From 58a2cd9f68f1ff8fe7821f7c93da28dd0000aa81 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 19:13:19 +0800 Subject: [PATCH 1/5] fix size mismatch for dec.conv_post.weight --- train/process_ckpt.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/train/process_ckpt.py b/train/process_ckpt.py index 849afe5..3e4fc7e 100644 --- a/train/process_ckpt.py +++ b/train/process_ckpt.py @@ -85,9 +85,12 @@ def merge(path1,path2,alpha1,sr,f0,info,name): opt["weight"][key] = (alpha1*(ckpt1[key].float())+(1-alpha1)*(ckpt2[key].float())).half() # except: # pdb.set_trace() + opt["config"] = ckpt1["config"] + ''' if(sr=="40k"):opt["config"] = [1025, 32, 192, 192, 768, 2, 6, 3, 0, "1", [3, 7, 11], [[1, 3, 5], [1, 3, 5], [1, 3, 5]], [10, 10, 2, 2], 512, [16, 16, 4, 4,4], 109, 256, 40000] elif(sr=="48k"):opt["config"] = [1025, 32, 192, 192, 768, 2, 6, 3, 0, "1", [3, 7, 11], [[1, 3, 5], [1, 3, 5], [1, 3, 5]], [10,6,2,2,2], 512, [16, 16, 4, 4], 109, 256, 48000] elif(sr=="32k"):opt["config"] = [513, 32, 192, 192, 768, 2, 6, 3, 0, "1", [3, 7, 11], [[1, 3, 5], [1, 3, 5], [1, 3, 5]], [10, 4, 2, 2, 2], 512, [16, 16, 4, 4,4], 109, 256, 32000] + ''' opt["sr"]=sr opt["f0"]=1 if f0=="是"else 0 opt["info"]=info From 17b789dfbef0af39df95f4b7686c465e75776b77 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 19:16:34 +0800 Subject: [PATCH 2/5] fix size mismatch for dec.conv_post.weight --- train/process_ckpt.py | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/train/process_ckpt.py b/train/process_ckpt.py index 3e4fc7e..3840345 100644 --- a/train/process_ckpt.py +++ b/train/process_ckpt.py @@ -69,10 +69,16 @@ def merge(path1,path2,alpha1,sr,f0,info,name): return opt ckpt1 = torch.load(path1, map_location="cpu") ckpt2 = torch.load(path2, map_location="cpu") - if("model"in ckpt1):ckpt1=extract(ckpt1) - else:ckpt1=ckpt1["weight"] - if("model"in ckpt2):ckpt2=extract(ckpt2) - else:ckpt2=ckpt2["weight"] + opt["config"] = ckpt1["config"] + ''' + if(sr=="40k"):opt["config"] = [1025, 32, 192, 192, 768, 2, 6, 3, 0, "1", [3, 7, 11], [[1, 3, 5], [1, 3, 5], [1, 3, 5]], [10, 10, 2, 2], 512, [16, 16, 4, 4,4], 109, 256, 40000] + elif(sr=="48k"):opt["config"] = [1025, 32, 192, 192, 768, 2, 6, 3, 0, "1", [3, 7, 11], [[1, 3, 5], [1, 3, 5], [1, 3, 5]], [10,6,2,2,2], 512, [16, 16, 4, 4], 109, 256, 48000] + elif(sr=="32k"):opt["config"] = [513, 32, 192, 192, 768, 2, 6, 3, 0, "1", [3, 7, 11], [[1, 3, 5], [1, 3, 5], [1, 3, 5]], [10, 4, 2, 2, 2], 512, [16, 16, 4, 4,4], 109, 256, 32000] + ''' + if("model"in ckpt1): ckpt1=extract(ckpt1) + else: ckpt1=ckpt1["weight"] + if("model"in ckpt2): ckpt2=extract(ckpt2) + else: ckpt2=ckpt2["weight"] if(sorted(list(ckpt1.keys()))!=sorted(list(ckpt2.keys()))):return "Fail to merge the models. The model architectures are not the same." opt = OrderedDict() opt["weight"] = {} @@ -85,12 +91,6 @@ def merge(path1,path2,alpha1,sr,f0,info,name): opt["weight"][key] = (alpha1*(ckpt1[key].float())+(1-alpha1)*(ckpt2[key].float())).half() # except: # pdb.set_trace() - opt["config"] = ckpt1["config"] - ''' - if(sr=="40k"):opt["config"] = [1025, 32, 192, 192, 768, 2, 6, 3, 0, "1", [3, 7, 11], [[1, 3, 5], [1, 3, 5], [1, 3, 5]], [10, 10, 2, 2], 512, [16, 16, 4, 4,4], 109, 256, 40000] - elif(sr=="48k"):opt["config"] = [1025, 32, 192, 192, 768, 2, 6, 3, 0, "1", [3, 7, 11], [[1, 3, 5], [1, 3, 5], [1, 3, 5]], [10,6,2,2,2], 512, [16, 16, 4, 4], 109, 256, 48000] - elif(sr=="32k"):opt["config"] = [513, 32, 192, 192, 768, 2, 6, 3, 0, "1", [3, 7, 11], [[1, 3, 5], [1, 3, 5], [1, 3, 5]], [10, 4, 2, 2, 2], 512, [16, 16, 4, 4,4], 109, 256, 32000] - ''' opt["sr"]=sr opt["f0"]=1 if f0=="是"else 0 opt["info"]=info From bca5c1f1ad70d7ecc0783553d40b029b420424fa 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 19:19:02 +0800 Subject: [PATCH 3/5] fix size mismatch for dec.conv_post.weight --- train/process_ckpt.py | 13 +++++++------ 1 file changed, 7 insertions(+), 6 deletions(-) diff --git a/train/process_ckpt.py b/train/process_ckpt.py index 3840345..0be10b7 100644 --- a/train/process_ckpt.py +++ b/train/process_ckpt.py @@ -69,12 +69,7 @@ def merge(path1,path2,alpha1,sr,f0,info,name): return opt ckpt1 = torch.load(path1, map_location="cpu") ckpt2 = torch.load(path2, map_location="cpu") - opt["config"] = ckpt1["config"] - ''' - if(sr=="40k"):opt["config"] = [1025, 32, 192, 192, 768, 2, 6, 3, 0, "1", [3, 7, 11], [[1, 3, 5], [1, 3, 5], [1, 3, 5]], [10, 10, 2, 2], 512, [16, 16, 4, 4,4], 109, 256, 40000] - elif(sr=="48k"):opt["config"] = [1025, 32, 192, 192, 768, 2, 6, 3, 0, "1", [3, 7, 11], [[1, 3, 5], [1, 3, 5], [1, 3, 5]], [10,6,2,2,2], 512, [16, 16, 4, 4], 109, 256, 48000] - elif(sr=="32k"):opt["config"] = [513, 32, 192, 192, 768, 2, 6, 3, 0, "1", [3, 7, 11], [[1, 3, 5], [1, 3, 5], [1, 3, 5]], [10, 4, 2, 2, 2], 512, [16, 16, 4, 4,4], 109, 256, 32000] - ''' + cfg = ckpt1["config"] if("model"in ckpt1): ckpt1=extract(ckpt1) else: ckpt1=ckpt1["weight"] if("model"in ckpt2): ckpt2=extract(ckpt2) @@ -91,6 +86,12 @@ def merge(path1,path2,alpha1,sr,f0,info,name): opt["weight"][key] = (alpha1*(ckpt1[key].float())+(1-alpha1)*(ckpt2[key].float())).half() # except: # pdb.set_trace() + opt["config"] = cfg + ''' + if(sr=="40k"):opt["config"] = [1025, 32, 192, 192, 768, 2, 6, 3, 0, "1", [3, 7, 11], [[1, 3, 5], [1, 3, 5], [1, 3, 5]], [10, 10, 2, 2], 512, [16, 16, 4, 4,4], 109, 256, 40000] + elif(sr=="48k"):opt["config"] = [1025, 32, 192, 192, 768, 2, 6, 3, 0, "1", [3, 7, 11], [[1, 3, 5], [1, 3, 5], [1, 3, 5]], [10,6,2,2,2], 512, [16, 16, 4, 4], 109, 256, 48000] + elif(sr=="32k"):opt["config"] = [513, 32, 192, 192, 768, 2, 6, 3, 0, "1", [3, 7, 11], [[1, 3, 5], [1, 3, 5], [1, 3, 5]], [10, 4, 2, 2, 2], 512, [16, 16, 4, 4,4], 109, 256, 32000] + ''' opt["sr"]=sr opt["f0"]=1 if f0=="是"else 0 opt["info"]=info From a8c9ab7fb984c5e944e7d99f0192b01f8dcb0f9a 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 19:54:41 +0800 Subject: [PATCH 4/5] update notebook --- Retrieval_based_Voice_Conversion_WebUI.ipynb | 225 ++++++++++--------- 1 file changed, 119 insertions(+), 106 deletions(-) diff --git a/Retrieval_based_Voice_Conversion_WebUI.ipynb b/Retrieval_based_Voice_Conversion_WebUI.ipynb index e13a938..06b7f45 100644 --- a/Retrieval_based_Voice_Conversion_WebUI.ipynb +++ b/Retrieval_based_Voice_Conversion_WebUI.ipynb @@ -1,12 +1,30 @@ { + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "private_outputs": true, + "provenance": [] + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + }, + "accelerator": "GPU", + "gpuClass": "standard" + }, "cells": [ { - "attachments": {}, "cell_type": "markdown", - "metadata": {}, "source": [ "[![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)" - ] + ], + "metadata": { + "id": "ZFFCx5J80SGa" + } }, { "cell_type": "code", @@ -22,53 +40,48 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "wjddIFr1oS3W" - }, - "outputs": [], "source": [ "#@title 安装依赖\n", "!apt-get -y install build-essential python3-dev ffmpeg\n", "!pip3 install --upgrade setuptools wheel\n", "!pip3 install --upgrade pip\n", "!pip3 install faiss-gpu fairseq gradio ffmpeg ffmpeg-python praat-parselmouth pyworld numpy==1.23.5 numba==0.56.4 librosa==0.9.2" - ] + ], + "metadata": { + "id": "wjddIFr1oS3W" + }, + "execution_count": null, + "outputs": [] }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "ge_97mfpgqTm" - }, - "outputs": [], "source": [ "#@title 克隆仓库\n", "\n", "!git clone --depth=1 https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI\n", "%cd /content/Retrieval-based-Voice-Conversion-WebUI\n", "!mkdir -p pretrained uvr5_weights" - ] + ], + "metadata": { + "id": "ge_97mfpgqTm" + }, + "execution_count": null, + "outputs": [] }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "BLDEZADkvlw1" - }, - "outputs": [], "source": [ "#@title 更新仓库（一般无需执行）\n", "!git pull" - ] + ], + "metadata": { + "id": "BLDEZADkvlw1" + }, + "execution_count": null, + "outputs": [] }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "UG3XpUwEomUz" - }, - "outputs": [], "source": [ "#@title 下载底模\n", "!apt -y install -qq aria2\n", @@ -89,47 +102,59 @@ "!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\n", "\n", "!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" - ] + ], + "metadata": { + "id": "UG3XpUwEomUz" + }, + "execution_count": null, + "outputs": [] }, { "cell_type": "code", - "execution_count": null, + "source": [ + "#@title 挂载谷歌云盘\n", + "\n", + "from google.colab import drive\n", + "drive.mount('/content/drive')" + ], "metadata": { - "id": "Mwk7Q0Loqzjx" + "id": "jwu07JgqoFON" }, - "outputs": [], + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", "source": [ "#@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_32k.zip\" #@param {type:\"string\"}\n", "\n", - "from google.colab import drive\n", - "drive.mount('/content/drive')\n", "!mkdir -p /content/dataset\n", "!unzip -d /content/dataset {DATASET}" - ] + ], + "metadata": { + "id": "Mwk7Q0Loqzjx" + }, + "execution_count": null, + "outputs": [] }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "7vh6vphDwO0b" - }, - "outputs": [], "source": [ "#@title 启动web\n", "%cd /content/Retrieval-based-Voice-Conversion-WebUI\n", "!python3 infer-web.py --colab --pycmd python3" - ] + ], + "metadata": { + "id": "7vh6vphDwO0b" + }, + "execution_count": null, + "outputs": [] }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "FgJuNeAwx5Y_" - }, - "outputs": [], "source": [ "#@title 手动将训练后的模型文件备份到谷歌云盘\n", "#@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", @@ -137,7 +162,7 @@ "#@markdown 模型名\n", "MODELNAME = \"lulu\" #@param {type:\"string\"}\n", "#@markdown 模型epoch\n", - "MODELEPOCH = 6600 #@param {type:\"integer\"}\n", + "MODELEPOCH = 7700 #@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", @@ -145,15 +170,15 @@ "!cp /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}/total_*.npy /content/drive/MyDrive/\n", "\n", "!cp /content/Retrieval-based-Voice-Conversion-WebUI/weights/{MODELNAME}.pth /content/drive/MyDrive/{MODELNAME}{MODELEPOCH}.pth" - ] + ], + "metadata": { + "id": "FgJuNeAwx5Y_" + }, + "execution_count": null, + "outputs": [] }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "OVQoLQJXS7WX" - }, - "outputs": [], "source": [ "#@title 从谷歌云盘恢复pth\n", "#@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", @@ -161,7 +186,7 @@ "#@markdown 模型名\n", "MODELNAME = \"lulu\" #@param {type:\"string\"}\n", "#@markdown 模型epoch\n", - "MODELEPOCH = 250 #@param {type:\"integer\"}\n", + "MODELEPOCH = 7700 #@param {type:\"integer\"}\n", "\n", "!mkdir -p /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n", "\n", @@ -170,72 +195,72 @@ "!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" - ] + ], + "metadata": { + "id": "OVQoLQJXS7WX" + }, + "execution_count": null, + "outputs": [] }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "id": "ZKAyuKb9J6dz" - }, - "outputs": [], "source": [ "#@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 48000 8 logs/{MODELNAME} True\n" + ], + "metadata": { + "id": "ZKAyuKb9J6dz" + }, + "execution_count": null, + "outputs": [] }, { "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" - ] + ], + "metadata": { + "id": "CrxJqzAUKmPJ" + }, + "execution_count": null, + "outputs": [] }, { "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", + "MODELEPOCH = 800 #@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 {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" - ] + ], + "metadata": { + "id": "IMLPLKOaKj58" + }, + "execution_count": null, + "outputs": [] }, { "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", + "MODELEPOCH = 7700 #@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", @@ -251,21 +276,21 @@ "\n", "!echo \"删除完成\"\n", "!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}" - ] + ], + "metadata": { + "id": "haYA81hySuDl" + }, + "execution_count": null, + "outputs": [] }, { "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", + "MODELEPOCH = 7700 #@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", @@ -281,24 +306,12 @@ "\n", "!echo \"删除完成\"\n", "!ls /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}" - ] + ], + "metadata": { + "id": "QhSiPTVPoIRh" + }, + "execution_count": null, + "outputs": [] } - ], - "metadata": { - "accelerator": "GPU", - "colab": { - "private_outputs": true, - "provenance": [] - }, - "gpuClass": "standard", - "kernelspec": { - "display_name": "Python 3", - "name": "python3" - }, - "language_info": { - "name": "python" - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} + ] +} \ No newline at end of file From ffef3678cbdb51f73eb99d38fcb8ce5ca4f59b1b 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, 9 Apr 2023 00:36:56 +0800 Subject: [PATCH 5/5] add tensorboard by @KakaruHayate --- Retrieval_based_Voice_Conversion_WebUI.ipynb | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/Retrieval_based_Voice_Conversion_WebUI.ipynb b/Retrieval_based_Voice_Conversion_WebUI.ipynb index 06b7f45..eb549d8 100644 --- a/Retrieval_based_Voice_Conversion_WebUI.ipynb +++ b/Retrieval_based_Voice_Conversion_WebUI.ipynb @@ -129,7 +129,7 @@ "#@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_32k.zip\" #@param {type:\"string\"}\n", + "DATASET = \"/content/drive/MyDrive/dataset/lulucall_48k.zip\" #@param {type:\"string\"}\n", "\n", "!mkdir -p /content/dataset\n", "!unzip -d /content/dataset {DATASET}" @@ -145,6 +145,8 @@ "source": [ "#@title 启动web\n", "%cd /content/Retrieval-based-Voice-Conversion-WebUI\n", + "%load_ext tensorboard\n", + "%tensorboard --logdir /content/Retrieval-based-Voice-Conversion-WebUI/logs\n", "!python3 infer-web.py --colab --pycmd python3" ], "metadata": { @@ -162,7 +164,7 @@ "#@markdown 模型名\n", "MODELNAME = \"lulu\" #@param {type:\"string\"}\n", "#@markdown 模型epoch\n", - "MODELEPOCH = 7700 #@param {type:\"integer\"}\n", + "MODELEPOCH = 7500 #@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", @@ -186,7 +188,7 @@ "#@markdown 模型名\n", "MODELNAME = \"lulu\" #@param {type:\"string\"}\n", "#@markdown 模型epoch\n", - "MODELEPOCH = 7700 #@param {type:\"integer\"}\n", + "MODELEPOCH = 6000 #@param {type:\"integer\"}\n", "\n", "!mkdir -p /content/Retrieval-based-Voice-Conversion-WebUI/logs/{MODELNAME}\n", "\n", @@ -239,9 +241,9 @@ "#@markdown 模型名\n", "MODELNAME = \"lulu\" #@param {type:\"string\"}\n", "#@markdown 停止的epoch\n", - "MODELEPOCH = 800 #@param {type:\"integer\"}\n", + "MODELEPOCH = 2500 #@param {type:\"integer\"}\n", "#@markdown 保存epoch间隔\n", - "EPOCHSAVE = 20 #@param {type:\"integer\"}\n", + "EPOCHSAVE = 100 #@param {type:\"integer\"}\n", "#@markdown 采样率\n", "MODELSAMPLE = \"48k\" #@param {type:\"string\"}\n", "\n",