ComfyUI-SelVA

Files

T

Ethanfel 09b3b94ddd feat: add batch_size parameter to training (default 4)

Replaces single-sample steps with batched sampling via random.choices().
Tensors are stacked to [B, T, C] before the forward pass; t is now [B].
Default grad_accum lowered to 1 since real batching gives stable gradients.

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

2026-04-05 23:36:12 +02:00

__init__.py

feat: add SelVA LoRA Trainer ComfyUI node

2026-04-05 17:07:38 +02:00

selva_feature_extractor.py

fix: named .npz files always start at _001

2026-04-05 15:44:26 +02:00

selva_lora_loader.py

debug: print lora_A norm after loading to confirm adapter applied

2026-04-05 23:05:23 +02:00

selva_lora_trainer.py

feat: add batch_size parameter to training (default 4)