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BigVGAN trainer (selva_bigvgan_trainer.py): - Add snake_alpha_only train mode: tunes only ~27K per-channel α params (0.024% of 112M) — physically cannot cause harmonic smearing - Add lambda_l2sp: L2-SP anchor regularization toward pretrained weights - Add optional discriminator_path: frozen MPD+MRD feature matching loss replaces mel L1 when a BigVGAN discriminator checkpoint is provided - Inline MPD + MRD discriminator implementations (no extra dependencies) DITTO optimizer (selva_ditto_optimizer.py): - New node: inference-time noise optimization (arXiv:2401.12179) - Optimizes x₀ via mel Gram matrix style loss against BJ reference clips - All model weights frozen — zero quality degradation risk - Truncated BPTT through last n_grad_steps of the ODE (configurable) - Gradient checkpointing on each differentiated step Docs: - README: document all 20 nodes (was 3), add workflow diagrams - STYLE_TRANSFER.md: new guide — DITTO, vocoder fine-tuning tiers, why LoRA/TI fail, combined approach, dataset prep Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>