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v1.12.5

Laxcorp-Research/project-ravenv1.12.5Apr 8, 2026by FranckyB

AI Summary

Integrates the Fish Speech S2 Pro TTS model with significant performance enhancements through GPU kernel compilation and persistent caching.

Key Highlights

  • Added Fish Speech S2 Pro as a new TTS engine with 80+ languages.
  • Implemented Triton/Inductor GPU kernel compilation for faster generations.
  • Added persistent caching and Windows-specific compilation patches.

New Features

  • Fish Speech S2 Pro TTS engine
  • Support for 80+ languages
  • Inline expression tag support
  • TTS model manager methods (loading, cloning, caching)
  • GPU kernel compilation
  • Persistent caching
  • Windows-specific compilation patches

Full Release Notes

Fish Speech S2 Pro Integration and Features:

Added Fish Speech S2 Pro (4B parameter TTS model) as a new engine in the UI, supporting 80+ languages and 15,000+ inline expression tags for fine-grained speech control. The model is auto-downloaded from HuggingFace, and [tag] syntax is supported and automatically stripped for other engines.

The TTS model manager (tts_manager.py) now provides get_fish_speech() and generate_voice_clone_fish_speech() methods, handling model loading, reference audio encoding, kernel cache status reporting, and batch/paragraph generation with all Fish Speech parameters exposed.

Performance and Stability Enhancements:

Implemented Triton/Inductor GPU kernel compilation with persistent caching in models/.cache for Fish Speech, significantly accelerating repeat generations. Added Windows-specific patches for compilation compatibility and informative first-run cache warnings.