Ethanfel
9c784b4bdb
Spectral-loss-only fine-tuning of the BigVGAN vocoder (mel→waveform)
on BJ audio clips. DiT and VAE are completely frozen. Losses: mel L1
reconstruction + multi-resolution STFT magnitude L1 (same three
resolutions as the BigVGAN discriminator config). Saves in
{'generator': state_dict} format compatible with the original BigVGAN
checkpoint. Loader replaces vocoder weights in the loaded SELVA_MODEL
in-place so no full model reload is needed.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
34 lines
2.8 KiB
Python
34 lines
2.8 KiB
Python
NODE_CLASS_MAPPINGS = {}
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NODE_DISPLAY_NAME_MAPPINGS = {}
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_NODES = {
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"SelvaModelLoader": (".selva_model_loader", "SelvaModelLoader", "SelVA Model Loader"),
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"SelvaFeatureExtractor": (".selva_feature_extractor", "SelvaFeatureExtractor", "SelVA Feature Extractor"),
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"SelvaSampler": (".selva_sampler", "SelvaSampler", "SelVA Sampler"),
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"SelvaLoraLoader": (".selva_lora_loader", "SelvaLoraLoader", "SelVA LoRA Loader"),
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"SelvaLoraTrainer": (".selva_lora_trainer", "SelvaLoraTrainer", "SelVA LoRA Trainer"),
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"SelvaLoraScheduler": (".selva_lora_scheduler", "SelvaLoraScheduler", "SelVA LoRA Scheduler"),
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"SelvaDatasetBrowser": (".selva_dataset_browser", "SelvaDatasetBrowser", "SelVA Dataset Browser"),
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"SelvaSkipExperiment": (".selva_skip_experiment", "SelvaSkipExperiment", "SelVA Skip Experiment"),
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"SelvaLoraEvaluator": (".selva_lora_evaluator", "SelvaLoraEvaluator", "SelVA LoRA Evaluator"),
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"SelvaVaeRoundtrip": (".selva_vae_roundtrip", "SelvaVaeRoundtrip", "SelVA VAE Roundtrip"),
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"SelvaHfSmoother": (".selva_audio_preprocessors", "SelvaHfSmoother", "SelVA HF Smoother"),
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"SelvaSpectralMatcher": (".selva_audio_preprocessors", "SelvaSpectralMatcher", "SelVA Spectral Matcher"),
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"SelvaTextualInversionTrainer": (".selva_textual_inversion_trainer", "SelvaTextualInversionTrainer", "SelVA Textual Inversion Trainer"),
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"SelvaTextualInversionLoader": (".selva_textual_inversion_loader", "SelvaTextualInversionLoader", "SelVA Textual Inversion Loader"),
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"SelvaTiScheduler": (".selva_ti_scheduler", "SelvaTiScheduler", "SelVA TI Scheduler"),
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"SelvaActivationSteeringExtractor": (".selva_activation_steering_extractor", "SelvaActivationSteeringExtractor", "SelVA Activation Steering Extractor"),
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"SelvaActivationSteeringLoader": (".selva_activation_steering_loader", "SelvaActivationSteeringLoader", "SelVA Activation Steering Loader"),
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"SelvaBigvganTrainer": (".selva_bigvgan_trainer", "SelvaBigvganTrainer", "SelVA BigVGAN Trainer"),
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"SelvaBigvganLoader": (".selva_bigvgan_loader", "SelvaBigvganLoader", "SelVA BigVGAN Loader"),
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}
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for key, (module_path, class_name, display_name) in _NODES.items():
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try:
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import importlib
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mod = importlib.import_module(module_path, package=__name__)
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NODE_CLASS_MAPPINGS[key] = getattr(mod, class_name)
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NODE_DISPLAY_NAME_MAPPINGS[key] = display_name
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except (ImportError, AttributeError) as e:
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print(f"[SelVA] Skipping {key}: {e}")
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