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Add RVC support

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Francis LaBounty
2023-07-19 19:12:27 -06:00
parent ff1e45fcb8
commit c87b3c81fb
10 changed files with 764 additions and 364 deletions
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111
generate.ipynb
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@@ -2,25 +2,37 @@
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from IPython.display import Audio\n",
"from scipy.io.wavfile import write as write_wav\n",
"\n",
"from bark.api import generate_audio\n",
"from transformers import BertTokenizer\n",
"from bark.generation import SAMPLE_RATE, preload_models, codec_decode, generate_coarse, generate_fine, generate_text_semantic\n",
"\n",
"# Enter your prompt and speaker here\n",
"text_prompt = \"Hello, my name is Serpy. And, uh — and I like pizza. [laughs]\"\n",
"voice_name = \"speaker_0\" # use your custom voice name here if you have one\n",
"\n",
"# load the tokenizer\n",
"tokenizer = BertTokenizer.from_pretrained(\"bert-base-multilingual-cased\")"
"from bark.generation import SAMPLE_RATE, preload_models, codec_decode, generate_coarse, generate_fine, generate_text_semantic"
]
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"semantic_path = \"semantic_output/pytorch_model.bin\" # set to None if you don't want to use finetuned semantic\n",
"coarse_path = \"coarse_output/pytorch_model.bin\" # set to None if you don't want to use finetuned coarse\n",
"fine_path = \"fine_output/pytorch_model.bin\" # set to None if you don't want to use finetuned fine\n",
"use_rvc = True # Set to False to use bark without RVC\n",
"rvc_name = 'mi-test'\n",
"rvc_path = f\"Retrieval-based-Voice-Conversion-WebUI/weights/{rvc_name}.pth\"\n",
"index_path = f\"Retrieval-based-Voice-Conversion-WebUI/logs/{rvc_name}/added_IVF256_Flat_nprobe_1_{rvc_name}_v2.index\"\n",
"device=\"cuda:0\"\n",
"is_half=True"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -28,14 +40,21 @@
"preload_models(\n",
" text_use_gpu=True,\n",
" text_use_small=False,\n",
" text_model_path=semantic_path,\n",
" coarse_use_gpu=True,\n",
" coarse_use_small=False,\n",
" coarse_model_path=coarse_path,\n",
" fine_use_gpu=True,\n",
" fine_use_small=False,\n",
" fine_model_path=fine_path,\n",
" codec_use_gpu=True,\n",
" force_reload=False,\n",
" path=\"models\"\n",
")"
")\n",
"\n",
"if use_rvc:\n",
" from rvc_infer import get_vc, vc_single\n",
" get_vc(rvc_path, device, is_half)"
]
},
{
@@ -45,7 +64,28 @@
"outputs": [],
"source": [
"# simple generation\n",
"audio_array = generate_audio(text_prompt, history_prompt=voice_name, text_temp=0.7, waveform_temp=0.7)"
"text_prompt = \"Hello, my name is Serpy. And, uh — and I like pizza. [laughs]\"\n",
"voice_name = \"speaker_0\" # use your custom voice name here if you have on\n",
"\n",
"filepath = \"output/audio.wav\"\n",
"audio_array = generate_audio(text_prompt, history_prompt=voice_name, text_temp=0.7, waveform_temp=0.7)\n",
"write_wav(filepath, SAMPLE_RATE, audio_array)\n",
"\n",
"if use_rvc:\n",
" index_rate = 0.75\n",
" f0up_key = -6\n",
" filter_radius = 3\n",
" rms_mix_rate = 0.25\n",
" protect = 0.33\n",
" resample_sr = SAMPLE_RATE\n",
" f0method = \"harvest\" #harvest or pm\n",
" try:\n",
" audio_array = vc_single(0,filepath,f0up_key,None,f0method,index_path,index_rate, filter_radius=filter_radius, resample_sr=resample_sr, rms_mix_rate=rms_mix_rate, protect=protect)\n",
" except:\n",
" audio_array = vc_single(0,filepath,f0up_key,None,'pm',index_path,index_rate, filter_radius=filter_radius, resample_sr=resample_sr, rms_mix_rate=rms_mix_rate, protect=protect)\n",
" write_wav(filepath, SAMPLE_RATE, audio_array)\n",
"\n",
"Audio(audio_array, rate=SAMPLE_RATE)"
]
},
{
@@ -55,6 +95,11 @@
"outputs": [],
"source": [
"# generation with more control\n",
"text_prompt = \"Hello, my name is Serpy. And, uh — and I like pizza. [laughs]\"\n",
"voice_name = \"speaker_0\" # use your custom voice name here if you have on\n",
"\n",
"filepath = \"output/audio.wav\"\n",
"\n",
"x_semantic = generate_text_semantic(\n",
" text_prompt,\n",
" history_prompt=voice_name,\n",
@@ -75,32 +120,26 @@
" history_prompt=voice_name,\n",
" temp=0.5,\n",
")\n",
"audio_array = codec_decode(x_fine_gen)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from IPython.display import Audio\n",
"# play audio\n",
"audio_array = codec_decode(x_fine_gen)\n",
"write_wav(filepath, SAMPLE_RATE, audio_array)\n",
"\n",
"if use_rvc:\n",
" index_rate = 0.75\n",
" f0up_key = -6\n",
" filter_radius = 3\n",
" rms_mix_rate = 0.25\n",
" protect = 0.33\n",
" resample_sr = SAMPLE_RATE\n",
" f0method = \"harvest\" #harvest or pm\n",
" try:\n",
" audio_array = vc_single(0,filepath,f0up_key,None,f0method,index_path,index_rate, filter_radius=filter_radius, resample_sr=resample_sr, rms_mix_rate=rms_mix_rate, protect=protect)\n",
" except:\n",
" audio_array = vc_single(0,filepath,f0up_key,None,'pm',index_path,index_rate, filter_radius=filter_radius, resample_sr=resample_sr, rms_mix_rate=rms_mix_rate, protect=protect)\n",
" write_wav(filepath, SAMPLE_RATE, audio_array)\n",
"\n",
"Audio(audio_array, rate=SAMPLE_RATE)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from scipy.io.wavfile import write as write_wav\n",
"# save audio\n",
"filepath = \"/output/audio.wav\" # change this to your desired output path\n",
"write_wav(filepath, SAMPLE_RATE, audio_array)"
]
},
{
"cell_type": "code",
"execution_count": null,