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Brandon Rising 2024-03-08 11:57:21 -05:00 committed by Brandon
parent ee38fbe89c
commit df12e12e09
3 changed files with 6 additions and 7 deletions
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3
invokeai/app/services/shared/sqlite_migrator/sqlite_migrator_common.py
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@ -17,7 +17,8 @@ class MigrateCallback(Protocol):
See :class:`Migration` for an example. See :class:`Migration` for an example.
""" """
def __call__(self, cursor: sqlite3.Cursor) -> None: ... def __call__(self, cursor: sqlite3.Cursor) -> None:
...
class MigrationError(RuntimeError): class MigrationError(RuntimeError):

6
invokeai/backend/training/textual_inversion_training.py
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@ -858,9 +858,9 @@ def do_textual_inversion_training(
# Let's make sure we don't update any embedding weights besides the newly added token # Let's make sure we don't update any embedding weights besides the newly added token
index_no_updates = torch.arange(len(tokenizer)) != placeholder_token_id index_no_updates = torch.arange(len(tokenizer)) != placeholder_token_id
with torch.no_grad(): with torch.no_grad():
accelerator.unwrap_model(text_encoder).get_input_embeddings().weight[index_no_updates] = ( accelerator.unwrap_model(text_encoder).get_input_embeddings().weight[
orig_embeds_params[index_no_updates] index_no_updates
) ] = orig_embeds_params[index_no_updates]
# Checks if the accelerator has performed an optimization step behind the scenes # Checks if the accelerator has performed an optimization step behind the scenes
if accelerator.sync_gradients: if accelerator.sync_gradients:

4
tests/app/services/model_install/test_model_install.py
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@ -173,9 +173,7 @@ def test_inplace_install(
assert Path(job.config_out.path) == embedding_file assert Path(job.config_out.path) == embedding_file
def test_delete_install( def test_delete_install(mm2_installer: ModelInstallServiceBase, embedding_file: Path) -> None:
mm2_installer: ModelInstallServiceBase, embedding_file: Path
) -> None:
store = mm2_installer.record_store store = mm2_installer.record_store
key = mm2_installer.install_path(embedding_file) key = mm2_installer.install_path(embedding_file)
model_record = store.get_model(key) model_record = store.get_model(key)