Fix transformers compatibility handling
Technical changes:
- Disable legacy DynamicCache patches that masked version conflicts
- Add startup version check for transformers >=4.51.3
- Provide clear upgrade instructions for users with old transformers
- Remove automatic compatibility patches from VibeVoice engine
Centralize numba compatibility system with smart testing
Technical implementation:
- Replace 15+ duplicate JIT workaround blocks with unified system
- Add utils/compatibility/numba_compat.py with startup testing
- Implement fallback for environments without compatibility module
- Test librosa.stft() at startup and apply workarounds only when needed
- Eliminate contradictory startup messages between init and nodes
- Maintain backward compatibility with legacy Python 3.13 fixes
Fix VibeVoice model reloading and transformers compatibility
Technical changes:
- Fix unified model interface cache key missing additional_params
- Add transformers>=4.51.3 requirement for VibeVoice compatibility
- Remove excessive debug prints from VibeVoice engine
- Fix RVC numba JIT disable logic for correct Python version detection
- Fix attention_mode and quantize_llm_4bit not triggering model reloads
- Created utils/compatibility/transformers_patches.py with all monkey patches
- Moved FlashAttentionKwargs, BaseStreamer, DynamicCache, and generation method patches
- Fixed VibeVoice GenerationMixin._prepare_generation_config signature compatibility
- Updated VibeVoice downloader and engine to use centralized patches
- Updated PROJECT_INDEX.md to document compatibility system
- Eliminates duplicate patching logic and improves maintainability
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