ekwek1/soprano

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1486 stars · 128 forks observed · 2026-08-28

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

Soprano is an ultra-lightweight 80M-parameter text-to-speech model and Python library for fast, expressive, high-fidelity speech synthesis on CPU, CUDA, and MPS devices. It ships with a WebUI, CLI, OpenAI-compatible endpoint, ONNX export, and ComfyUI integration for both interactive and production inference.

Use cases

• convert text to realistic speech audio on-device
• stream tts audio with low latency
• run fast text-to-speech on cpu without a gpu
• self-host an openai-compatible tts endpoint
• generate long-form narration with unlimited length
• fine-tune a custom voice model
• integrate tts into comfyui workflows

When to choose

• you need fast, low-latency tts on cpu or edge hardware
• you want a small model under 1 GB memory footprint
• you need streaming speech generation with sub-250ms latency
• you want multiple inference interfaces (cli, webui, api, onnx)

When to avoid

• you need the absolute highest fidelity from large state-of-the-art tts models
• you require many built-in languages or voices beyond what the model supports
• you need voice cloning out of the box without training your own model

Facets

library · maturity active

tts speech-recognition llm-inference cli http-server speech-processing machine-learning artificial-intelligence python cross-platform cli text-to-speech on-device streaming-audio onnx openai-compatible-api comfyui lightweight-model audio cuda gpu web-server

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