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import json |
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from pathlib import Path |
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from huggingface_hub import hf_hub_download |
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from common.log import logger |
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def download_bert_models(): |
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with open("bert/bert_models.json", "r") as fp: |
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models = json.load(fp) |
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for k, v in models.items(): |
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local_path = Path("bert").joinpath(k) |
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for file in v["files"]: |
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if not Path(local_path).joinpath(file).exists(): |
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logger.info(f"Downloading {k} {file}") |
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hf_hub_download( |
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v["repo_id"], |
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file, |
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local_dir=local_path, |
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local_dir_use_symlinks=False, |
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) |
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def download_pretrained_models(): |
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files = ["G_0.safetensors", "D_0.safetensors", "DUR_0.safetensors"] |
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local_path = Path("pretrained") |
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for file in files: |
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if not Path(local_path).joinpath(file).exists(): |
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logger.info(f"Downloading pretrained {file}") |
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hf_hub_download( |
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"litagin/Style-Bert-VITS2-1.0-base", |
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file, |
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local_dir=local_path, |
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local_dir_use_symlinks=False, |
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) |
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def download_jvnv_models(): |
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files = [ |
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"jvnv-F1/config.json", |
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"jvnv-F1/jvnv-F1.safetensors", |
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"jvnv-F1/style_vectors.npy", |
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"jvnv-F2/config.json", |
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"jvnv-F2/jvnv-F2.safetensors", |
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"jvnv-F2/style_vectors.npy", |
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"jvnv-M1/config.json", |
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"jvnv-M1/jvnv-M1.safetensors", |
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"jvnv-M1/style_vectors.npy", |
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"jvnv-M2/config.json", |
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"jvnv-M2/jvnv-M2.safetensors", |
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"jvnv-M2/style_vectors.npy", |
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] |
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for file in files: |
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if not Path(f"model_assets/{file}").exists(): |
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logger.info(f"Downloading {file}") |
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hf_hub_download( |
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"litagin/style_bert_vits2_jvnv", |
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file, |
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local_dir="model_assets", |
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local_dir_use_symlinks=False, |
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) |
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download_bert_models() |
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download_pretrained_models() |
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download_jvnv_models() |
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