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Endy2001/vui-tts
vui-tts is a machine learning model from Endy2001. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repository hosts the Vui 100M base checkpoint and Fluac tokenizer used by the fluxions/vui project.
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Updated Dec 14, 2025
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From the Hugging Face model README
This repository hosts the Vui 100M base checkpoint and Fluac tokenizer used by the fluxions/vui project.
Contents:
vui-100m-base.pt: Vui TTS checkpoint (100M parameters).fluac-22hz-22khz.pt: Fluac codec checkpoint.LICENSE: MIT license from the upstream project.import torch
from huggingface_hub import hf_hub_download
from vui.inference import render
from vui.model import Vui
# Download checkpoints from this repo (returns local file paths)
ckpt = hf_hub_download("Endy2001/vui-tts", "vui-100m-base.pt")
codec_ckpt = hf_hub_download("Endy2001/vui-tts", "fluac-22hz-22khz.pt")
# Load model (pass codec checkpoint so it doesn't fetch from upstream)
model = Vui.from_pretrained_inf(ckpt, codec_checkpoint=codec_ckpt).to("cuda")
text = "Hello! This is Vui speaking from Hugging Face."
with torch.inference_mode():
audio = render(model, text)[0].cpu().numpy()
# `audio` is a mono waveform at 24 kHz
vllm serve only supports text-generation transformer architectures, so this checkpoint cannot be served directly via vllm serve Endy2001/vui-tts. Use the Python API above or the scripts in the upstream repo instead.