Version 2.6 by René Schmidt on 2025/03/10 19:43

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1 conda create -n openvoice python=3.9
2 conda activate openvoice
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5 git clone [[https:~~/~~/github.com/myshell-ai/openVoice.git>>https://github.com/myshell-ai/openVoice.git]]
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7 cd openVoice
8 pip install -e .
9 mkdir checkpoints_v2
10 cd checkpoints_v2
11 wget [[https:~~/~~/myshell-public-repo-host.s3.amazonaws.com/openvoice/checkpoints_v2_0417.zip>>https://myshell-public-repo-host.s3.amazonaws.com/openvoice/checkpoints_v2_0417.zip]]
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13 unzip checkpoints_v2_0417.zip
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16 mv checkpoints_v2 ~~/OpenVoice
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23 pip install git+https:~/~/github.com/cocktailpeanut/ov2.git
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27 cd ..
28 pip install git+https:~/~/github.com/myshell-ai/MeloTTS.git
29 python -m unidic download
30 cd resources
31 python3
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35 import os
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37 import torch
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39 from openvoice import se_extractor
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41 from openvoice.api import ToneColorConverter
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43 ckpt_converter = 'checkpoints_v2/converter'
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45 device = "cuda:0" if torch.cuda.is_available() else "cpu"
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47 output_dir = 'outputs_v2'
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49 tone_color_converter = ToneColorConverter(f' {ckpt_converter} /config.json', device=device)
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51 tone_color_converter.load_ckpt(f' {ckpt_converter} /checkpoint.pth')
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53 os.makedirs (output_dir, exist_ok=True)
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55 reference_speaker = 'resources/example_reference.mp3'
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57 target_se, audio_name = se_extractor.get_se(reference_speaker, tone_color_converter, vad=False)
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59 from melo.api import TTS
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61 src_path = f' {output_dir} /tmp.wav'
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63 speed = 1.0
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