v1.9.0

RightNow-AI/openfangv1.9.0Mar 1, 2026by FranckyB

AI Summary

Achieved significant inference speedups for Qwen3 using CUDA Graphs and introduced multi-GPU support to distribute workloads across different subsystems.

Key Highlights

  • Faster-Qwen3-TTS integration for 5-10x speedup
  • Multi-GPU assignment for TTS, ASR, and LLM
  • Automatic fallback to standard Qwen3TTSModel
  • Trained model caching between generations

New Features

  • CUDA Graph acceleration
  • Multi-GPU support
  • Automatic fallback mechanism
  • Improved caching

Full Release Notes

**Faster-Qwen3-TTS Integration**
- **5-10x Faster Inference** - Integrated [Faster-Qwen3-TTS](https://github.com/andimarafioti/faster-qwen3-tts) for CUDA graph-accelerated Qwen3 generation with bit-identical output quality
- **All Qwen3 Models** - Acceleration applies to Base, CustomVoice, VoiceDesign, and Trained Model checkpoints
- **Toggle in Settings** - Enable/disable CUDA Graphs Acceleration under Faster-Qwen3-TTS section (CUDA only)
- **Automatic Fallback** - Gracefully falls back to standard Qwen3TTSModel when CUDA graphs are unavailable or fail
- **Setup Scripts Updated** - `setup-windows.bat` and `setup-linux.sh` auto-install the package (not on macOS)
- **Trained Model Caching** - Trained model checkpoints are now cached between generations instead of reloading every time

**Multi-GPU Support**
- **GPU Assignment Dropdowns** - Assign TTS, ASR, and Llama.cpp to different GPUs on multi-GPU systems
- **Per-Subsystem Control** - Each subsystem (TTS, ASR, LLM) can run on a separate GPU to maximize throughput
- **Automatic Detection** - GPU dropdowns only appear when multiple CUDA GPUs are detected
- **Saved Preferences** - GPU assignments persist across restarts via config.json

**Bug Fixes**
- **Conversation Tab Fix** - Fixed a broken component reference (`vv_conv_sentences_per_chunk` → `vv_conv_paragraph_per_chunk`) that prevented all interactive elements from working on the Conversation tab