edwko/OuteTTS
Python interface for running OuteTTS text-to-speech models via llama.cpp, Transformers, and other inference backends.
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OuteTTS provides a unified Python interface for running OuteAI’s text-to-speech models. It supports multiple inference backends including llama.cpp Python bindings, llama.cpp server, Hugging Face Transformers, ExLlamaV2, and vLLM. The project offers both single inference and batched (async) modes for serving TTS models, with published model checkpoints on Hugging Face at 0.6B and 1B parameter sizes.
Frequently asked
- What is edwko/OuteTTS?
- Python interface for running OuteTTS text-to-speech models via llama.cpp, Transformers, and other inference backends.
- Is OuteTTS open source?
- Yes — edwko/OuteTTS is open source, released under the Apache-2.0 license.
- What language is OuteTTS written in?
- edwko/OuteTTS is primarily written in Python.
- How popular is OuteTTS?
- edwko/OuteTTS has 1.4k stars on GitHub.
- Where can I find OuteTTS?
- edwko/OuteTTS is on GitHub at https://github.com/edwko/OuteTTS.