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Upload Retrieval_based_Voice_Conversion_WebUI.ipynb with huggingface_hub

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Retrieval_based_Voice_Conversion_WebUI.ipynb ADDED
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1
+ {
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+ "nbformat": 4,
3
+ "nbformat_minor": 0,
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+ "metadata": {
5
+ "colab": {
6
+ "private_outputs": true,
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+ "provenance": []
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+ },
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+ "kernelspec": {
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+ "name": "python3",
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+ "display_name": "Python 3"
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+ },
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+ "language_info": {
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+ "name": "python"
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+ },
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+ "accelerator": "GPU",
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+ "gpuClass": "standard"
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+ },
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+ "cells": [
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+ {
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+ "cell_type": "markdown",
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+ "source": [
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+ "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/liujing04/Retrieval-based-Voice-Conversion-WebUI/blob/main/Retrieval_based_Voice_Conversion_WebUI.ipynb)"
24
+ ],
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+ "metadata": {
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+ "id": "ZFFCx5J80SGa"
27
+ }
28
+ },
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+ {
30
+ "cell_type": "code",
31
+ "execution_count": null,
32
+ "metadata": {
33
+ "id": "GmFP6bN9dvOq"
34
+ },
35
+ "outputs": [],
36
+ "source": [
37
+ "#@title 查看显卡\n",
38
+ "!nvidia-smi"
39
+ ]
40
+ },
41
+ {
42
+ "cell_type": "code",
43
+ "source": [
44
+ "#@title 安装依赖\n",
45
+ "!apt-get -y install build-essential python3-dev ffmpeg\n",
46
+ "!pip3 install --upgrade setuptools wheel\n",
47
+ "!pip3 install --upgrade pip\n",
48
+ "!pip3 install faiss-cpu==1.7.2 fairseq gradio==3.14.0 ffmpeg ffmpeg-python praat-parselmouth pyworld numpy==1.23.5 numba==0.56.4 librosa==0.9.2"
49
+ ],
50
+ "metadata": {
51
+ "id": "wjddIFr1oS3W"
52
+ },
53
+ "execution_count": null,
54
+ "outputs": []
55
+ },
56
+ {
57
+ "cell_type": "code",
58
+ "source": [
59
+ "#@title 克隆仓库\n",
60
+ "\n",
61
+ "!git clone --depth=1 -b stable https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI\n",
62
+ "%cd /content/Retrieval-based-Voice-Conversion-WebUI\n",
63
+ "!mkdir -p pretrained uvr5_weights"
64
+ ],
65
+ "metadata": {
66
+ "id": "ge_97mfpgqTm"
67
+ },
68
+ "execution_count": null,
69
+ "outputs": []
70
+ },
71
+ {
72
+ "cell_type": "code",
73
+ "source": [
74
+ "#@title 更新仓库(一般无需执行)\n",
75
+ "!git pull"
76
+ ],
77
+ "metadata": {
78
+ "id": "BLDEZADkvlw1"
79
+ },
80
+ "execution_count": null,
81
+ "outputs": []
82
+ },
83
+ {
84
+ "cell_type": "code",
85
+ "source": [
86
+ "#@title 安装aria2\n",
87
+ "!apt -y install -qq aria2"
88
+ ],
89
+ "metadata": {
90
+ "id": "pqE0PrnuRqI2"
91
+ },
92
+ "execution_count": null,
93
+ "outputs": []
94
+ },
95
+ {
96
+ "cell_type": "code",
97
+ "source": [
98
+ "#@title 下载底模\n",
99
+ "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/D32k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o D32k.pth\n",
100
+ "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/D40k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o D40k.pth\n",
101
+ "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/D48k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o D48k.pth\n",
102
+ "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/G32k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o G32k.pth\n",
103
+ "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/G40k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o G40k.pth\n",
104
+ "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/G48k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o G48k.pth\n",
105
+ "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0D32k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o f0D32k.pth\n",
106
+ "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0D40k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o f0D40k.pth\n",
107
+ "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0D48k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o f0D48k.pth\n",
108
+ "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0G32k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o f0G32k.pth\n",
109
+ "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0G40k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o f0G40k.pth\n",
110
+ "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/pretrained/f0G48k.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/pretrained -o f0G48k.pth"
111
+ ],
112
+ "metadata": {
113
+ "id": "UG3XpUwEomUz"
114
+ },
115
+ "execution_count": null,
116
+ "outputs": []
117
+ },
118
+ {
119
+ "cell_type": "code",
120
+ "source": [
121
+ "#@title 下载人声分离模型\n",
122
+ "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/HP2-人声vocals+非人声instrumentals.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/uvr5_weights -o HP2-人声vocals+非人声instrumentals.pth\n",
123
+ "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/HP5-主旋律人声vocals+其他instrumentals.pth -d /content/Retrieval-based-Voice-Conversion-WebUI/uvr5_weights -o HP5-主旋律人声vocals+其他instrumentals.pth"
124
+ ],
125
+ "metadata": {
126
+ "id": "HugjmZqZRuiF"
127
+ },
128
+ "execution_count": null,
129
+ "outputs": []
130
+ },
131
+ {
132
+ "cell_type": "code",
133
+ "source": [
134
+ "#@title 下载hubert_base\n",
135
+ "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/hubert_base.pt -d /content/Retrieval-based-Voice-Conversion-WebUI -o hubert_base.pt"
136
+ ],
137
+ "metadata": {
138
+ "id": "2RCaT9FTR0ej"
139
+ },
140
+ "execution_count": null,
141
+ "outputs": []
142
+ },
143
+ {
144
+ "cell_type": "code",
145
+ "source": [
146
+ "#@title 挂载谷歌云盘\n",
147
+ "\n",
148
+ "from google.colab import drive\n",
149
+ "drive.mount('/content/drive')"
150
+ ],
151
+ "metadata": {
152
+ "id": "jwu07JgqoFON"
153
+ },
154
+ "execution_count": null,
155
+ "outputs": []
156
+ },
157
+ {
158
+ "cell_type": "code",
159
+ "source": [
160
+ "#@title 从谷歌云盘加载打包好的数据集到/content/dataset\n",
161
+ "\n",
162
+ "#@markdown 数据集位置\n",
163
+ "DATASET = \"/content/drive/MyDrive/dataset/lulu20230327_32k.zip\" #@param {type:\"string\"}\n",
164
+ "\n",
165
+ "!mkdir -p /content/dataset\n",
166
+ "!unzip -d /content/dataset -B {DATASET}"
167
+ ],
168
+ "metadata": {
169
+ "id": "Mwk7Q0Loqzjx"
170
+ },
171
+ "execution_count": null,
172
+ "outputs": []
173
+ },
174
+ {
175
+ "cell_type": "code",
176
+ "source": [
177
+ "#@title 重命名数据集中的重名文件\n",
178
+ "!ls -a /content/dataset/\n",
179
+ "!rename 's/(\\w+)\\.(\\w+)~(\\d*)/$1_$3.$2/' /content/dataset/*.*~*"
180
+ ],
181
+ "metadata": {
182
+ "id": "PDlFxWHWEynD"
183
+ },
184
+ "execution_count": null,
185
+ "outputs": []
186
+ },
187
+ {
188
+ "cell_type": "code",
189
+ "source": [
190
+ "#@title 启动web\n",
191
+ "%cd /content/Retrieval-based-Voice-Conversion-WebUI\n",
192
+ "# %load_ext tensorboard\n",
193
+ "# %tensorboard --logdir /content/Retrieval-based-Voice-Conversion-WebUI/logs\n",
194
+ "!python3 infer-web.py --colab --pycmd python3"
195
+ ],
196
+ "metadata": {
197
+ "id": "7vh6vphDwO0b"
198
+ },
199
+ "execution_count": null,
200
+ "outputs": []
201
+ },
202
+ {
203
+ "cell_type": "code",
204
+ "source": [
205
+ "#@title 手动将训练后的模型文件备份到谷歌云盘\n",
206
+ "#@markdown 需要自己查看logs文件夹下模型的文件名,手动修改下方命令末尾的文件名\n",
207
+ "\n",
208
+ "#@markdown 模型名\n",
209
+ "MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
210
+ "#@markdown 模型epoch\n",
211
+ "MODELEPOCH = 9600 #@param {type:\"integer\"}\n",
212
+ "\n",
213
+ "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/drive/MyDrive/{MODELNAME}_D_{MODELEPOCH}.pth\n",
214
+ "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/drive/MyDrive/{MODELNAME}_G_{MODELEPOCH}.pth\n",
215
+ "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/added_*.index /content/drive/MyDrive/\n",
216
+ "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/total_*.npy /content/drive/MyDrive/\n",
217
+ "\n",
218
+ "!cp /content/Retrieval-based-Voice-Conversion-WebUI/weights/{MODELNAME}.pth /content/drive/MyDrive/{MODELNAME}{MODELEPOCH}.pth"
219
+ ],
220
+ "metadata": {
221
+ "id": "FgJuNeAwx5Y_"
222
+ },
223
+ "execution_count": null,
224
+ "outputs": []
225
+ },
226
+ {
227
+ "cell_type": "code",
228
+ "source": [
229
+ "#@title 从谷歌云盘恢复pth\n",
230
+ "#@markdown 需要自己查看logs文件夹下模型的文件名,手动修改下方命令末尾的文件名\n",
231
+ "\n",
232
+ "#@markdown 模型名\n",
233
+ "MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
234
+ "#@markdown 模型epoch\n",
235
+ "MODELEPOCH = 7500 #@param {type:\"integer\"}\n",
236
+ "\n",
237
+ "!mkdir -p /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
238
+ "\n",
239
+ "!cp /content/drive/MyDrive/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth\n",
240
+ "!cp /content/drive/MyDrive/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n",
241
+ "!cp /content/drive/MyDrive/*.index /content/\n",
242
+ "!cp /content/drive/MyDrive/*.npy /content/\n",
243
+ "!cp /content/drive/MyDrive/{MODELNAME}{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/weights/{MODELNAME}.pth"
244
+ ],
245
+ "metadata": {
246
+ "id": "OVQoLQJXS7WX"
247
+ },
248
+ "execution_count": null,
249
+ "outputs": []
250
+ },
251
+ {
252
+ "cell_type": "code",
253
+ "source": [
254
+ "#@title 手动预处理(不推荐)\n",
255
+ "#@markdown 模型名\n",
256
+ "MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
257
+ "#@markdown 采样率\n",
258
+ "BITRATE = 48000 #@param {type:\"integer\"}\n",
259
+ "#@markdown 使用的进程数\n",
260
+ "THREADCOUNT = 8 #@param {type:\"integer\"}\n",
261
+ "\n",
262
+ "!python3 trainset_preprocess_pipeline_print.py /content/dataset {BITRATE} {THREADCOUNT} logs/{MODELNAME} True\n"
263
+ ],
264
+ "metadata": {
265
+ "id": "ZKAyuKb9J6dz"
266
+ },
267
+ "execution_count": null,
268
+ "outputs": []
269
+ },
270
+ {
271
+ "cell_type": "code",
272
+ "source": [
273
+ "#@title 手动提取特征(不推荐)\n",
274
+ "#@markdown 模型名\n",
275
+ "MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
276
+ "#@markdown 使用的进程数\n",
277
+ "THREADCOUNT = 8 #@param {type:\"integer\"}\n",
278
+ "#@markdown 音高提取算法\n",
279
+ "ALGO = \"harvest\" #@param {type:\"string\"}\n",
280
+ "\n",
281
+ "!python3 extract_f0_print.py logs/{MODELNAME} {THREADCOUNT} {ALGO}\n",
282
+ "\n",
283
+ "!python3 extract_feature_print.py cpu 1 0 0 logs/{MODELNAME}\n"
284
+ ],
285
+ "metadata": {
286
+ "id": "CrxJqzAUKmPJ"
287
+ },
288
+ "execution_count": null,
289
+ "outputs": []
290
+ },
291
+ {
292
+ "cell_type": "code",
293
+ "source": [
294
+ "#@title 手动训练(不推荐)\n",
295
+ "#@markdown 模型名\n",
296
+ "MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
297
+ "#@markdown 使用的GPU\n",
298
+ "USEGPU = \"0\" #@param {type:\"string\"}\n",
299
+ "#@markdown 批大小\n",
300
+ "BATCHSIZE = 32 #@param {type:\"integer\"}\n",
301
+ "#@markdown 停止的epoch\n",
302
+ "MODELEPOCH = 3200 #@param {type:\"integer\"}\n",
303
+ "#@markdown 保存epoch间隔\n",
304
+ "EPOCHSAVE = 100 #@param {type:\"integer\"}\n",
305
+ "#@markdown 采样率\n",
306
+ "MODELSAMPLE = \"48k\" #@param {type:\"string\"}\n",
307
+ "#@markdown 是否缓存训练集\n",
308
+ "CACHEDATA = 1 #@param {type:\"integer\"}\n",
309
+ "#@markdown 是否仅保存最新的ckpt文件\n",
310
+ "ONLYLATEST = 0 #@param {type:\"integer\"}\n",
311
+ "\n",
312
+ "!python3 train_nsf_sim_cache_sid_load_pretrain.py -e lulu -sr {MODELSAMPLE} -f0 1 -bs {BATCHSIZE} -g {USEGPU} -te {MODELEPOCH} -se {EPOCHSAVE} -pg pretrained/f0G{MODELSAMPLE}.pth -pd pretrained/f0D{MODELSAMPLE}.pth -l {ONLYLATEST} -c {CACHEDATA}\n"
313
+ ],
314
+ "metadata": {
315
+ "id": "IMLPLKOaKj58"
316
+ },
317
+ "execution_count": null,
318
+ "outputs": []
319
+ },
320
+ {
321
+ "cell_type": "code",
322
+ "source": [
323
+ "#@title 删除其它pth,只留选中的(慎点,仔细看代码)\n",
324
+ "#@markdown 模型名\n",
325
+ "MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
326
+ "#@markdown 选中模型epoch\n",
327
+ "MODELEPOCH = 9600 #@param {type:\"integer\"}\n",
328
+ "\n",
329
+ "!echo \"备份选中的模型。。。\"\n",
330
+ "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/{MODELNAME}_D_{MODELEPOCH}.pth\n",
331
+ "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/{MODELNAME}_G_{MODELEPOCH}.pth\n",
332
+ "\n",
333
+ "!echo \"正在删除。。。\"\n",
334
+ "!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
335
+ "!rm /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*.pth\n",
336
+ "\n",
337
+ "!echo \"恢复选中的模型。。。\"\n",
338
+ "!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth \n",
339
+ "!mv /content/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n",
340
+ "\n",
341
+ "!echo \"删除完成\"\n",
342
+ "!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}"
343
+ ],
344
+ "metadata": {
345
+ "id": "haYA81hySuDl"
346
+ },
347
+ "execution_count": null,
348
+ "outputs": []
349
+ },
350
+ {
351
+ "cell_type": "code",
352
+ "source": [
353
+ "#@title 清除项目下所有文件,只留选中的模型(慎点,仔细看代码)\n",
354
+ "#@markdown 模型名\n",
355
+ "MODELNAME = \"lulu\" #@param {type:\"string\"}\n",
356
+ "#@markdown 选中模型epoch\n",
357
+ "MODELEPOCH = 9600 #@param {type:\"integer\"}\n",
358
+ "\n",
359
+ "!echo \"备份选中的模型。。。\"\n",
360
+ "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/{MODELNAME}_D_{MODELEPOCH}.pth\n",
361
+ "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/{MODELNAME}_G_{MODELEPOCH}.pth\n",
362
+ "\n",
363
+ "!echo \"正在删除。。。\"\n",
364
+ "!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n",
365
+ "!rm -rf /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*\n",
366
+ "\n",
367
+ "!echo \"恢复选中的模型。。。\"\n",
368
+ "!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth \n",
369
+ "!mv /content/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n",
370
+ "\n",
371
+ "!echo \"删除完成\"\n",
372
+ "!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}"
373
+ ],
374
+ "metadata": {
375
+ "id": "QhSiPTVPoIRh"
376
+ },
377
+ "execution_count": null,
378
+ "outputs": []
379
+ }
380
+ ]
381
+ }