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vibevoice-onnx-v2
FluffyBunnies/vibevoice-onnx-v2
vibevoice-onnx-v2 is a machine learning model from FluffyBunnies. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Microsoft's VibeVoice-Realtime-0.5B converted to ONNX for browser inference.
All-time downloads
156
Public
Repo size
1 GB
Likes
7
Public
Repo makeup
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.onnx1 GB · 99%
At a glance
- Model type
- vibevoice
- Access
- Public
- Created
- Dec 12, 2025
- Updated
- Dec 12, 2025
- SHA
- 0896f020
Model card
From the Hugging Face model README
VibeVoice TTS - ONNX for Browser
Microsoft's VibeVoice-Realtime-0.5B converted to ONNX for browser inference.
Architecture
VibeVoice uses a two-LLM architecture with diffusion-based vocoding:
- Text LM (187 MB INT8) - Processes input text to hidden states
- TTS LM (417 MB INT8) - Generates speech latents autoregressively
- Diffusion Head (25 MB INT4) - Denoises latents
- Vocoder (339 MB INT4) - Converts latents to 24kHz audio
- Acoustic Connector (0.5 MB INT4) - Feeds speech back to TTS LM
Total: ~969 MB quantized (down from 3.8 GB)
Files
text_lm_int8.onnx- Text encodertts_lm_int8.onnx- Speech token generatordiffusion_head_int4.onnx- Latent denoiservocoder_int4.onnx- Audio synthesizeracoustic_connector_int4.onnx- Speech feedbacktokenizer.json- Qwen2 tokenizerconfig.json- Model configuration
Usage
See demo.html for browser usage example.
License
Apache 2.0 (same as original VibeVoice model)
- Type
- vibevoice
- Created
- Dec 12, 2025
- Updated
- Dec 12, 2025