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Fix dataset still being loaded even when training will be skipped

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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
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2
modules/hypernetworks/hypernetwork.py
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@ -364,7 +364,7 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
checkpoint = sd_models.select_checkpoint() checkpoint = sd_models.select_checkpoint()
ititial_step = hypernetwork.step or 0 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" shared.state.textinfo = f"Model has already been trained beyond specified max steps"
return hypernetwork, filename return hypernetwork, filename

2
modules/textual_inversion/textual_inversion.py
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@ -262,7 +262,7 @@ def train_embedding(embedding_name, learn_rate, batch_size, data_root, log_direc
checkpoint = sd_models.select_checkpoint() checkpoint = sd_models.select_checkpoint()
ititial_step = embedding.step or 0 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" shared.state.textinfo = f"Model has already been trained beyond specified max steps"
return embedding, filename return embedding, filename