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19b877f | 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 | """Download pretrained models from Hugging Face Hub if not already present."""
import sys
from pathlib import Path
ROOT = Path(__file__).resolve().parent
PRETRAINED_DIR = ROOT / "pretrained_models"
MODEL_DIR_SVS = PRETRAINED_DIR / "SoulX-Singer"
MODEL_DIR_PREPROCESS = PRETRAINED_DIR / "SoulX-Singer-Preprocess"
def ensure_pretrained_models():
"""Download SoulX-Singer and Preprocess models from Hugging Face Hub if not present."""
if (MODEL_DIR_SVS / "model.pt").exists() and MODEL_DIR_PREPROCESS.exists():
print("Pretrained models already present, skipping download.", flush=True)
return
try:
from huggingface_hub import snapshot_download
except ImportError:
print(
"huggingface_hub not installed. Install with: pip install huggingface_hub",
file=sys.stderr,
flush=True,
)
raise
PRETRAINED_DIR.mkdir(parents=True, exist_ok=True)
if not (MODEL_DIR_SVS / "model.pt").exists():
print("Downloading SoulX-Singer model...", flush=True)
snapshot_download(
repo_id="Soul-AILab/SoulX-Singer",
local_dir=str(MODEL_DIR_SVS),
local_dir_use_symlinks=False,
)
print("SoulX-Singer model ready.", flush=True)
if not MODEL_DIR_PREPROCESS.exists():
print("Downloading SoulX-Singer-Preprocess models...", flush=True)
snapshot_download(
repo_id="Soul-AILab/SoulX-Singer-Preprocess",
local_dir=str(MODEL_DIR_PREPROCESS),
local_dir_use_symlinks=False,
)
print("SoulX-Singer-Preprocess models ready.", flush=True)
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