hermes
65c2ea3d50
- install: clone app source, create venv, install deps + torch + models - start: daemon uvicorn on 127.0.0.1 with auto-captured URL - reset: remove venv/cache/models but keep source - update: pull both launcher and app, then re-install - sanitized: no local env details, no TODO/DONE - icon.png included
48 lines
1.7 KiB
Markdown
48 lines
1.7 KiB
Markdown
# Multi-TTS-Server Pinokio Launcher
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One-click Pinokio launcher for [hermes/multi-tts-server](https://gitea.amakusa.ru/hermes/multi-tts-server).
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## What it installs
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This launcher downloads the TTS server source code, creates a Python virtual environment, installs dependencies, installs the correct PyTorch build for your GPU, and downloads the required voice models.
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## Requirements
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- Windows, macOS, or Linux
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- NVIDIA GPU with CUDA 12.8, AMD GPU with DirectML (Windows only), or CPU
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- At least 16 GB of system RAM
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- ~8 GB of free disk space (venv + models)
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## Included engines
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- **F5-TTS** — Russian model `Misha24-10/F5-TTS_RUSSIAN` (~1.3 GB)
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- **XTTS-v2** — Russian model `NeuroDonu/RU-XTTS-DonuModel` (~5.3 GB)
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- **CPU fallback** for machines without a compatible GPU
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## One-click usage
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1. Open Pinokio.
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2. Install this launcher.
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3. Click **Install**.
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4. When install completes, click **Start**.
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5. The Gradio Web UI and FastAPI docs will open automatically.
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## Features
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- OpenAI-compatible speech endpoint: `POST /v1/audio/speech`
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- MultiTTS Android-compatible endpoint: `GET /tts?text=...&voice=...&engine=f5-tts`
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- Engine load/unload controls: `POST /engines/{name}/load` and `/engines/{name}/unload`
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- MultiTTS Android export: `GET /export/multitts`
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## Reset
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Click **Reset** to remove the virtual environment, cached files, and downloaded models. The source code in `app/` is kept so the next install only recreates the venv and re-downloads models.
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## Update
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Click **Update** to pull the latest launcher and app source code, then re-run the install steps.
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## License
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This launcher wraps the multi-tts-server project. Use in accordance with the licenses of F5-TTS, XTTS-v2, and the upstream project.
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