diff options
Diffstat (limited to 'modules')
| -rw-r--r-- | modules/textual_inversion/textual_inversion.py | 9 |
1 files changed, 6 insertions, 3 deletions
diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py index b915b091..853246a6 100644 --- a/modules/textual_inversion/textual_inversion.py +++ b/modules/textual_inversion/textual_inversion.py @@ -248,11 +248,14 @@ def create_embedding(name, num_vectors_per_token, overwrite_old, init_text='*'): with devices.autocast():
cond_model([""]) # will send cond model to GPU if lowvram/medvram is active
- embedded = cond_model.encode_embedding_init_text(init_text, num_vectors_per_token)
+ #cond_model expects at least some text, so we provide '*' as backup.
+ embedded = cond_model.encode_embedding_init_text(init_text or '*', num_vectors_per_token)
vec = torch.zeros((num_vectors_per_token, embedded.shape[1]), device=devices.device)
- for i in range(num_vectors_per_token):
- vec[i] = embedded[i * int(embedded.shape[0]) // num_vectors_per_token]
+ #Only copy if we provided an init_text, otherwise keep vectors as zeros
+ if init_text:
+ for i in range(num_vectors_per_token):
+ vec[i] = embedded[i * int(embedded.shape[0]) // num_vectors_per_token]
# Remove illegal characters from name.
name = "".join( x for x in name if (x.isalnum() or x in "._- "))
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