vibevoice-intel-igpu

VibeVoice 1.5B - Intel iGPU Optimized

🚀 Microsoft VibeVoice Optimized for Intel iGPU

This is the INT8 quantized version of Microsoft's VibeVoice 1.5B model, optimized for Intel integrated GPUs.

Features

• Multi-speaker synthesis (up to 4 speakers)
• 90-minute continuous generation
• 2-3x faster than CPU
• 55% smaller than original model
• Intel iGPU optimized via OpenVINO

Model Details

• Base Model: microsoft/VibeVoice-1.5B
• Parameters: 2.7B
• Quantization: INT8 dynamic
• Size: ~2.3GB (from 5.4GB)
• Sample Rate: 24kHz

Usage

import torch
from vibevoice_intel import VibeVoiceIntelOptimized

# Load quantized model
model = VibeVoiceIntelOptimized.from_pretrained(
    "magicunicorn/vibevoice-intel-igpu"
)

# Generate multi-speaker dialogue
script = '''
Speaker 1: Hello, welcome to our podcast!
Speaker 2: Thanks for having me.
'''

audio = model.synthesize(script)

Hardware Requirements

• Intel Iris Xe, Arc iGPU, or UHD Graphics
• 8GB+ system RAM
• OpenVINO runtime

Performance

• Inference: 2-3x faster than CPU
• Power: 15W (vs 35W+ CPU)
• Memory: 4GB peak usage

License

MIT

Citation

Original model: Microsoft VibeVoice Optimization: Magic Unicorn Inc