Ethanfel
15fc5f0793
Mild 2:1-3:1 parallel compression via pedalboard.Compressor to reduce within-clip loudness variance after LUFS normalization. Blend ratio keeps transients intact while tightening dynamics. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
42 lines
3.8 KiB
Python
42 lines
3.8 KiB
Python
NODE_CLASS_MAPPINGS = {}
|
|
NODE_DISPLAY_NAME_MAPPINGS = {}
|
|
|
|
_NODES = {
|
|
"SelvaModelLoader": (".selva_model_loader", "SelvaModelLoader", "SelVA Model Loader"),
|
|
"SelvaFeatureExtractor": (".selva_feature_extractor", "SelvaFeatureExtractor", "SelVA Feature Extractor"),
|
|
"SelvaSampler": (".selva_sampler", "SelvaSampler", "SelVA Sampler"),
|
|
"SelvaLoraLoader": (".selva_lora_loader", "SelvaLoraLoader", "SelVA LoRA Loader"),
|
|
"SelvaLoraTrainer": (".selva_lora_trainer", "SelvaLoraTrainer", "SelVA LoRA Trainer"),
|
|
"SelvaLoraScheduler": (".selva_lora_scheduler", "SelvaLoraScheduler", "SelVA LoRA Scheduler"),
|
|
"SelvaDatasetBrowser": (".selva_dataset_browser", "SelvaDatasetBrowser", "SelVA Dataset Browser"),
|
|
"SelvaSkipExperiment": (".selva_skip_experiment", "SelvaSkipExperiment", "SelVA Skip Experiment"),
|
|
"SelvaLoraEvaluator": (".selva_lora_evaluator", "SelvaLoraEvaluator", "SelVA LoRA Evaluator"),
|
|
"SelvaVaeRoundtrip": (".selva_vae_roundtrip", "SelvaVaeRoundtrip", "SelVA VAE Roundtrip"),
|
|
"SelvaHfSmoother": (".selva_audio_preprocessors", "SelvaHfSmoother", "SelVA HF Smoother"),
|
|
"SelvaSpectralMatcher": (".selva_audio_preprocessors", "SelvaSpectralMatcher", "SelVA Spectral Matcher"),
|
|
"SelvaTextualInversionTrainer": (".selva_textual_inversion_trainer", "SelvaTextualInversionTrainer", "SelVA Textual Inversion Trainer"),
|
|
"SelvaTextualInversionLoader": (".selva_textual_inversion_loader", "SelvaTextualInversionLoader", "SelVA Textual Inversion Loader"),
|
|
"SelvaTiScheduler": (".selva_ti_scheduler", "SelvaTiScheduler", "SelVA TI Scheduler"),
|
|
"SelvaActivationSteeringExtractor": (".selva_activation_steering_extractor", "SelvaActivationSteeringExtractor", "SelVA Activation Steering Extractor"),
|
|
"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"),
|
|
"SelvaDittoOptimizer": (".selva_ditto_optimizer", "SelvaDittoOptimizer", "SelVA DITTO Optimizer"),
|
|
"SelvaDatasetLoader": (".selva_dataset_pipeline", "SelvaDatasetLoader", "SelVA Dataset Loader"),
|
|
"SelvaDatasetResampler": (".selva_dataset_pipeline", "SelvaDatasetResampler", "SelVA Dataset Resampler"),
|
|
"SelvaDatasetLUFSNormalizer": (".selva_dataset_pipeline", "SelvaDatasetLUFSNormalizer", "SelVA Dataset LUFS Normalizer"),
|
|
"SelvaDatasetCompressor": (".selva_dataset_pipeline", "SelvaDatasetCompressor", "SelVA Dataset Compressor"),
|
|
"SelvaDatasetInspector": (".selva_dataset_pipeline", "SelvaDatasetInspector", "SelVA Dataset Inspector"),
|
|
"SelvaDatasetItemExtractor": (".selva_dataset_pipeline", "SelvaDatasetItemExtractor", "SelVA Dataset Item Extractor"),
|
|
"SelvaDatasetSaver": (".selva_dataset_pipeline", "SelvaDatasetSaver", "SelVA Dataset Saver"),
|
|
}
|
|
|
|
for key, (module_path, class_name, display_name) in _NODES.items():
|
|
try:
|
|
import importlib
|
|
mod = importlib.import_module(module_path, package=__name__)
|
|
NODE_CLASS_MAPPINGS[key] = getattr(mod, class_name)
|
|
NODE_DISPLAY_NAME_MAPPINGS[key] = display_name
|
|
except (ImportError, AttributeError) as e:
|
|
print(f"[SelVA] Skipping {key}: {e}")
|