AI-native video production toolkit for Claude Code
-
Updated
Apr 14, 2026 - Python
AI-native video production toolkit for Claude Code
Local, portable GUI for Qwen3-TTS. Optimized for NVIDIA RTX 50 Series (CUDA 12.8). One-click install.
Home Assistant integrates Alibaba Cloud's BaiLian Platform TTS
Optimized implementation of Qwen3-TTS for Apple Silicon (M1-M4)
alibaba dashscope qwen llm rust sdk
Demonstration for the Qwen/Qwen3-TTS-12Hz models using Daggr for modular UI nodes. Supports voice design (prompt-to-speech), voice cloning (zero-shot), and custom voice synthesis with multiple speakers and languages. Features lazy model loading to optimize memory, multi-model sizes (0.6B and 1.7B), ASR and support for various audio inputs.
Self-hosted text-to-speech platform with multi-backend support, voice cloning, and a modern web UI.
Qwen3-TTS GUI is a local graphical interface application (Gradio) that allows interaction with various modes of the Qwen3-TTS model, running on Windows.
Local, offline text-to-speech with custom voices, voice design, and cloning. Powered by Qwen3-TTS and GPU inference.
🎤 Create dynamic voice experiences with Qwen3-TTS-Daggr-UI, a Gradio app for voice design, cloning, and speech recognition across multiple languages.
A high-performance, fully local real-time voice translation agent built for Apple Silicon. Features seamless English-Hindi translation, zero-shot voice cloning, and a stateful agentic workflow orchestrated by LangGraph and MLX-Audio.
Convert qwen3-tts realtime websocket to HTTP and streaming.
AI-powered audio transcription, voice cloning, and image generation on Modal serverless GPUs. Real-time streaming, speaker diarization, meeting minutes, saved voice profiles, and FLUX.1 image gen — all in one service.
🎤 Run Qwen3-TTS locally on Apple Silicon for offline AI text-to-speech, offering voice cloning and customization features without cloud reliance.
OpenClaw Voice is a small Python CLI that turns a UTF-8 text file into cloned speech using Qwen TTS and sends the final audio as an MP3 attachment through a configured Discord bot. Audio generation runs locally on your own machine, so it does not depend on a hosted inference API or incur per-request API costs.
Add a description, image, and links to the qwen-tts topic page so that developers can more easily learn about it.
To associate your repository with the qwen-tts topic, visit your repo's landing page and select "manage topics."