Instructions to use AlicanKiraz0/Kizagan-TTS-v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- VoxCPM
How to use AlicanKiraz0/Kizagan-TTS-v1.0 with VoxCPM:
import soundfile as sf from voxcpm import VoxCPM model = VoxCPM.from_pretrained("AlicanKiraz0/Kizagan-TTS-v1.0") wav = model.generate( text="VoxCPM is an innovative end-to-end TTS model from ModelBest, designed to generate highly expressive speech.", prompt_wav_path=None, # optional: path to a prompt speech for voice cloning prompt_text=None, # optional: reference text cfg_value=2.0, # LM guidance on LocDiT, higher for better adherence to the prompt, but maybe worse inference_timesteps=10, # LocDiT inference timesteps, higher for better result, lower for fast speed normalize=True, # enable external TN tool denoise=True, # enable external Denoise tool retry_badcase=True, # enable retrying mode for some bad cases (unstoppable) retry_badcase_max_times=3, # maximum retrying times retry_badcase_ratio_threshold=6.0, # maximum length restriction for bad case detection (simple but effective), it could be adjusted for slow pace speech ) sf.write("output.wav", wav, 16000) print("saved: output.wav") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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pipeline_tag: text-to-speech
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base_model: openbmb/VoxCPM2
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base_model_relation: finetune
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datasets:
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- AlicanKiraz0/TR-Voice-TTS
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tags:
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- turkish
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- voxcpm2
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- Technical report: [Zhou et al., VoxCPM2 Technical Report (2026)](https://arxiv.org/abs/2606.06928)
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- Earlier work: [VoxCPM (2025)](https://arxiv.org/abs/2509.24650)
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This is an independent community adaptation; OpenBMB authorship applies to the foundation model and upstream implementation. See [LICENSE](LICENSE) and [NOTICE](NOTICE) for preserved licensing and attribution.
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pipeline_tag: text-to-speech
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base_model: openbmb/VoxCPM2
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base_model_relation: finetune
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tags:
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- turkish
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- voxcpm2
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- Technical report: [Zhou et al., VoxCPM2 Technical Report (2026)](https://arxiv.org/abs/2606.06928)
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- Earlier work: [VoxCPM (2025)](https://arxiv.org/abs/2509.24650)
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This is an independent community adaptation; OpenBMB authorship applies to the foundation model and upstream implementation. See [LICENSE](LICENSE) and [NOTICE](NOTICE) for preserved licensing and attribution.
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