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so-vits-svc
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Merge branch 'svc-develop-team:4.0' into 4.0-768

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YuriHead 2023-04-15 03:03:18 +08:00 committed by GitHub
parent 047aa4ad3c 237f351089
commit da1462ed94
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2 changed files with 97 additions and 7 deletions
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15
utils.py
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@ -205,7 +205,7 @@ def f0_to_coarse(f0):
f0_mel[f0_mel <= 1] = 1
f0_mel[f0_mel > f0_bin - 1] = f0_bin - 1
f0_coarse = (f0_mel + 0.5).int() if is_torch else np.rint(f0_mel).astype(np.int)
f0_coarse = (f0_mel + 0.5).long() if is_torch else np.rint(f0_mel).astype(np.int)
assert f0_coarse.max() <= 255 and f0_coarse.min() >= 1, (f0_coarse.max(), f0_coarse.min())
return f0_coarse
@ -499,6 +499,19 @@ def repeat_expand_2d(content, target_len):
return target
def mix_model(model_paths,mix_rate,mode):
mix_rate = torch.FloatTensor(mix_rate)/100
model_tem = torch.load(model_paths[0])
models = [torch.load(path)["model"] for path in model_paths]
if mode == 0:
mix_rate = F.softmax(mix_rate,dim=0)
for k in model_tem["model"].keys():
model_tem["model"][k] = torch.zeros_like(model_tem["model"][k])
for i,model in enumerate(models):
model_tem["model"][k] += model[k]*mix_rate[i]
torch.save(model_tem,os.path.join(os.path.curdir,"output.pth"))
return os.path.join(os.path.curdir,"output.pth")
class HParams():
def __init__(self, **kwargs):
for k, v in kwargs.items():

89
webUI.py
View File

@ -9,6 +9,8 @@ import numpy as np
import soundfile
from inference.infer_tool import Svc
import logging
import re
import json
import subprocess
import edge_tts
@ -18,6 +20,8 @@ import librosa
import torch
import time
import traceback
from itertools import chain
from utils import mix_model
logging.getLogger('numba').setLevel(logging.WARNING)
logging.getLogger('markdown_it').setLevel(logging.WARNING)
@ -35,6 +39,41 @@ if torch.cuda.is_available():
device_name = torch.cuda.get_device_properties(i).name
cuda[f"CUDA:{i} {device_name}"] = f"cuda:{i}"
def upload_mix_append_file(files,sfiles):
try:
if(sfiles == None):
file_paths = [file.name for file in files]
else:
file_paths = [file.name for file in chain(files,sfiles)]
p = {file:100 for file in file_paths}
return file_paths,mix_model_output1.update(value=json.dumps(p,indent=2))
except Exception as e:
if debug: traceback.print_exc()
raise gr.Error(e)
def mix_submit_click(js,mode):
try:
assert js.lstrip()!=""
modes = {"凸组合":0, "线性组合":1}
mode = modes[mode]
data = json.loads(js)
data = list(data.items())
model_path,mix_rate = zip(*data)
path = mix_model(model_path,mix_rate,mode)
return f"成功，文件被保存在了{path}"
except Exception as e:
if debug: traceback.print_exc()
raise gr.Error(e)
def updata_mix_info(files):
try:
if files == None : return mix_model_output1.update(value="")
p = {file.name:100 for file in files}
return mix_model_output1.update(value=json.dumps(p,indent=2))
except Exception as e:
if debug: traceback.print_exc()
raise gr.Error(e)
def modelAnalysis(model_path,config_path,cluster_model_path,device,enhance):
global model
try:
@ -162,7 +201,7 @@ with gr.Blocks(
),
) as app:
with gr.Tabs():
with gr.TabItem("Inference"):
with gr.TabItem("推理"):
gr.Markdown(value="""
So-vits-svc 4.0 推理 webui
""")
@ -217,12 +256,49 @@ with gr.Blocks(
vc_output1 = gr.Textbox(label="Output Message")
with gr.Column():
vc_output2 = gr.Audio(label="Output Audio", interactive=False)
with gr.Row(variant="panel"):
with gr.Column():
gr.Markdown(value="""
<font size=2> WebUI设置</font>
with gr.TabItem("小工具/实验室特性"):
gr.Markdown(value="""
<font size=2> So-vits-svc 4.0 小工具/实验室特性</font>
""")
debug_button = gr.Checkbox(label="Debug模式，如果向社区反馈BUG需要打开，打开后控制台可以显示具体错误提示", value=debug)
with gr.Tabs():
with gr.TabItem("静态声线融合"):
gr.Markdown(value="""
<font size=2> 介绍:该功能可以将多个声音模型合成为一个声音模型(多个模型参数的凸组合或线性组合)，从而制造出现实中不存在的声线
注意：
1.该功能仅支持单说话人的模型
2.如果强行使用多说话人模型，需要保证多个模型的说话人数量相同，这样可以混合同一个SpaekerID下的声音
3.保证所有待混合模型的config.json中的model字段是相同的
4.输出的混合模型可以使用待合成模型的任意一个config.json，但聚类模型将不能使用
5.批量上传模型的时候最好把模型放到一个文件夹选中后一起上传
6.混合比例调整建议大小在0-100之间，也可以调为其他数字，但在线性组合模式下会出现未知的效果
7.混合完毕后，文件将会保存在项目根目录中，文件名为output.pth
8.凸组合模式会将混合比例执行Softmax使混合比例相加为1，而线性组合模式不会
</font>
""")
mix_model_path = gr.Files(label="选择需要混合模型文件")
mix_model_upload_button = gr.UploadButton("选择/追加需要混合模型文件", file_count="multiple", variant="primary")
mix_model_output1 = gr.Textbox(
label="混合比例调整，单位/%",
interactive = True
)
mix_mode = gr.Radio(choices=["凸组合", "线性组合"], label="融合模式",value="凸组合",interactive = True)
mix_submit = gr.Button("声线融合启动", variant="primary")
mix_model_output2 = gr.Textbox(
label="Output Message"
)
mix_model_path.change(updata_mix_info,[mix_model_path],[mix_model_output1])
mix_model_upload_button.upload(upload_mix_append_file, [mix_model_upload_button,mix_model_path], [mix_model_path,mix_model_output1])
mix_submit.click(mix_submit_click, [mix_model_output1,mix_mode], [mix_model_output2])
with gr.Tabs():
with gr.Row(variant="panel"):
with gr.Column():
gr.Markdown(value="""
<font size=2> WebUI设置</font>
""")
debug_button = gr.Checkbox(label="Debug模式，如果向社区反馈BUG需要打开，打开后控制台可以显示具体错误提示", value=debug)
vc_submit.click(vc_fn, [sid, vc_input3, vc_transform,auto_f0,cluster_ratio, slice_db, noise_scale,pad_seconds,cl_num,lg_num,lgr_num,F0_mean_pooling,enhancer_adaptive_key], [vc_output1, vc_output2])
vc_submit2.click(vc_fn2, [sid, vc_input3, vc_transform,auto_f0,cluster_ratio, slice_db, noise_scale,pad_seconds,cl_num,lg_num,lgr_num,text2tts,tts_rate,tts_voice,F0_mean_pooling,enhancer_adaptive_key], [vc_output1, vc_output2])
debug_button.change(debug_change,[],[])
@ -231,3 +307,4 @@ with gr.Blocks(
app.launch()