets_33966KB.py | tools/uvr5/lib/lib_v5/nets_33966KB.py | import torch
import torch.nn.functional as F
from torch import nn
from . import layers_33966KB as layers
class BaseASPPNet(nn.Module):
def __init__(self, nin, ch, dilations=(4, 8, 16, 32)):
super(BaseASPPNet, self).__init__()
self.enc1 = layers.Encoder(nin, ch, 3, 2, 1)
self.enc2 = layers... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/tools/uvr5/lib/lib_v5/layers.py | tools/uvr5/lib/lib_v5/layers.py | import torch
import torch.nn.functional as F
from torch import nn
from . import spec_utils
class Conv2DBNActiv(nn.Module):
def __init__(self, nin, nout, ksize=3, stride=1, pad=1, dilation=1, activ=nn.ReLU):
super(Conv2DBNActiv, self).__init__()
self.conv = nn.Sequential(
nn.Conv2d(
... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/export_torch_script_v3v4.py | GPT_SoVITS/export_torch_script_v3v4.py | import os
from export_torch_script import (
T2SModel,
get_raw_t2s_model,
resamplex,
spectrogram_torch,
)
from f5_tts.model.backbones.dit import DiT
from inference_webui import get_phones_and_bert
import librosa
from module import commons
from module.mel_processing import mel_spectrogram_torch
from modul... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | true |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/inference_webui_fast.py | GPT_SoVITS/inference_webui_fast.py | """
按中英混合识别
按日英混合识别
多语种启动切分识别语种
全部按中文识别
全部按英文识别
全部按日文识别
"""
import psutil
import os
def set_high_priority():
"""把当前 Python 进程设为 HIGH_PRIORITY_CLASS"""
if os.name != "nt":
return # 仅 Windows 有效
p = psutil.Process(os.getpid())
try:
p.nice(psutil.HIGH_PRIORITY_CLASS)
print("已将进程优先级... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/s1_train.py | GPT_SoVITS/s1_train.py | # modified from https://github.com/feng-yufei/shared_debugging_code/blob/main/train_t2s.py
import os
if "_CUDA_VISIBLE_DEVICES" in os.environ:
os.environ["CUDA_VISIBLE_DEVICES"] = os.environ["_CUDA_VISIBLE_DEVICES"]
import argparse
import logging
import platform
from pathlib import Path
import torch
from AR.data.... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/inference_gui.py | GPT_SoVITS/inference_gui.py | import os
import sys
from PyQt5.QtCore import QEvent
from PyQt5.QtWidgets import QApplication, QMainWindow, QLabel, QLineEdit, QPushButton, QTextEdit
from PyQt5.QtWidgets import QGridLayout, QVBoxLayout, QWidget, QFileDialog, QStatusBar, QComboBox
import soundfile as sf
from tools.i18n.i18n import I18nAuto
i18n = I18... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/inference_webui.py | GPT_SoVITS/inference_webui.py | """
按中英混合识别
按日英混合识别
多语种启动切分识别语种
全部按中文识别
全部按英文识别
全部按日文识别
"""
import psutil
import os
def set_high_priority():
"""把当前 Python 进程设为 HIGH_PRIORITY_CLASS"""
if os.name != "nt":
return # 仅 Windows 有效
p = psutil.Process(os.getpid())
try:
p.nice(psutil.HIGH_PRIORITY_CLASS)
print("已将进程优先级... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | true |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/process_ckpt.py | GPT_SoVITS/process_ckpt.py | import traceback
from collections import OrderedDict
from time import time as ttime
import shutil
import os
import torch
from tools.i18n.i18n import I18nAuto
i18n = I18nAuto()
def my_save(fea, path): #####fix issue: torch.save doesn't support chinese path
dir = os.path.dirname(path)
name = os.path.basename(... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/inference_cli.py | GPT_SoVITS/inference_cli.py | import argparse
import os
import soundfile as sf
from tools.i18n.i18n import I18nAuto
from GPT_SoVITS.inference_webui import change_gpt_weights, change_sovits_weights, get_tts_wav
i18n = I18nAuto()
def synthesize(
GPT_model_path,
SoVITS_model_path,
ref_audio_path,
ref_text_path,
ref_language,
... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/stream_v2pro.py | GPT_SoVITS/stream_v2pro.py | # 这是一个实验性质的实现，旨在探索 stream infer 的可能性。(xiao hai xie zhe wan de)
from typing import List
from export_torch_script import ExportERes2NetV2, SSLModel, T2SModel, VitsModel, get_raw_t2s_model, init_sv_cn, resamplex, sample, spectrogram_torch
import export_torch_script
from my_utils import load_audio
import torch
from torch i... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/s2_train_v3_lora.py | GPT_SoVITS/s2_train_v3_lora.py | import warnings
warnings.filterwarnings("ignore")
import os
import utils
hps = utils.get_hparams(stage=2)
os.environ["CUDA_VISIBLE_DEVICES"] = hps.train.gpu_numbers.replace("-", ",")
import logging
import torch
import torch.distributed as dist
import torch.multiprocessing as mp
from torch.cuda.amp import GradScaler... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/s2_train.py | GPT_SoVITS/s2_train.py | import warnings
warnings.filterwarnings("ignore")
import os
import utils
hps = utils.get_hparams(stage=2)
os.environ["CUDA_VISIBLE_DEVICES"] = hps.train.gpu_numbers.replace("-", ",")
import logging
import torch
import torch.distributed as dist
import torch.multiprocessing as mp
from torch.cuda.amp import GradScaler... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/s2_train_v3.py | GPT_SoVITS/s2_train_v3.py | import warnings
warnings.filterwarnings("ignore")
import os
import utils
hps = utils.get_hparams(stage=2)
os.environ["CUDA_VISIBLE_DEVICES"] = hps.train.gpu_numbers.replace("-", ",")
import logging
import torch
import torch.distributed as dist
import torch.multiprocessing as mp
from torch.cuda.amp import GradScaler... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/utils.py | GPT_SoVITS/utils.py | import argparse
import glob
import json
import logging
import os
import subprocess
import sys
import traceback
import librosa
import numpy as np
import torch
logging.getLogger("numba").setLevel(logging.ERROR)
logging.getLogger("matplotlib").setLevel(logging.ERROR)
logging.getLogger("httpx").setLevel(logging.ERROR)
MA... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/download.py | GPT_SoVITS/download.py | import os
import sys
now_dir = os.getcwd()
sys.path.insert(0, now_dir)
from text.g2pw import G2PWPinyin
g2pw = G2PWPinyin(
model_dir="GPT_SoVITS/text/G2PWModel",
model_source="GPT_SoVITS/pretrained_models/chinese-roberta-wwm-ext-large",
v_to_u=False,
neutral_tone_with_five=True,
)
| python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/export_torch_script.py | GPT_SoVITS/export_torch_script.py | # modified from https://github.com/yangdongchao/SoundStorm/blob/master/soundstorm/s1/AR/models/t2s_model.py
# reference: https://github.com/lifeiteng/vall-e
import argparse
from io import BytesIO
from typing import Optional
from my_utils import load_audio
import torch
import torchaudio
from torch import IntTensor, Lon... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | true |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/sv.py | GPT_SoVITS/sv.py | import sys
import os
import torch
sys.path.append(f"{os.getcwd()}/GPT_SoVITS/eres2net")
sv_path = "GPT_SoVITS/pretrained_models/sv/pretrained_eres2netv2w24s4ep4.ckpt"
from ERes2NetV2 import ERes2NetV2
import kaldi as Kaldi
class SV:
def __init__(self, device, is_half):
pretrained_state = torch.load(sv_pa... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/onnx_export.py | GPT_SoVITS/onnx_export.py | import torch
import torchaudio
from AR.models.t2s_lightning_module_onnx import Text2SemanticLightningModule
from feature_extractor import cnhubert
from module.models_onnx import SynthesizerTrn, symbols_v1, symbols_v2
from torch import nn
cnhubert_base_path = "GPT_SoVITS/pretrained_models/chinese-hubert-base"
cnhubert.... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/BigVGAN/meldataset.py | GPT_SoVITS/BigVGAN/meldataset.py | # Copyright (c) 2024 NVIDIA CORPORATION.
# Licensed under the MIT license.
# Adapted from https://github.com/jik876/hifi-gan under the MIT license.
# LICENSE is in incl_licenses directory.
import math
import os
import random
import torch
import torch.utils.data
import numpy as np
import librosa
from librosa.filte... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/BigVGAN/train.py | GPT_SoVITS/BigVGAN/train.py | # Copyright (c) 2024 NVIDIA CORPORATION.
# Licensed under the MIT license.
# Adapted from https://github.com/jik876/hifi-gan under the MIT license.
# LICENSE is in incl_licenses directory.
import warnings
warnings.simplefilter(action="ignore", category=FutureWarning)
import itertools
import os
import time
impor... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/BigVGAN/utils0.py | GPT_SoVITS/BigVGAN/utils0.py | # Adapted from https://github.com/jik876/hifi-gan under the MIT license.
# LICENSE is in incl_licenses directory.
import glob
import os
import matplotlib
import torch
from torch.nn.utils import weight_norm
matplotlib.use("Agg")
import matplotlib.pylab as plt
from .meldataset import MAX_WAV_VALUE
from scipy.io.wavfi... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/BigVGAN/inference.py | GPT_SoVITS/BigVGAN/inference.py | # Adapted from https://github.com/jik876/hifi-gan under the MIT license.
# LICENSE is in incl_licenses directory.
from __future__ import absolute_import, division, print_function, unicode_literals
import os
import argparse
import json
import torch
import librosa
from utils import load_checkpoint
from meldataset imp... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/BigVGAN/bigvgan.py | GPT_SoVITS/BigVGAN/bigvgan.py | # Copyright (c) 2024 NVIDIA CORPORATION.
# Licensed under the MIT license.
# Adapted from https://github.com/jik876/hifi-gan under the MIT license.
# LICENSE is in incl_licenses directory.
import os
import json
from pathlib import Path
from typing import Optional, Union, Dict
import torch
import torch.nn as nn
f... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/BigVGAN/discriminators.py | GPT_SoVITS/BigVGAN/discriminators.py | # Copyright (c) 2024 NVIDIA CORPORATION.
# Licensed under the MIT license.
# Adapted from https://github.com/jik876/hifi-gan under the MIT license.
# LICENSE is in incl_licenses directory.
import torch
import torch.nn.functional as F
import torch.nn as nn
from torch.nn import Conv2d
from torch.nn.utils import we... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/BigVGAN/loss.py | GPT_SoVITS/BigVGAN/loss.py | # Copyright (c) 2024 NVIDIA CORPORATION.
# Licensed under the MIT license.
# Adapted from https://github.com/jik876/hifi-gan under the MIT license.
# LICENSE is in incl_licenses directory.
import torch
import torch.nn as nn
from librosa.filters import mel as librosa_mel_fn
from scipy import signal
import typing... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/BigVGAN/inference_e2e.py | GPT_SoVITS/BigVGAN/inference_e2e.py | # Adapted from https://github.com/jik876/hifi-gan under the MIT license.
# LICENSE is in incl_licenses directory.
from __future__ import absolute_import, division, print_function, unicode_literals
import glob
import os
import numpy as np
import argparse
import json
import torch
from scipy.io.wavfile import write
fr... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/BigVGAN/activations.py | GPT_SoVITS/BigVGAN/activations.py | # Implementation adapted from https://github.com/EdwardDixon/snake under the MIT license.
# LICENSE is in incl_licenses directory.
import torch
from torch import nn, sin, pow
from torch.nn import Parameter
class Snake(nn.Module):
"""
Implementation of a sine-based periodic activation function
Shape:
... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/BigVGAN/env.py | GPT_SoVITS/BigVGAN/env.py | # Adapted from https://github.com/jik876/hifi-gan under the MIT license.
# LICENSE is in incl_licenses directory.
import os
import shutil
class AttrDict(dict):
def __init__(self, *args, **kwargs):
super(AttrDict, self).__init__(*args, **kwargs)
self.__dict__ = self
def build_env(config, confi... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/BigVGAN/tests/test_activation_snake_beta.py | GPT_SoVITS/BigVGAN/tests/test_activation_snake_beta.py | # Copyright (c) 2024 NVIDIA CORPORATION.
# Licensed under the MIT license.
import os
import sys
# to import modules from parent_dir
parent_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
sys.path.append(parent_dir)
import torch
from alias_free_activation.cuda import activation1d
from activatio... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/BigVGAN/tests/test_cuda_vs_torch_model.py | GPT_SoVITS/BigVGAN/tests/test_cuda_vs_torch_model.py | # Copyright (c) 2024 NVIDIA CORPORATION.
# Licensed under the MIT license.
import os
import sys
# to import modules from parent_dir
parent_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
sys.path.append(parent_dir)
import torch
import json
from env import AttrDict
from bigvgan import BigVGAN
f... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/BigVGAN/tests/test_activation.py | GPT_SoVITS/BigVGAN/tests/test_activation.py | # Copyright (c) 2024 NVIDIA CORPORATION.
# Licensed under the MIT license.
import os
import sys
# to import modules from parent_dir
parent_dir = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
sys.path.append(parent_dir)
import torch
from alias_free_activation.cuda import activation1d
from activatio... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/BigVGAN/alias_free_activation/cuda/load.py | GPT_SoVITS/BigVGAN/alias_free_activation/cuda/load.py | # Copyright (c) 2024 NVIDIA CORPORATION.
# Licensed under the MIT license.
import os
import pathlib
import subprocess
from torch.utils import cpp_extension
"""
Setting this param to a list has a problem of generating different compilation commands (with diferent order of architectures) and leading to recompilation... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/BigVGAN/alias_free_activation/cuda/__init__.py | GPT_SoVITS/BigVGAN/alias_free_activation/cuda/__init__.py | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false | |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/BigVGAN/alias_free_activation/cuda/activation1d.py | GPT_SoVITS/BigVGAN/alias_free_activation/cuda/activation1d.py | # Copyright (c) 2024 NVIDIA CORPORATION.
# Licensed under the MIT license.
import torch
import torch.nn as nn
from alias_free_activation.torch.resample import UpSample1d, DownSample1d
# load fused CUDA kernel: this enables importing anti_alias_activation_cuda
from alias_free_activation.cuda import load
anti_alias_... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/BigVGAN/alias_free_activation/torch/filter.py | GPT_SoVITS/BigVGAN/alias_free_activation/torch/filter.py | # Adapted from https://github.com/junjun3518/alias-free-torch under the Apache License 2.0
# LICENSE is in incl_licenses directory.
import torch
import torch.nn as nn
import torch.nn.functional as F
import math
if "sinc" in dir(torch):
sinc = torch.sinc
else:
# This code is adopted from adefossez's julius.c... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/BigVGAN/alias_free_activation/torch/act.py | GPT_SoVITS/BigVGAN/alias_free_activation/torch/act.py | # Adapted from https://github.com/junjun3518/alias-free-torch under the Apache License 2.0
# LICENSE is in incl_licenses directory.
import torch.nn as nn
from .resample import UpSample1d, DownSample1d
class Activation1d(nn.Module):
def __init__(
self,
activation,
up_ratio: int = 2,
... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/BigVGAN/alias_free_activation/torch/__init__.py | GPT_SoVITS/BigVGAN/alias_free_activation/torch/__init__.py | # Adapted from https://github.com/junjun3518/alias-free-torch under the Apache License 2.0
# LICENSE is in incl_licenses directory.
from .filter import *
from .resample import *
from .act import *
| python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/BigVGAN/alias_free_activation/torch/resample.py | GPT_SoVITS/BigVGAN/alias_free_activation/torch/resample.py | # Adapted from https://github.com/junjun3518/alias-free-torch under the Apache License 2.0
# LICENSE is in incl_licenses directory.
import torch.nn as nn
from torch.nn import functional as F
from .filter import LowPassFilter1d
from .filter import kaiser_sinc_filter1d
class UpSample1d(nn.Module):
def __init__(s... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/feature_extractor/whisper_enc.py | GPT_SoVITS/feature_extractor/whisper_enc.py | import torch
def get_model():
import whisper
model = whisper.load_model("small", device="cpu")
return model.encoder
def get_content(model=None, wav_16k_tensor=None):
from whisper import log_mel_spectrogram, pad_or_trim
dev = next(model.parameters()).device
mel = log_mel_spectrogram(wav_16... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/feature_extractor/cnhubert.py | GPT_SoVITS/feature_extractor/cnhubert.py | import torch
import os
from transformers import logging as tf_logging
tf_logging.set_verbosity_error()
import logging
logging.getLogger("numba").setLevel(logging.WARNING)
from transformers import (
Wav2Vec2FeatureExtractor,
HubertModel,
)
import utils
import torch.nn as nn
cnhubert_base_path = None
clas... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/feature_extractor/__init__.py | GPT_SoVITS/feature_extractor/__init__.py | from . import cnhubert, whisper_enc
content_module_map = {"cnhubert": cnhubert, "whisper": whisper_enc}
| python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/AR/__init__.py | GPT_SoVITS/AR/__init__.py | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false | |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/AR/text_processing/symbols.py | GPT_SoVITS/AR/text_processing/symbols.py | # modified from https://github.com/yangdongchao/SoundStorm/blob/master/soundstorm/s1/AR/text_processing/symbols.py
# reference: https://github.com/lifeiteng/vall-e
PAD = "_"
PUNCTUATION = ';:,.!?¡¿—…"«»“” '
LETTERS = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz"
IPA_LETTERS = (
"ɑɐɒæɓʙβɔɕçɗɖðʤəɘɚɛɜɝɞɟʄɡɠɢʛ... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/AR/text_processing/phonemizer.py | GPT_SoVITS/AR/text_processing/phonemizer.py | # modified from https://github.com/yangdongchao/SoundStorm/blob/master/soundstorm/s1/AR/text_processing/phonemizer.py
# reference: https://github.com/lifeiteng/vall-e
import itertools
import re
from typing import Dict
from typing import List
import regex
from gruut import sentences
from gruut.const import Sentence
fro... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/AR/text_processing/__init__.py | GPT_SoVITS/AR/text_processing/__init__.py | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false | |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/AR/models/t2s_model.py | GPT_SoVITS/AR/models/t2s_model.py | # modified from https://github.com/yangdongchao/SoundStorm/blob/master/soundstorm/s1/AR/models/t2s_model.py
# reference: https://github.com/lifeiteng/vall-e
import math
from typing import List, Optional
import torch
from torch import nn
from torch.nn import functional as F
from torchmetrics.classification import Multi... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | true |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/AR/models/t2s_lightning_module.py | GPT_SoVITS/AR/models/t2s_lightning_module.py | # modified from https://github.com/yangdongchao/SoundStorm/blob/master/soundstorm/s1/AR/models/t2s_lightning_module.py
# reference: https://github.com/lifeiteng/vall-e
import os
import sys
now_dir = os.getcwd()
sys.path.append(now_dir)
from typing import Dict
import torch
from pytorch_lightning import LightningModule... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/AR/models/utils.py | GPT_SoVITS/AR/models/utils.py | # modified from https://github.com/yangdongchao/SoundStorm/blob/master/soundstorm/s1/AR/models/utils.py
# reference: https://github.com/lifeiteng/vall-e
from typing import Tuple
import torch
import torch.nn.functional as F
def sequence_mask(length, max_length=None):
if max_length is None:
max_length = le... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/AR/models/t2s_model_onnx.py | GPT_SoVITS/AR/models/t2s_model_onnx.py | # modified from https://github.com/yangdongchao/SoundStorm/blob/master/soundstorm/s1/AR/models/t2s_model.py
# reference: https://github.com/lifeiteng/vall-e
import torch
from torch import nn
from torch.nn import functional as F
from torchmetrics.classification import MulticlassAccuracy
from AR.modules.embedding_onnx i... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/AR/models/__init__.py | GPT_SoVITS/AR/models/__init__.py | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false | |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/AR/models/t2s_lightning_module_onnx.py | GPT_SoVITS/AR/models/t2s_lightning_module_onnx.py | # modified from https://github.com/yangdongchao/SoundStorm/blob/master/soundstorm/s1/AR/models/t2s_lightning_module.py
# reference: https://github.com/lifeiteng/vall-e
import os
import sys
now_dir = os.getcwd()
sys.path.append(now_dir)
from typing import Dict
import torch
from pytorch_lightning import LightningModule... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/AR/utils/__init__.py | GPT_SoVITS/AR/utils/__init__.py | import re
def str2bool(str):
return True if str.lower() == "true" else False
def get_newest_ckpt(string_list):
# 定义一个正则表达式模式，用于匹配字符串中的数字
pattern = r"epoch=(\d+)-step=(\d+)\.ckpt"
# 使用正则表达式提取每个字符串中的数字信息，并创建一个包含元组的列表
extracted_info = []
for string in string_list:
match = re.match(patt... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/AR/utils/initialize.py | GPT_SoVITS/AR/utils/initialize.py | #!/usr/bin/env python3
"""Initialize modules for espnet2 neural networks."""
import torch
from typeguard import check_argument_types
def initialize(model: torch.nn.Module, init: str):
"""Initialize weights of a neural network module.
Parameters are initialized using the given method or distribution.
Cu... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
RVC-Boss/GPT-SoVITS | https://github.com/RVC-Boss/GPT-SoVITS/blob/c767f0b83b998e996a4d230d86da575a03f54a3f/GPT_SoVITS/AR/utils/io.py | GPT_SoVITS/AR/utils/io.py | import sys
import torch
import yaml
def load_yaml_config(path):
with open(path) as f:
config = yaml.full_load(f)
return config
def save_config_to_yaml(config, path):
assert path.endswith(".yaml")
with open(path, "w") as f:
f.write(yaml.dump(config))
f.close()
def write_arg... | python | MIT | c767f0b83b998e996a4d230d86da575a03f54a3f | 2026-01-04T14:39:21.477961Z | false |
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