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VibeVoiceFusion
Python

VibeVoiceFusion

VibeVoiceFusion is a full-stack, multi-speaker voice generation web system featuring LoRA fine-tuning, batch generation, and VRAM optimization. Based on Microsoft's VibeVoice (AR + diffusion architecture)

by zhao-kun · GitHub
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aigcautoregressive-modelsfine-tuningPython
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In plain words

Generate high-quality, multi-speaker synthetic voices through a user-friendly web application without needing coding skills.

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484483
2026-07-202026-08-31
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📄 About

VibeVoiceFusion is a full-stack, multi-speaker voice generation web system featuring LoRA fine-tuning, batch generation, and VRAM optimization. Based on Microsoft's VibeVoice (AR + diffusion architecture)

VibeVoiceFusion has 483 stars on GitHub. It has been forked 60 times. VibeVoiceFusion is written mainly in Python. It has been in active development since 2025. Its main topics are aigc, autoregressive-models, fine-tuning, language-model.

Frequently asked questions

What is VibeVoiceFusion?

VibeVoiceFusion is a full-stack, multi-speaker voice generation web system featuring LoRA fine-tuning, batch generation, and VRAM optimization. Based on Microsoft's VibeVoice (AR + diffusion architecture)

Is VibeVoiceFusion open source?

VibeVoiceFusion is an open-source project.

Is VibeVoiceFusion free?

Yes. VibeVoiceFusion is free and open source — you can use, modify and self-host it.

What language is VibeVoiceFusion written in?

VibeVoiceFusion is written mainly in Python.

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