NightPrince/Arabic-professional-voice
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How to use NightPrince/MSA-F5-TTS-Arabic with F5-TTS:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
Fine-tuned F5-TTS on a professional Arabic MSA voice, built by Yahya (NightPrince).
| Field | Value |
|---|---|
| Architecture | F5-TTS v1 Base (Flow Matching + DiT) |
| Base model | SWivid/F5-TTS |
| Training data | 439 clips / ~70 min |
| Sample rate | 24 kHz |
| Language | Arabic MSA + full Tashkeel |
| Final loss | 0.367 (20 epochs) |
| Author | Yahya (NightPrince) |
from f5_tts.api import F5TTS
from huggingface_hub import hf_hub_download
ckpt = hf_hub_download("NightPrince/MSA-F5-TTS-Arabic", "model.pt")
vocab = hf_hub_download("NightPrince/MSA-F5-TTS-Arabic", "vocab.txt")
tts = F5TTS(model="F5TTS_v1_Base", ckpt_file=ckpt, vocab_file=vocab, device="cuda")
wav, sr, _ = tts.infer(
ref_file="reference.wav",
ref_text="ุงููุต ุงูู
ุฑุฌุนู",
gen_text="ุจูุณูู
ู ุงูููููู ุงูุฑููุญูู
ูฐูู ุงูุฑููุญููู
ู",
nfe_step=32
)
Base model
SWivid/F5-TTS