Model reference · open weights
viXTTS is an open-weight audio or speech model from capleaf. viXTTS (BF16) weighs 1.9 GB; the smallest configuration that runs it is RTX 3060 12 GB.
For self-hosting, compare this build's requirements below with the GPU you plan to rent.
Summary of the capleaf/viXTTS model card, 2026-10-01
What it is
| Released by | capleaf |
|---|---|
| Released | 2024-04-04 |
| VRAM | 1.9 GB for the weights |
What it runs on
| Card | One stream | Memory |
|---|---|---|
| RTX 3060 12 GB | fits | 11.6 GB |
| RTX 4060 Ti 16 GB | fits | 15.4 GB |
| RTX 3090 24 GB | fits | 23.4 GB |
| RTX 4090 24 GB | fits | 23.4 GB |
| RTX 5090 32 GB | fits | 31.0 GB |
| L40S 48 GB | fits | 44.0 GB |
| A100 80 GB | fits | 78.2 GB |
| H100 80 GB | fits | 78.1 GB |
| RTX PRO 6000 Blackwell 96 GB | fits | 93.8 GB |
| DGX Spark (GB10) 128 GB unified | fits | 107 GB |
| H200 141 GB | fits | 138 GB |
| B200 180 GB | fits | 176 GB |
From the model card
viⓍTTS là mô hình tạo sinh giọng nói cho phép bạn sao chép giọng nói sang các ngôn ngữ khác nhau chỉ bằng cách sử dụng một đoạn âm thanh nhanh dài 6 giây. Mô hình này được tiếp tục đào tạo từ mô hình XTTS-v2.0.3 bằng cách mở rộng tokenizer sang tiếng Việt và huấn luyện trên tập dữ liệu viVoice.
viⓍTTS is a voice generation model that lets you clone voices into different languages by using just a quick 6-second audio clip. This model is fine-tuned from the XTTS-v2.0.3 model by expanding the tokenizer to Vietnamese and fine-tuning on the viVoice dataset.
viXTTS supports 18 languages: English (en), Spanish (es), French (fr), German (de), Italian (it), Portuguese (pt), Polish (pl), Turkish (tr), Russian (ru), Dutch (nl), Czech (cs), Arabic (ar), Chinese (zh-cn), Japanese (ja), Hungarian (hu), Korean (ko) Hindi (hi), Vietnamese (vi).
Please checkout this repo
This model is licensed under Coqui Public Model License.
Fine-tuned by Thinh Le at FPT University HCMC, as a component of Non La's graduation thesis. Contact:
Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.
How it works