Public/automatic
1
0
Fork 0
mirror of https://github.com/vladmandic/automatic synced 2026-09-20 01:31:13 +02:00
Code Issues Packages Projects Releases Wiki Activity

full codespell coverage

Browse Source 
Signed-off-by: Vladimir Mandic <mandic00@live.com>
This commit is contained in:
Vladimir Mandic
2026-06-04 12:36:10 +02:00
parent 0bfcdabbbb
commit 5e99dee3c2
103 changed files with 264 additions and 254 deletions
Download Patch File Download Diff File Expand all files Collapse all files
modules/textual_inversion.py
+3 -3
View File
@@ -98,7 +98,7 @@ def get_text_encoders():
def deref_tokenizers(tokens, tokenizers):
"""
Bundled embeddings may have the same name as a seperately loaded embedding, or there may be multiple LoRA with
Bundled embeddings may have the same name as a separately loaded embedding, or there may be multiple LoRA with
differing numbers of vectors. By editing the AddedToken objects, and deleting the dict keys pointing to them,
we can ensure that a smaller embedding will not get tokenized as itself, plus the remaining vectors of the previous.
"""
@@ -212,7 +212,7 @@ class DirWithTextualInversionEmbeddings:
def convert_embedding(tensor, text_encoder, text_encoder_2):
"""
Given a tensor of shape (b, embed_dim) and two text encoders whose tokenizers match, return a tensor with
approximately mathcing meaning, or padding if the input tensor is dissimilar to any frozen text embed
approximately matching meaning, or padding if the input tensor is dissimilar to any frozen text embed
"""
with torch.no_grad():
vectors = []
@@ -256,7 +256,7 @@ class EmbeddingDatabase:
def load_diffusers_embedding(self, filename: str | list[str] | None = None, data: dict | None = None):
"""
File names take precidence over bundled embeddings passed as a dict.
File names take precedence over bundled embeddings passed as a dict.
Bundled embeddings are automatically set to overwrite previous embeddings.
"""
with limit_errors("load_diffusers_embedding") as elimit: