TI: Use grad clipping from LoRA #104

1 files changed, 2 insertions, 2 deletions

diff --git a/train_dreambooth.py b/train_dreambooth.py
index 0182693..73d9935 100644
--- a/train_dreambooth.py
+++ b/train_dreambooth.py
@@ -24,7 +24,7 @@ from slugify import slugify
 from util import load_config, load_embeddings_from_dir
 from pipelines.stable_diffusion.vlpn_stable_diffusion import VlpnStableDiffusion
 from data.csv import VlpnDataModule, VlpnDataItem
-from training.common import run_model, generate_class_images
+from training.common import loss_step, generate_class_images
 from training.optimization import get_one_cycle_schedule
 from training.lr import LRFinder
 from training.util import AverageMeter, CheckpointerBase, save_args
@@ -883,7 +883,7 @@ def main():
             pass
 
     loop = partial(
-        run_model,
+        loss_step,
         vae,
         noise_scheduler,
         unet,