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- Introduced `indextts2_inference.py` for quality-focused TTS inference with command-line arguments. - Added `__init__.py` and `emotion.py` to support emotion processing in the IndexTTS2 model. - Created model configuration and conversion scripts for various components including BigVGAN, CAMPPlus, and semantic codecs. - Implemented core model logic in `indextts2.py`, integrating emotion handling and audio processing. - Added support for W2V-BERT and UnifiedVoice models, enhancing the overall TTS pipeline.
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Description
Implements a full MLX-native IndexTTS2 pipeline (w2v-bert -> semantic codec -> UnifiedVoice -> s2mel -> BigVGAN), adds Qwen-based emotion-from-text support
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