From 78562af83d28f5307f4ae7b71aa1e2aacfd23d11 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E6=BA=90=E6=96=87=E9=9B=A8?= <41315874+fumiama@users.noreply.github.com> Date: Sun, 2 Apr 2023 16:07:02 +0800 Subject: [PATCH] =?UTF-8?q?=E4=B8=BA=E7=AC=94=E8=AE=B0=E6=9C=AC=E6=B7=BB?= =?UTF-8?q?=E5=8A=A0=E6=9B=B4=E5=A4=9A=E5=8A=9F=E8=83=BD?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- Retrieval_based_Voice_Conversion_WebUI.ipynb | 119 +++++++++++++++++-- 1 file changed, 106 insertions(+), 13 deletions(-) diff --git a/Retrieval_based_Voice_Conversion_WebUI.ipynb b/Retrieval_based_Voice_Conversion_WebUI.ipynb index 125beb1..e13a938 100644 --- a/Retrieval_based_Voice_Conversion_WebUI.ipynb +++ b/Retrieval_based_Voice_Conversion_WebUI.ipynb @@ -20,11 +20,6 @@ "!nvidia-smi" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [] - }, { "cell_type": "code", "execution_count": null, @@ -75,6 +70,7 @@ }, "outputs": [], "source": [ + "#@title 下载底模\n", "!apt -y install -qq aria2\n", "!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", "!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", @@ -106,7 +102,7 @@ "#@title 从谷歌云盘加载打包好的数据集到/content/dataset\n", "\n", "#@markdown 数据集位置\n", - "DATASET = \"/content/drive/MyDrive/dataset/lulu20230327.zip\" #@param {type:\"string\"}\n", + "DATASET = \"/content/drive/MyDrive/dataset/lulu20230327_32k.zip\" #@param {type:\"string\"}\n", "\n", "from google.colab import drive\n", "drive.mount('/content/drive')\n", @@ -141,7 +137,7 @@ "#@markdown 模型名\n", "MODELNAME = \"lulu\" #@param {type:\"string\"}\n", "#@markdown 模型epoch\n", - "MODELEPOCH = 3540 #@param {type:\"integer\"}\n", + "MODELEPOCH = 6600 #@param {type:\"integer\"}\n", "\n", "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/drive/MyDrive/{MODELNAME}_D_{MODELEPOCH}.pth\n", "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/drive/MyDrive/{MODELNAME}_G_{MODELEPOCH}.pth\n", @@ -165,10 +161,15 @@ "#@markdown 模型名\n", "MODELNAME = \"lulu\" #@param {type:\"string\"}\n", "#@markdown 模型epoch\n", - "MODELEPOCH = 730 #@param {type:\"integer\"}\n", + "MODELEPOCH = 250 #@param {type:\"integer\"}\n", + "\n", + "!mkdir -p /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n", "\n", "!cp /content/drive/MyDrive/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth\n", - "!cp /content/drive/MyDrive/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth" + "!cp /content/drive/MyDrive/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n", + "!cp /content/drive/MyDrive/*.index /content/\n", + "!cp /content/drive/MyDrive/*.npy /content/\n", + "!cp /content/drive/MyDrive/{MODELNAME}{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/weights/{MODELNAME}.pth" ] }, { @@ -179,15 +180,107 @@ }, "outputs": [], "source": [ - "#@title 手动训练（不推荐）\n", + "#@title 手动预处理（不推荐）\n", "#@markdown 模型名\n", "MODELNAME = \"lulu\" #@param {type:\"string\"}\n", "\n", - "!python3 trainset_preprocess_pipeline_print.py /content/dataset 32000 8 logs/{MODELNAME} True\n", + "!python3 trainset_preprocess_pipeline_print.py /content/dataset 32000 8 logs/{MODELNAME} True\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "CrxJqzAUKmPJ" + }, + "outputs": [], + "source": [ + "#@title 手动提取特征（不推荐）\n", + "#@markdown 模型名\n", + "MODELNAME = \"lulu\" #@param {type:\"string\"}\n", "\n", - "!python3 extract_feature_print.py 1 0 0 logs/{MODELNAME}\n", + "!python3 extract_feature_print.py 1 0 0 logs/{MODELNAME}\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "IMLPLKOaKj58" + }, + "outputs": [], + "source": [ + "#@title 手动训练（不推荐）\n", + "#@markdown 模型名\n", + "MODELNAME = \"lulu\" #@param {type:\"string\"}\n", + "#@markdown 停止的epoch\n", + "MODELEPOCH = 700 #@param {type:\"integer\"}\n", + "#@markdown 保存epoch间隔\n", + "EPOCHSAVE = 20 #@param {type:\"integer\"}\n", + "#@markdown 采样率\n", + "MODELSAMPLE = \"48k\" #@param {type:\"string\"}\n", "\n", - "!python3 train_nsf_sim_cache_sid_load_pretrain.py -e lulu -sr 32k -f0 0 -g 0 -bs 4 -te 10 -se 5 -pg pretrained/G32k.pth -pd pretrained/D32k.pth -l 0 -c 0\n" + "!python3 train_nsf_sim_cache_sid_load_pretrain.py -e lulu -sr {MODELSAMPLE} -f0 1 -bs 32 -g 0 -te {MODELEPOCH} -se {EPOCHSAVE} -pg pretrained/f0G{MODELSAMPLE}.pth -pd pretrained/f0D{MODELSAMPLE}.pth -l 0 -c 1\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "haYA81hySuDl" + }, + "outputs": [], + "source": [ + "#@title 删除其它pth，只留选中的（慎点，仔细看代码）\n", + "#@markdown 模型名\n", + "MODELNAME = \"lulu\" #@param {type:\"string\"}\n", + "#@markdown 选中模型epoch\n", + "MODELEPOCH = 6600 #@param {type:\"integer\"}\n", + "\n", + "!echo \"备份选中的模型。。。\"\n", + "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/{MODELNAME}_D_{MODELEPOCH}.pth\n", + "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/{MODELNAME}_G_{MODELEPOCH}.pth\n", + "\n", + "!echo \"正在删除。。。\"\n", + "!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n", + "!rm /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*.pth\n", + "\n", + "!echo \"恢复选中的模型。。。\"\n", + "!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth \n", + "!mv /content/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n", + "\n", + "!echo \"删除完成\"\n", + "!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "QhSiPTVPoIRh" + }, + "outputs": [], + "source": [ + "#@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", + "#@markdown 模型名\n", + "MODELNAME = \"lulu\" #@param {type:\"string\"}\n", + "#@markdown 选中模型epoch\n", + "MODELEPOCH = 1500 #@param {type:\"integer\"}\n", + "\n", + "!echo \"备份选中的模型。。。\"\n", + "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth /content/{MODELNAME}_D_{MODELEPOCH}.pth\n", + "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth /content/{MODELNAME}_G_{MODELEPOCH}.pth\n", + "\n", + "!echo \"正在删除。。。\"\n", + "!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n", + "!rm -rf /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/*\n", + "\n", + "!echo \"恢复选中的模型。。。\"\n", + "!mv /content/{MODELNAME}_D_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/G_{MODELEPOCH}.pth \n", + "!mv /content/{MODELNAME}_G_{MODELEPOCH}.pth /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/D_{MODELEPOCH}.pth\n", + "\n", + "!echo \"删除完成\"\n", + "!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}" ] } ],