Task: text-to-speech Tags: omnivoice, safetensors, zero-shot, multilingual, voice-cloning, voice-design, text-to-speech, aae, aal, aao, ab, abb, abn, abr, abs, abv, acm, acw, acx, adf, adx, ady, aeb, aec, af, afb, afo, ahl, ahs, ajg, aju, ala, aln, alo, am, amu, an, anc, ank, anp, anw, aom, apc, apd, arb, arq, ars, ary, arz, as, ast, avl, awo, ayl, ayp, az, ba, bag, bas, bax, bba, bbj, bbl, bbu, bce, bci, bcs, bcy, bda, bde, bdm, be, beb, bew, bfd, bft, bg, bgp, bhb, bhh, bho, bhp, bhr, bjj, bjk, bjn, bjt, bkh, bkm, bky, bmm, bmq, bn, bnm, bnn, bns, bo, bou, bqg, br, bra, brh, bri, brx, bs, bsh, bsj, bsk, btm, btv, bug, bum, buo, bux, bwr, bxf, byc, bys, byv, byx, bzc, bzw, ca, ccg, ceb, cen, cfa, cgg, chq, cjk, ckb, ckl, ckr, cky, cnh, cpy, cs, cte, ctl, cut, cux, cv, cy, da, dag, dar, dav, dbd, dcc, de, deg, dgh, dgo, dje, dmk, dml, dru, dty, dua, dv, dyu, dzg, ebr, ebu, ego, eiv, eko, ekr, el, elm, en, eo, es, esu, et, eto, ets, etu, eu, ewo, ext, eyo, fa, fan, fat, ff, ffm, fi, fia, fil, fip, fkk, fmp, fr, fub, fuc, fue, fuf, fuh, fui, fuq, fuv, fy, ga, gbm, gbr, gby, gcc, gdf, gej, ges, ggg, gid, gig, giz, gjk, gju, gl, glw, gn, gol, gom, gsl, gu, gui, gur, guz, gv, gwc, gwe, gwt, gya, gyz, ha, hah, hao, haw, haz, hbb, he, hem, hi, hia, hkk, hla, hno, hoj, hr, hsb, ht, hu, hue, hul, hux, hwo, hy, hz, ia, ibb, id, ida, idu, ig, ijc, ijn, ik, ikw, is, ish, iso, it, its, itw, itz, ja, jal, jax, jgo, jmx, jns, jqr, juk, juo, jv, ka, kab, kai, kaj, kam, kbd, kbl, kbt, kcq, kdh, kea, keu, kfe, kfk, kfp, khg, khw, kj, kjc, kjk, kk, kln, kls, km, kmr, kmy, kn, kna, knn, ko, kol, koo, kpo, kqo, ks, ksd, ksf, kto, kuh, kvx, kw, kwm, kxp, ky, kyx, lag, lb, lcm, ldb, lg, lij, lir, lkb, lla, ln, lnu, lo, loa, lrk, lss, lt, ltg, lto, lua, luo, lus, lv, lwg, mab, maf, mai, mau, max, mbo, mcf, mcn, mcx, mdd, mde, mdf, mek, mer, meu, mfm, mfn, mfo, mfv, mgg, mgi, mhk, mhr, mi, mig, miu, mk, mkf, mki, ml, mlq, mn, mne, mni, mqy, mr, mrj, mrr, mrt, ms, mse, msh, msw, mt, mtr, mtu, mtx, mua, mug, mui, mve, mvy, mxs, mxu, mxy, my, myv, mzl, nal, nan, nap, nb, nbh, ncf, nco, ncx, ndi, ng, ngi, nhg, nhi, nhn, nhq, nja, nl, nla, nlv, nmg, nmz, nn, nnh, no, noe, npi, nso, ny, nyu, oc, odk, odu, ogo, om, orc, oru, ory, os, pa, pbs, pbt, pbu, pcm, pex, phl, phr, pip, piy, pko, pl, plk, plt, pmq, pms, pmy, pnb, poc, poe, pow, prq, ps, pst, pt, pua, pwn, qug, qum, qup, qur, qus, quv, qux, quy, qva, qvi, qvj, qvl, qwa, qws, qxa, qxp, qxt, qxu, qxw, rag, rm, ro, rob, rof, roo, rth, ru, rup, rw, sa, sah, sat, sau, say, sbn, sc, scl, scn, sd, sei, shu, si, sip, siw, sjr, sk, skg, skr, sl, sn, snc, snk, so, sol, sps, sq, sr, src, sro, ssi, ste, sua, sv, sva, sw, szy, ta, tan, tar, tay, tbf, tcf, tcy, tdn, tdx, te, tg, tgc, th, the, thq, thr, thv, ti, tig, tio, tk, tkg, tkt, tli, tlp, tn, tok, tpl, tpz, tqp, tr, trp, trq, trv, trw, tt, ttj, ttr, ttu, tui, tul, tuq, tuv, tuy, tvo, tvu, tw, twu, txs, txy, udl, ug, uk, uki, umb, ur, ush, uz, uzn, vai, var, ver, vi, vmc, vmj, vmm, vmp, vmz, vot, vro, wbl, wci, weo, wes, wja, wji, wo, wof, xh, xhe, xka, xmf, xmv, xmw, xpe, xti, xtu, yaq, yav, yay, ydd, ydg, yer, yes, yi, yo, yue, zga, zgh, zh, zoc, zoh, zor, zpv, zpy, ztg, ztn, ztp, zts, ztu, zu, zza, arxiv:2604.00688, base_model:Qwen/Qwen3-0.6B, base_model:finetune:Qwen/Qwen3-0.6B, license:apache-2.0, region:us

> See[PyTorch official site](https://pytorch.org/get-started/locally/)for other versions installation\.

Apple Silicon```
pip install torch==2.8.0 torchaudio==2.8.0

pip install omnivoice

from omnivoice import OmniVoice
import soundfile as sf
import torch

# Load the model
model = OmniVoice.from_pretrained(
    "k2-fsa/OmniVoice",
    device_map="cuda:0",
    dtype=torch.float16
)

# Generate audio
audio = model.generate(
    text="Hello, this is a test of zero-shot voice cloning.",
    ref_audio="ref.wav",
    ref_text="Transcription of the reference audio.",
) # audio is a list of `np.ndarray` with shape (T,) at 24 kHz.

sf.write("out.wav", audio[0], 24000)

@article{zhu2026omnivoice,
      title={OmniVoice: Towards Omnilingual Zero-Shot Text-to-Speech with Diffusion Language Models},
      author={Zhu, Han and Ye, Lingxuan and Kang, Wei and Yao, Zengwei and Guo, Liyong and Kuang, Fangjun and Han, Zhifeng and Zhuang, Weiji and Lin, Long and Povey, Daniel},
      journal={arXiv preprint arXiv:2604.00688},
      year={2026}
}