Local voice cloning remains a deployment nightmare

The gap between benchmark claims and actual local usability for voice cloning is glaringly obvious.

• –While models like Qwen3-TTS and F5-TTS boast impressive capabilities, their reliance on complex dependencies (like flash-attn) and high VRAM makes them fragile on Windows and consumer hardware
• –Fast models like Kokoro lack native zero-shot cloning, forcing users into slow, multi-step workaround pipelines that kill real-time viability
• –The open-source community is still waiting for a true "ElevenLabs killer" that balances real-time streaming speed with reliable cloning without requiring hours of setup
• –The speech ecosystem desperately needs a unified, dependency-free inference engine (similar to llama.cpp for text) to solve these deployment and performance headaches