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Merge pull request #15632 from brendanhoar/bgh-handle-metadata-issues-more-cleanly

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QOL Items - handle metadata issues more cleanly for SD models, Loras and embeddings
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AUTOMATIC1111 2024-06-08 12:17:01 +03:00 committed by GitHub
commit 6d8d2723a0
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3 changed files with 27 additions and 17 deletions
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10
extensions-builtin/Lora/ui_edit_user_metadata.py
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@ -21,10 +21,12 @@ re_comma = re.compile(r" *, *")
def build_tags(metadata):
tags = {}
for _, tags_dict in metadata.get("ss_tag_frequency", {}).items():
for tag, tag_count in tags_dict.items():
tag = tag.strip()
tags[tag] = tags.get(tag, 0) + int(tag_count)
ss_tag_frequency = metadata.get("ss_tag_frequency", {})
if ss_tag_frequency is not None and hasattr(ss_tag_frequency, 'items'):
for _, tags_dict in ss_tag_frequency.items():
for tag, tag_count in tags_dict.items():
tag = tag.strip()
tags[tag] = tags.get(tag, 0) + int(tag_count)
if tags and is_non_comma_tagset(tags):
new_tags = {}

22
modules/sd_models.py
View File

@ -282,17 +282,21 @@ def read_metadata_from_safetensors(filename):
json_start = file.read(2)
assert metadata_len > 2 and json_start in (b'{"', b"{'"), f"{filename} is not a safetensors file"
json_data = json_start + file.read(metadata_len-2)
json_obj = json.loads(json_data)
res = {}
for k, v in json_obj.get("__metadata__", {}).items():
res[k] = v
if isinstance(v, str) and v[0:1] == '{':
try:
res[k] = json.loads(v)
except Exception:
pass
try:
json_data = json_start + file.read(metadata_len-2)
json_obj = json.loads(json_data)
for k, v in json_obj.get("__metadata__", {}).items():
res[k] = v
if isinstance(v, str) and v[0:1] == '{':
try:
res[k] = json.loads(v)
except Exception:
pass
except Exception:
errors.report(f"Error reading metadata from file: {filename}", exc_info=True)
return res

12
modules/textual_inversion/textual_inversion.py
View File

@ -181,12 +181,16 @@ class EmbeddingDatabase:
else:
return
embedding = create_embedding_from_data(data, name, filename=filename, filepath=path)
if data is not None:
embedding = create_embedding_from_data(data, name, filename=filename, filepath=path)
if self.expected_shape == -1 or self.expected_shape == embedding.shape:
self.register_embedding(embedding, shared.sd_model)
if self.expected_shape == -1 or self.expected_shape == embedding.shape:
self.register_embedding(embedding, shared.sd_model)
else:
self.skipped_embeddings[name] = embedding
else:
self.skipped_embeddings[name] = embedding
print(f"Unable to load Textual inversion embedding due to data issue: '{name}'.")
def load_from_dir(self, embdir):
if not os.path.isdir(embdir.path):