From 1663b39833a69681a13af2b255dbe6ea5e92a172 Mon Sep 17 00:00:00 2001 From: Ethanfel Date: Wed, 8 Apr 2026 10:32:27 +0200 Subject: [PATCH] fix: bump eval sample to 25 ODE steps (was 8) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Inference is fast on RTX PRO 6000 — 8 steps was washing out quality differences between experiments. Co-Authored-By: Claude Sonnet 4.6 --- nodes/selva_lora_trainer.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/nodes/selva_lora_trainer.py b/nodes/selva_lora_trainer.py index f88820b..d04957e 100644 --- a/nodes/selva_lora_trainer.py +++ b/nodes/selva_lora_trainer.py @@ -88,7 +88,7 @@ def _load_npz(path: Path) -> dict: # --------------------------------------------------------------------------- def _eval_sample(generator, feature_utils_orig, dataset, seq_cfg, device, dtype, - num_steps: int = 8, seed: int = 0): + num_steps: int = 25, seed: int = 0): """Run a quick no-CFG inference pass on a fixed training clip. Always uses dataset[0] and a fixed noise seed so samples across checkpoints