Kit-Lemonfoot
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ad0dca9
I hate hf
Browse files- GPT_SoVITS/GPT_weights/MoriCalliope_GPT.ckpt +3 -0
- GPT_SoVITS/GPT_weights/ShioriNovella_GPT.ckpt +3 -0
- GPT_SoVITS/GPT_weights/VestiaZeta_GPT.ckpt +3 -0
- GPT_SoVITS/SoVITS_weights/MoriCalliope_SoVITS.pth +3 -0
- GPT_SoVITS/SoVITS_weights/ShioriNovella_SoVITS.pth +3 -0
- GPT_SoVITS/SoVITS_weights/VestiaZeta_SoVITS.pth +3 -0
- GPT_SoVITS/inference_webui.py +8 -8
GPT_SoVITS/GPT_weights/MoriCalliope_GPT.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:621062461bb7bdfb985d75496ba9732e9e048672e637e8a1b07dc31800c53d93
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size 155087286
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GPT_SoVITS/GPT_weights/ShioriNovella_GPT.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:5c21bb81b13e061166012dce6c763854980844e71a3fb3a876ae728bdcf734ee
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size 155086989
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GPT_SoVITS/GPT_weights/VestiaZeta_GPT.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:c0fa433e4533b64d50a2bb7ecc201486e4815e56dba5a95fa434dcc7f6a4151b
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size 155086925
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GPT_SoVITS/SoVITS_weights/MoriCalliope_SoVITS.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:cd88dd2cecf0e2517db1a8f868ca0ff5df6a4968542e8e53f6fb0e2dd076e494
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size 84885457
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GPT_SoVITS/SoVITS_weights/ShioriNovella_SoVITS.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:96c6ae44851f8b236c197d41ae5daf4f3e6000339e80ad8b83e05d6095d90e6e
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size 84882761
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GPT_SoVITS/SoVITS_weights/VestiaZeta_SoVITS.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:efc1cdb92f52e7bd41dcd720e70f6797b83ddbd9473b7080a55f9fd3db6f08b2
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size 84885412
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GPT_SoVITS/inference_webui.py
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@@ -572,10 +572,10 @@ def change_choices():
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pretrained_sovits_name = "GPT_SoVITS/pretrained_models/s2G488k.pth"
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pretrained_gpt_name = "GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt"
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SoVITS_weight_root = "SoVITS_weights"
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GPT_weight_root = "GPT_weights"
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os.makedirs(SoVITS_weight_root, exist_ok=True)
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os.makedirs(GPT_weight_root, exist_ok=True)
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def get_weights_names():
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SoVITS_names, GPT_names = get_weights_names()
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print(os.getcwd())
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for r, _, f in os.walk(os.getcwd()):
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for n in f:
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print(os.path.join(r, n))
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#Gradio preload
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text = gr.TextArea(label="Input Text", value="Hello there! This is test audio of a new text to speech tool.")
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pretrained_sovits_name = "GPT_SoVITS/pretrained_models/s2G488k.pth"
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pretrained_gpt_name = "GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt"
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SoVITS_weight_root = "GPT_SoVITS/SoVITS_weights"
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GPT_weight_root = "GPT_SoVITS/GPT_weights"
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#os.makedirs(SoVITS_weight_root, exist_ok=True)
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#os.makedirs(GPT_weight_root, exist_ok=True)
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def get_weights_names():
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SoVITS_names, GPT_names = get_weights_names()
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#print(os.getcwd())
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#for r, _, f in os.walk(os.getcwd()):
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# for n in f:
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# print(os.path.join(r, n))
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#Gradio preload
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text = gr.TextArea(label="Input Text", value="Hello there! This is test audio of a new text to speech tool.")
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