Fix dataset still being loaded even when training will be skipped

This commit is contained in:
Muhammad Rizqi Nur 2022-10-30 00:54:59 +07:00
parent a07f054c86
commit 3d58510f21
2 changed files with 2 additions and 2 deletions

View File

@ -364,7 +364,7 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
checkpoint = sd_models.select_checkpoint()
ititial_step = hypernetwork.step or 0
if ititial_step > steps:
if ititial_step >= steps:
shared.state.textinfo = f"Model has already been trained beyond specified max steps"
return hypernetwork, filename

View File

@ -262,7 +262,7 @@ def train_embedding(embedding_name, learn_rate, batch_size, data_root, log_direc
checkpoint = sd_models.select_checkpoint()
ititial_step = embedding.step or 0
if ititial_step > steps:
if ititial_step >= steps:
shared.state.textinfo = f"Model has already been trained beyond specified max steps"
return embedding, filename