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feat: add BigVGAN vocoder sweep scheduler node

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Runs a series of BigVGAN fine-tuning experiments from a JSON sweep file.
Audio clips loaded once, vocoder deep-copied per experiment, results
collected in experiment_summary.json with comparison loss curves.
Resume-aware — skips completed experiments on re-run.

Includes overnight sweep config (8 experiments): snake alpha steps,
GAFilter ablation, phase loss weight, discriminator FM, all_params.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Ethanfel
2026-04-10 02:39:56 +02:00
parent 4226297735
commit 30127c13ca
3 changed files with 691 additions and 0 deletions
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nodes/__init__.py
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@@ -21,6 +21,7 @@ _NODES = {
"SelvaActivationSteeringLoader": (".selva_activation_steering_loader", "SelvaActivationSteeringLoader", "SelVA Activation Steering Loader"),
"SelvaBigvganTrainer": (".selva_bigvgan_trainer", "SelvaBigvganTrainer", "SelVA BigVGAN Trainer"),
"SelvaBigvganLoader": (".selva_bigvgan_loader", "SelvaBigvganLoader", "SelVA BigVGAN Loader"),
"SelvaBigvganScheduler": (".selva_bigvgan_scheduler", "SelvaBigvganScheduler", "SelVA BigVGAN Scheduler"),
"SelvaDittoOptimizer": (".selva_ditto_optimizer", "SelvaDittoOptimizer", "SelVA DITTO Optimizer"),
"SelvaDatasetLoader": (".selva_dataset_pipeline", "SelvaDatasetLoader", "SelVA Dataset Loader"),
"SelvaDatasetResampler": (".selva_dataset_pipeline", "SelvaDatasetResampler", "SelVA Dataset Resampler"),