Local AI music, speech, editing, mixing, and automation
Your GPU is the studio.
Generate music, create lifelike speech, clone voices, separate stems, repair sections, record, mix, master, and automate full audio workflows. Foundry runs locally on Windows with an NVIDIA GPU, so your scripts, voices, songs, and client audio stay on your machine.
No cloud generation
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No credit meters
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Voice cloning included
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Built for private production
Music
Songs, vocals, structure, style, and language control.
Create full tracks, extend ideas, transform references, patch weak sections, and generate multilingual songs locally.
Compare music generators
Speech
Expressive narration that does not sound like filler.
Generate speech in 10 languages, direct emotion line by line, clone voices from short samples, and build multi-speaker scenes.
Explore local AI voice
Studio
A real production workspace, not just a prompt field.
Record, arrange, stem-split, patch, crossfade, process with DSP, mix on a DAW-style timeline, and export final audio.
See what is inside
Local creative agent
Give the boring preparation work to the assistant.
Use the built-in agent for lyrics, music briefs, script preparation, speaker extraction, emotion planning, literature summaries, narration segmentation, batch workflows, and repeatable production tasks.
foundry analyze manuscript.pdf
foundry extract speakers and emotions
foundry generate narration
foundry compose intro music
foundry mix and export
Pick your workflow
YouTubers and faceless channels
Voiceovers, hooks, background music, repeatable production, no per-video credit anxiety.
Game developers
NPC dialogue, character voices, batch generation, ambience, score, and engine-ready export.
Audiobooks and podcasts
Long-form narration, multi-speaker scenes, private manuscripts, music beds, and final export.
Speech studios by language
This model is hosted for Demodokos Foundry but it can be used for other purposes, enjoy a stable download location and custom quantizations not available elsewhere.
Qwen3-TTS covers 10 major languages (Chinese, English, Japanese, Korean, German, French, Russian, Portuguese, Spanish, and Italian) as well as multiple dialectal voice profiles. Key features:
1import torch
2import soundfile as sf
3from qwen_tts import Qwen3TTSModel
4
5# Load the model
6model = Qwen3TTSModel.from_pretrained(
7 "Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice",
8 device_map="cuda:0",
9 dtype=torch.bfloat16,
10 attn_implementation="flash_attention_2",
11)
12
13# Custom Voice Generation
14wavs, sr = model.generate_custom_voice(
15 text="其实我真的有发现,我是一个特别善于观察别人情绪的人。",
16 language="Chinese",
17 speaker="Vivian",
18 instruct="用特别愤怒的语气说",
19)
20sf.write("output.wav", wavs[0], sr)
If you find our paper and code useful in your research, please consider giving a star ⭐ and citation 📝:
1@article{Qwen3-TTS,
2 title={Qwen3-TTS Technical Report},
3 author={Hangrui Hu and Xinfa Zhu and Ting He and Dake Guo and Bin Zhang and Xiong Wang and Zhifang Guo and Ziyue Jiang and Hongkun Hao and Zishan Guo and Xinyu Zhang and Pei Zhang and Baosong Yang and Jin Xu and Jingren Zhou and Junyang Lin},
4 journal={arXiv preprint arXiv:2601.15621},
5 year={2026}
6}