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authorDynamic <bradje@naver.com>2022-10-23 22:36:56 +0900
committerGitHub <noreply@github.com>2022-10-23 22:36:56 +0900
commit660ae690bd7107b78aac6413e1370f8cd72676bc (patch)
treeb666cfd0872687ccd293a41d9d0a90fcdfe1ea0a /modules/textual_inversion/textual_inversion.py
parent21364c5c39b269497944b56dd6664792d779333b (diff)
parent6bd6154a92eb05c80d66df661a38f8b70cc13729 (diff)
Merge branch 'AUTOMATIC1111:master' into kr-localization
Diffstat (limited to 'modules/textual_inversion/textual_inversion.py')
-rw-r--r--modules/textual_inversion/textual_inversion.py6
1 files changed, 4 insertions, 2 deletions
diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py
index 3be69562..529ed3e2 100644
--- a/modules/textual_inversion/textual_inversion.py
+++ b/modules/textual_inversion/textual_inversion.py
@@ -153,7 +153,7 @@ class EmbeddingDatabase:
return None, None
-def create_embedding(name, num_vectors_per_token, init_text='*'):
+def create_embedding(name, num_vectors_per_token, overwrite_old, init_text='*'):
cond_model = shared.sd_model.cond_stage_model
embedding_layer = cond_model.wrapped.transformer.text_model.embeddings
@@ -165,7 +165,8 @@ def create_embedding(name, num_vectors_per_token, init_text='*'):
vec[i] = embedded[i * int(embedded.shape[0]) // num_vectors_per_token]
fn = os.path.join(shared.cmd_opts.embeddings_dir, f"{name}.pt")
- assert not os.path.exists(fn), f"file {fn} already exists"
+ if not overwrite_old:
+ assert not os.path.exists(fn), f"file {fn} already exists"
embedding = Embedding(vec, name)
embedding.step = 0
@@ -275,6 +276,7 @@ def train_embedding(embedding_name, learn_rate, batch_size, data_root, log_direc
loss.backward()
optimizer.step()
+
epoch_num = embedding.step // len(ds)
epoch_step = embedding.step - (epoch_num * len(ds)) + 1