diff options
Diffstat (limited to 'modules/textual_inversion')
| -rw-r--r-- | modules/textual_inversion/textual_inversion.py | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py index c57d3ace..ec8176bf 100644 --- a/modules/textual_inversion/textual_inversion.py +++ b/modules/textual_inversion/textual_inversion.py @@ -260,11 +260,11 @@ def train_embedding(embedding_name, learn_rate, batch_size, data_root, log_direc last_saved_image = "<none>"
embedding_yet_to_be_embedded = False
- ititial_step = embedding.step or 0
- if ititial_step > steps:
+ initial_step = embedding.step or 0
+ if initial_step > steps:
return embedding, filename
- scheduler = LearnRateScheduler(learn_rate, steps, ititial_step)
+ scheduler = LearnRateScheduler(learn_rate, steps, initial_step)
optimizer = torch.optim.AdamW([embedding.vec], lr=scheduler.learn_rate)
if shared.opts.training_enable_tensorboard:
@@ -273,9 +273,9 @@ def train_embedding(embedding_name, learn_rate, batch_size, data_root, log_direc log_dir=os.path.join(log_directory, "tensorboard"),
flush_secs=shared.opts.training_tensorboard_flush_every)
- pbar = tqdm.tqdm(enumerate(ds), total=steps-ititial_step)
+ pbar = tqdm.tqdm(enumerate(ds), total=steps-initial_step)
for i, entries in pbar:
- embedding.step = i + ititial_step
+ embedding.step = i + initial_step
scheduler.apply(optimizer, embedding.step)
if scheduler.finished:
|