edwko/OuteTTS

Health v2 · maintenance only

Adoption not part of the score

1436 stars · 117 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

OuteTTS is a Python interface for running OuteAI's text-to-speech models, supporting multiple inference backends including llama.cpp, Hugging Face Transformers, ExLlamaV2, and vLLM. It also ships an npm package (Transformers.js) for browser-based TTS with the 0.2 model.

Use cases

• generate speech from text with an open TTS model
• run text-to-speech locally with llama.cpp GGUF models
• clone a voice from a short audio sample
• batch TTS inference on GPU with vLLM or ExLlamaV2
• run TTS in the browser with transformers.js
• convert text to speech on CPU without a GPU

When to choose

• you want local, open-weight TTS with flexible backends (CPU via llama.cpp or GPU via CUDA/ROCm)
• you need voice cloning or speaker profiles with OuteTTS 1.0 models
• you want batched, high-throughput TTS inference on an NVIDIA GPU

When to avoid

• you need a managed cloud TTS API with no local setup
• you require non-English/multilingual coverage beyond what OuteTTS models support
• you need production-grade, battle-tested TTS rather than a fast-moving research project

Facets

library · maturity active

tts llm-inference speech-recognition speech-processing large-language-models machine-learning python cross-platform cli text-to-speech gguf llama-cpp transformers voice-cloning exllamav2 vllm transformersjs audio gpu

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markdown · JSON · MCP: product_card(name="edwko/OuteTTS")