zhao-kun/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)
Implements quantization (FP8) and layer offloading strategies to run on consumer GPUs with 10GB+ VRAM, achieving up to 7GB memory savings at the cost of 3.5x slower inference. Built with a TypeScript/React frontend and Python FastAPI backend, containerized for single-command Docker deployment with automatic HuggingFace model downloads. Supports LoRA fine-tuning with TensorBoard integration, bilingual UI (English/Chinese), and persistent project management including speaker profiles, dialog editing, and generation history with configurable batch operations.
453 stars.
Stars
453
Forks
56
Language
Python
License
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Category
Last pushed
Feb 23, 2026
Commits (30d)
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