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AEmotionStudio/dots-tts-models

sourceHugging Faceapache-2.0updated 3mo agoView on Hugging Face

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dots.tts — consolidated mirror

A consolidated mirror of RedNote HiLab's dots.tts checkpoints, repackaged into one repo with a subfolder per checkpoint for download-on-demand inside the MAESTRO app.

dots.tts is a 2-billion-parameter fully-continuous autoregressive text-to-speech system: a Qwen2.5-1.5B backbone + a flow-matching acoustic head over a 48 kHz AudioVAE, with a CAM++ speaker x-vector encoder. It does zero-shot voice cloning, 24-language multilingual synthesis (auto-detect + code-switching), streaming, and realtime duplex dialogue, all at 48 kHz.

Layout

Subfolder	Upstream	Notes
`base/`	rednote-hilab/dots.tts-base	Balanced pretrained baseline
`soar/`	rednote-hilab/dots.tts-soar	Self-corrective-aligned — best voice cloning (recommended)
`mf/`	rednote-hilab/dots.tts-mf	MeanFlow-distilled student — 4-step, fastest inference

Each subfolder contains the full checkpoint (model.safetensors, vocoder.safetensors, speaker_encoder.safetensors, config.json, llm_config.json, latent_stats.pt, tokenizer files). The MAESTRO model manifest fetches only the requested subfolder via allow_patterns.

License

Apache-2.0 — both code and weights, per the upstream release. Commercial use permitted. All credit for the model and weights goes to the dots.tts Team at RedNote (HiLab). This mirror only repackages the upstream artifacts unchanged; no weights were modified.