Orpheus TTS
github.com
Spec sheet
- Purpose
- Orpheus TTS is an open-source text-to-speech system built on a Llama 3B backbone.Read 13 Oct 2026 · github.com
- Platforms
- api,self_hostedRead 20 Sep 2026 · github.com
- Deployment
- The repository documents local inference and one-click deployment through Baseten, which it calls its preferred inference partner.Read 13 Oct 2026 · github.com
- License
- The GitHub repository identifies its license as Apache-2.0.Read 13 Oct 2026 · github.com
- Headquarters
- San Francisco, California, United StatesRead 28 Sep 2026 · github.com
- API access
- YesRead 20 Sep 2026 · github.com
- Baseten deployment
- The Baseten model page lists text input, audio output, Apache 2.0 licensing, and H100 MIG 40GB hardware.Read 12 Oct 2026 · baseten.co
- Baseten throughput
- The Baseten model page says its implementation supports 16 concurrent real-time streams with variable traffic, 24 with consistent traffic, or 128 concurrent non-real-time generations.Read 12 Oct 2026 · baseten.co
- Commercial use
- YesRead 20 Sep 2026 · github.com
- Company focus
- Canopy Labs describes itself as building realtime interactive models for avatars.Read 13 Oct 2026 · canopylabs.ai
- Current hosted offering
- The maker’s Orpheus page describes enterprise deployments on customer infrastructure, including on-premise or private cloud, with priority support and SLA guarantees.Read 13 Oct 2026 · orpheus.canopylabs.ai
- Customization
- The README provides data-processing scripts and sample datasets for creating finetunes, with training instructions for user datasets.Read 12 Oct 2026 · github.com
- Emotion controls
- Speech characteristics can be guided with tags, including tags for laughter, sighs, coughing, and gasping.Read 13 Oct 2026 · github.com
- Export formats
- WAVRead 20 Sep 2026 · github.com
- Known limitations
- The repository checklist mentions an unresolved streaming issue that occasionally skips frames and a voice-cloning notebook implementation to fix.Read 13 Oct 2026 · github.com
- Limitations
- The README notes that the real-time streaming package may occasionally skip frames and lists fixing this as an open checklist item.Read 12 Oct 2026 · github.com
- Models
- The repository offers an English finetuned production model, a pretrained model trained on more than 100,000 hours of English speech, and a multilingual research release.Read 13 Oct 2026 · github.com
- Speech capabilities
- The project describes natural intonation, emotion, and rhythm, plus voice cloning without prior fine-tuning.Read 13 Oct 2026 · github.com
- Speech controls
- Simple tags can guide speech and emotion characteristics, and the README lists tags such as <laugh>, <sigh>, and <gasp>.Read 12 Oct 2026 · github.com
- Speech quality
- The project describes its speech as having natural intonation, emotion, and rhythm.Read 12 Oct 2026 · github.com
- Streaming
- The repository reports about 200 ms streaming latency, reducible to about 100 ms with input streaming.Read 13 Oct 2026 · github.com
- Training
- The repository provides data processing scripts and sample datasets for fine-tuning, and describes fine-tuning on text and speech.Read 13 Oct 2026 · github.com
- Voice cloning
- The project lists zero-shot voice cloning without prior fine-tuning as an ability.Read 12 Oct 2026 · github.com
- Watermarking
- The repository points to an implementation for watermarking generated audio with Silent Cipher.Read 13 Oct 2026 · github.com
Where Specifiction places it
- Text-to-Speech Software#171 of 2237.4
- Text-to-speech tools#183 of 2337.4