Files
ComfyUI-SelVA/nodes/__init__.py
T
Ethanfel 95923cdf42 feat: add activation steering pipeline (extractor, loader, sampler injection)
Implements per-block DiT activation steering as an alternative to textual
inversion. Extractor runs frozen generator on dataset with BJ vs empty
conditions, records mean hidden-state delta per block, saves [hidden_dim]
vectors (seq-averaged so they broadcast to any inference duration). Loader
reads the bundle. Sampler registers forward hooks during the ODE that add
strength × vec to each block output, cleaned up in a finally block.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-09 00:38:26 +02:00

32 lines
2.5 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"),
}
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}")