Spaces:
Running
Running
File size: 3,306 Bytes
fe184c5 |
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 |
import argparse
import json
from pathlib import Path
from huggingface_hub import hf_hub_download
from common.log import logger
def download_bert_models():
with open("bert/bert_models.json", "r") as fp:
models = json.load(fp)
for k, v in models.items():
local_path = Path("bert").joinpath(k)
for file in v["files"]:
if not Path(local_path).joinpath(file).exists():
logger.info(f"Downloading {k} {file}")
hf_hub_download(
v["repo_id"],
file,
local_dir=local_path,
local_dir_use_symlinks=False,
)
def download_slm_model():
local_path = Path("slm/wavlm-base-plus/")
file = "pytorch_model.bin"
if not Path(local_path).joinpath(file).exists():
logger.info(f"Downloading wavlm-base-plus {file}")
hf_hub_download(
"microsoft/wavlm-base-plus",
file,
local_dir=local_path,
local_dir_use_symlinks=False,
)
def download_pretrained_models():
files = ["G_0.safetensors", "D_0.safetensors", "DUR_0.safetensors"]
local_path = Path("pretrained")
for file in files:
if not Path(local_path).joinpath(file).exists():
logger.info(f"Downloading pretrained {file}")
hf_hub_download(
"litagin/Style-Bert-VITS2-1.0-base",
file,
local_dir=local_path,
local_dir_use_symlinks=False,
)
def download_jp_extra_pretrained_models():
files = ["G_0.safetensors", "D_0.safetensors", "WD_0.safetensors"]
local_path = Path("pretrained_jp_extra")
for file in files:
if not Path(local_path).joinpath(file).exists():
logger.info(f"Downloading JP-Extra pretrained {file}")
hf_hub_download(
"litagin/Style-Bert-VITS2-2.0-base-JP-Extra",
file,
local_dir=local_path,
local_dir_use_symlinks=False,
)
def download_jvnv_models():
files = [
"jvnv-F1-jp/config.json",
"jvnv-F1-jp/jvnv-F1-jp_e160_s14000.safetensors",
"jvnv-F1-jp/style_vectors.npy",
"jvnv-F2-jp/config.json",
"jvnv-F2-jp/jvnv-F2_e166_s20000.safetensors",
"jvnv-F2-jp/style_vectors.npy",
"jvnv-M1-jp/config.json",
"jvnv-M1-jp/jvnv-M1-jp_e158_s14000.safetensors",
"jvnv-M1-jp/style_vectors.npy",
"jvnv-M2-jp/config.json",
"jvnv-M2-jp/jvnv-M2-jp_e159_s17000.safetensors",
"jvnv-M2-jp/style_vectors.npy",
]
for file in files:
if not Path(f"model_assets/{file}").exists():
logger.info(f"Downloading {file}")
hf_hub_download(
"litagin/style_bert_vits2_jvnv",
file,
local_dir="model_assets",
local_dir_use_symlinks=False,
)
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--skip_jvnv", action="store_true")
args = parser.parse_args()
download_bert_models()
download_slm_model()
download_pretrained_models()
download_jp_extra_pretrained_models()
if not args.skip_jvnv:
download_jvnv_models()
|