ComfyUI-SelVA

Files

T

Ethanfel 10e6095e31 fix(vae-roundtrip): use model feature_utils for decode, add normalize/unnormalize, normalize output

- Load fresh FeaturesUtils only for encoding; use model["feature_utils"] for
  decode+vocode to mirror the exact path the sampler takes
- Apply generator.normalize() → unnormalize() around the encoded latent so the
  decoder receives latents in the same space it expects from inference
- Log both encoded and norm→unnorm latent stats to diagnose round-trip fidelity
- Normalize output to -27 dBFS (matching training clip RMS) and clamp to [-1, 1]
  to prevent clipping artifacts in the output waveform

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-04-08 19:50:01 +02:00

__init__.py

feat: add SelVA VAE Roundtrip node

2026-04-08 19:15:20 +02:00

selva_dataset_browser.py

feat: thorough overnight sweep + dataset browser updates

2026-04-08 00:38:19 +02:00

selva_feature_extractor.py

fix: set OUTPUT_NODE=True on SelVA Feature Extractor so it runs without connected outputs

2026-04-06 00:11:16 +02:00

selva_lora_evaluator.py

feat: evaluate adapters on all dataset clips, not just clip_001