Spaces:
Build error
Build error
File size: 12,600 Bytes
5891805 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 |
# Prediction interface for Cog ⚙️
# https://github.com/replicate/cog/blob/main/docs/python.md
import os
import sys
import shutil
import zipfile
import urllib.request
from argparse import Namespace
from cog import BasePredictor, Input, Path as CogPath
sys.path.insert(0, os.path.abspath("src"))
import main as m
def download_online_model(url, dir_name):
print(f"[~] Downloading voice model with name {dir_name}...")
zip_name = url.split("/")[-1]
extraction_folder = os.path.join(m.rvc_models_dir, dir_name)
if os.path.exists(extraction_folder):
print(f"Voice model directory {dir_name} already exists! Skipping download.")
return
if "pixeldrain.com" in url:
url = f"https://pixeldrain.com/api/file/{zip_name}"
urllib.request.urlretrieve(url, zip_name)
print("[~] Extracting zip...")
with zipfile.ZipFile(zip_name, "r") as zip_ref:
for member in zip_ref.infolist():
# skip directories
if member.is_dir():
continue
# create target directory if it does not exist
os.makedirs(extraction_folder, exist_ok=True)
# extract only files directly to extraction_folder
with zip_ref.open(member) as source, open(
os.path.join(extraction_folder, os.path.basename(member.filename)), "wb"
) as target:
shutil.copyfileobj(source, target)
print(f"[+] {dir_name} Model successfully downloaded!")
class Predictor(BasePredictor):
def setup(self) -> None:
"""Load the model into memory to make running multiple predictions efficient"""
pass
def predict(
self,
song_input: CogPath = Input(
description="Upload your audio file here.",
default=None,
),
rvc_model: str = Input(
description="RVC model for a specific voice. If using a custom model, this should match the name of the downloaded model. If a 'custom_rvc_model_download_url' is provided, this will be automatically set to the name of the downloaded model.",
default="Squidward",
choices=[
"Squidward",
"MrKrabs",
"Plankton",
"Drake",
"Vader",
"Trump",
"Biden",
"Obama",
"Guitar",
"Voilin",
"CUSTOM",
"SamA", # TODO REMOVE THIS
],
),
custom_rvc_model_download_url: str = Input(
description="URL to download a custom RVC model. If provided, the model will be downloaded (if it doesn't already exist) and used for prediction, regardless of the 'rvc_model' value.",
default=None,
),
pitch_change: str = Input(
description="Adjust pitch of AI vocals. Options: `no-change`, `male-to-female`, `female-to-male`.",
default="no-change",
choices=["no-change", "male-to-female", "female-to-male"],
),
index_rate: float = Input(
description="Control how much of the AI's accent to leave in the vocals.",
default=0.5,
ge=0,
le=1,
),
filter_radius: int = Input(
description="If >=3: apply median filtering median filtering to the harvested pitch results.",
default=3,
ge=0,
le=7,
),
rms_mix_rate: float = Input(
description="Control how much to use the original vocal's loudness (0) or a fixed loudness (1).",
default=0.25,
ge=0,
le=1,
),
pitch_detection_algorithm: str = Input(
description="Best option is rmvpe (clarity in vocals), then mangio-crepe (smoother vocals).",
default="rmvpe",
choices=["rmvpe", "mangio-crepe"],
),
crepe_hop_length: int = Input(
description="When `pitch_detection_algo` is set to `mangio-crepe`, this controls how often it checks for pitch changes in milliseconds. Lower values lead to longer conversions and higher risk of voice cracks, but better pitch accuracy.",
default=128,
),
protect: float = Input(
description="Control how much of the original vocals' breath and voiceless consonants to leave in the AI vocals. Set 0.5 to disable.",
default=0.33,
ge=0,
le=0.5,
),
main_vocals_volume_change: float = Input(
description="Control volume of main AI vocals. Use -3 to decrease the volume by 3 decibels, or 3 to increase the volume by 3 decibels.",
default=0,
),
backup_vocals_volume_change: float = Input(
description="Control volume of backup AI vocals.",
default=0,
),
instrumental_volume_change: float = Input(
description="Control volume of the background music/instrumentals.",
default=0,
),
pitch_change_all: float = Input(
description="Change pitch/key of background music, backup vocals and AI vocals in semitones. Reduces sound quality slightly.",
default=0,
),
reverb_size: float = Input(
description="The larger the room, the longer the reverb time.",
default=0.15,
ge=0,
le=1,
),
reverb_wetness: float = Input(
description="Level of AI vocals with reverb.",
default=0.2,
ge=0,
le=1,
),
reverb_dryness: float = Input(
description="Level of AI vocals without reverb.",
default=0.8,
ge=0,
le=1,
),
reverb_damping: float = Input(
description="Absorption of high frequencies in the reverb.",
default=0.7,
ge=0,
le=1,
),
output_format: str = Input(
description="wav for best quality and large file size, mp3 for decent quality and small file size.",
default="mp3",
choices=["mp3", "wav"],
),
) -> CogPath:
"""
Runs a single prediction on the model.
Required Parameters:
song_input (CogPath): Upload your audio file here.
rvc_model (str): RVC model for a specific voice. Default is "Squidward". If a 'custom_rvc_model_download_url' is provided, this will be automatically set to the name of the downloaded model.
pitch_change (float): Change pitch of AI vocals in octaves. Set to 0 for no change. Generally, use 1 for male to female conversions and -1 for vice-versa.
Optional Parameters:
custom_rvc_model_download_url (str): URL to download a custom RVC model. If provided, the model will be downloaded (if it doesn't already exist) and used for prediction, regardless of the 'rvc_model' value. Defaults to None.
index_rate (float): Control how much of the AI's accent to leave in the vocals. 0 <= INDEX_RATE <= 1. Defaults to 0.5.
filter_radius (int): If >=3: apply median filtering median filtering to the harvested pitch results. 0 <= FILTER_RADIUS <= 7. Defaults to 3.
rms_mix_rate (float): Control how much to use the original vocal's loudness (0) or a fixed loudness (1). 0 <= RMS_MIX_RATE <= 1. Defaults to 0.25.
pitch_detection_algorithm (str): Best option is rmvpe (clarity in vocals), then mangio-crepe (smoother vocals). Defaults to "rmvpe".
crepe_hop_length (int): Controls how often it checks for pitch changes in milliseconds when using mangio-crepe algo specifically. Lower values leads to longer conversions and higher risk of voice cracks, but better pitch accuracy. Defaults to 128.
protect (float): Control how much of the original vocals' breath and voiceless consonants to leave in the AI vocals. Set 0.5 to disable. 0 <= PROTECT <= 0.5. Defaults to 0.33.
main_vocals_volume_change (float): Control volume of main AI vocals. Use -3 to decrease the volume by 3 decibels, or 3 to increase the volume by 3 decibels. Defaults to 0.
backup_vocals_volume_change (float): Control volume of backup AI vocals. Defaults to 0.
instrumental_volume_change (float): Control volume of the background music/instrumentals. Defaults to 0.
pitch_change_all (float): Change pitch/key of background music, backup vocals and AI vocals in semitones. Reduces sound quality slightly. Defaults to 0.
reverb_size (float): The larger the room, the longer the reverb time. 0 <= REVERB_SIZE <= 1. Defaults to 0.15.
reverb_wetness (float): Level of AI vocals with reverb. 0 <= REVERB_WETNESS <= 1. Defaults to 0.2.
reverb_dryness (float): Level of AI vocals without reverb. 0 <= REVERB_DRYNESS <= 1. Defaults to 0.8.
reverb_damping (float): Absorption of high frequencies in the reverb. 0 <= REVERB_DAMPING <= 1. Defaults to 0.7.
output_format (str): wav for best quality and large file size, mp3 for decent quality and small file size. Defaults to "mp3".
Returns:
CogPath: The output path of the generated audio file.
"""
if custom_rvc_model_download_url:
custom_rvc_model_download_name = urllib.parse.unquote(
custom_rvc_model_download_url.split("/")[-1]
)
custom_rvc_model_download_name = os.path.splitext(
custom_rvc_model_download_name
)[0]
print(
f"[!] The model will be downloaded as '{custom_rvc_model_download_name}'."
)
download_online_model(
url=custom_rvc_model_download_url,
dir_name=custom_rvc_model_download_name,
)
rvc_model = custom_rvc_model_download_name
else:
print(
"[!] Since URL was provided, we will try to download the model and use it (even if `rvc_model` is not set to 'CUSTOM')."
)
# Convert pitch_change from string to numerical value for processing
# 0 for no change, 1 for male to female, -1 for female to male
if pitch_change == "no-change":
pitch_change = 0
elif pitch_change == "male-to-female":
pitch_change = 1
else: # pitch_change == "female-to-male"
pitch_change = -1
args = Namespace(
song_input=str(song_input),
rvc_dirname=(model_dir_name := rvc_model),
pitch_change=pitch_change,
keep_files=(keep_files := False),
index_rate=index_rate,
filter_radius=filter_radius,
rms_mix_rate=rms_mix_rate,
pitch_detection_algo=pitch_detection_algorithm,
crepe_hop_length=crepe_hop_length,
protect=protect,
main_vol=main_vocals_volume_change,
backup_vol=backup_vocals_volume_change,
inst_vol=instrumental_volume_change,
pitch_change_all=pitch_change_all,
reverb_size=reverb_size,
reverb_wetness=reverb_wetness,
reverb_dryness=reverb_dryness,
reverb_damping=reverb_damping,
output_format=output_format,
)
rvc_dirname = args.rvc_dirname
if not os.path.exists(os.path.join(m.rvc_models_dir, rvc_dirname)):
raise Exception(
f"The folder {os.path.join(m.rvc_models_dir, rvc_dirname)} does not exist."
)
cover_path = m.song_cover_pipeline(
args.song_input,
rvc_dirname,
args.pitch_change,
args.keep_files,
main_gain=args.main_vol,
backup_gain=args.backup_vol,
inst_gain=args.inst_vol,
index_rate=args.index_rate,
filter_radius=args.filter_radius,
rms_mix_rate=args.rms_mix_rate,
f0_method=args.pitch_detection_algo,
crepe_hop_length=args.crepe_hop_length,
protect=args.protect,
pitch_change_all=args.pitch_change_all,
reverb_rm_size=args.reverb_size,
reverb_wet=args.reverb_wetness,
reverb_dry=args.reverb_dryness,
reverb_damping=args.reverb_damping,
output_format=args.output_format,
)
print(f"[+] Cover generated at {cover_path}")
# Return the output path
return CogPath(cover_path) |