spark-vibevoice/demo/VibeVoice_colab.ipynb

VibeVoice Colab — T4 Quickstart (1.5B)

This page provides a quickstart guide to run VibeVoice on Colab with T4.

T4 only support 1.5B model due to GPU memory. For the real WOW TTS experience, please try the 7B model on a stronger GPU.

Step 1: Use T4

Use T4 in Colab: go to Runtime → Change runtime type → Hardware accelerator: GPU → T4.

In [ ]:

import torch
print(torch.cuda.is_available())
!nvidia-smi

Step 2: Env Install

In [ ]:

!git clone https://github.com/microsoft/VibeVoice.git

import os
os.chdir("./VibeVoice")

!apt update && apt install ffmpeg -y
!pip install -e .

Step 3: Run VibeVoice

In [ ]:

# First download checkpoint takes ~3 minutes
!python demo/inference_from_file.py --model_path microsoft/VibeVoice-1.5B --txt_path demo/text_examples/2p_short.txt --speaker_names Alice Frank

from IPython.display import Audio
Audio("./outputs/2p_short_generated.wav")

Create your own example

In [ ]:

text = """Speaker 1: Can I try VibeVoice with my own example?
Speaker 2: Of course! VibeVoice is open-source, built to benefit everyone — you’re welcome to try it out."""
with open("demo/text_examples/my_example.txt", "w", encoding="utf-8") as f:
    f.write(text)

In [ ]:

!python demo/inference_from_file.py --model_path microsoft/VibeVoice-1.5B --txt_path demo/text_examples/my_example.txt --speaker_names Alice Frank
Audio("./outputs/my_example_generated.wav")