Adds version to embedding and lora files fixes #358

src/airunner/alembic/versions/6d98d892995f_adds_version_to_embedding_and_lora_.py

@@ -0,0 +1,32 @@
+"""Adds version to embedding and lora tables
+
+Revision ID: 6d98d892995f
+Revises: 55c1dff62eba
+Create Date: 2024-01-09 14:40:48.810380
+
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+
+
+# revision identifiers, used by Alembic.
+revision: str = '6d98d892995f'
+down_revision: Union[str, None] = '55c1dff62eba'
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.add_column('embeddings', sa.Column('version', sa.String(), nullable=True))
+    op.add_column('loras', sa.Column('version', sa.String(), nullable=True))
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_column('loras', 'version')
+    op.drop_column('embeddings', 'version')
+    # ### end Alembic commands ###

src/airunner/data/models.py

@@ -103,6 +103,7 @@ class Embedding(BaseModel):
     path = Column(String)
     tags = Column(String)
     active = Column(Boolean, default=True)
+    version = Column(String, default="SD 1.5")
 
     __table_args__ = (
         UniqueConstraint('name', 'path', name='name_path_unique'),
@@ -302,6 +303,7 @@ class Lora(BaseModel):
     enabled = Column(Boolean, default=True)
     loaded = Column(Boolean, default=False)
     trigger_word = Column(String, default="")
+    version = Column(String, default="SD 1.5")
 
     @classmethod
     def get_all(cls, session):

src/airunner/widgets/embeddings/embeddings_container_widget.py

@@ -127,13 +127,14 @@ def scan_for_embeddings(self):
         if os.path.exists(embeddings_path):
             for root, dirs, _ in os.walk(embeddings_path):
                 for dir in dirs:
+                    version = dir.split("/")[-1]
                     path = os.path.join(root, dir)
                     for entry in os.scandir(path):
                         if entry.is_file() and entry.name.endswith((".ckpt", ".safetensors", ".pt")):
                             name = os.path.splitext(entry.name)[0]
                             embedding = session.query(Embedding).filter_by(name=name).first()
                             if not embedding:
-                                embedding = Embedding(name=name, path=entry.path)
+                                embedding = Embedding(name=name, path=entry.path, version=version)
                                 session.add(embedding)
             session.commit()
         self.load_embeddings()

src/airunner/widgets/lora/lora_container_widget.py

@@ -58,11 +58,12 @@ def scan_for_lora(self):
         session = get_session()
         lora_path = self.settings_manager.path_settings.lora_path
         for dirpath, dirnames, filenames in os.walk(lora_path):
+            # get version from dirpath
+            version = dirpath.split("/")[-1]
             for file in filenames:
                 if file.endswith(".ckpt") or file.endswith(".safetensors") or file.endswith(".pt"):
-                    print("adding lora to session")
                     name = file.replace(".ckpt", "").replace(".safetensors", "").replace(".pt", "")
-                    lora = Lora(name=name, path=os.path.join(dirpath, file), enabled=True, scale=100.0)
+                    lora = Lora(name=name, path=os.path.join(dirpath, file), enabled=True, scale=100.0, version=version)
                     session.add(lora)
                     save_session(session)