github/InvokeAI
1
1
Fork 0
mirror of https://github.com/invoke-ai/InvokeAI.git synced 2026-04-23 03:00:31 -04:00
Code Issues Packages Projects Releases Wiki Activity

docs(db): update version numbers in migration comments

Browse Source
This commit is contained in:
psychedelicious
2025-10-10 17:26:54 +11:00
parent 18415cadee
commit 2bafa7f623
1 changed files with 7 additions and 7 deletions
Download Patch File Download Diff File Expand all files Collapse all files

14
invokeai/app/services/shared/sqlite_migrator/migrations/migration_23.py
View File

@@ -49,7 +49,7 @@ class Migration23Callback:
def _parse_and_migrate_config(self, config_json: Any) -> AnyModelConfig:
config_dict: dict[str, Any] = json.loads(config_json)
# In v6.8.0 we made some improvements to the model taxonomy and the model config schemas. There are a changes
# In v6.9.0 we made some improvements to the model taxonomy and the model config schemas. There are a changes
# we need to make to old configs to bring them up to date.
type = config_dict.get("type")
@@ -57,7 +57,7 @@ class Migration23Callback:
base = config_dict.get("base")
if base == BaseModelType.Flux.value and type == ModelType.Main.value:
# Prior to v6.8.0, we used an awkward combination of `config_path` and `variant` to distinguish between FLUX
# Prior to v6.9.0, we used an awkward combination of `config_path` and `variant` to distinguish between FLUX
# variants.
#
# `config_path` was set to one of:
@@ -94,7 +94,7 @@ class Migration23Callback:
}
and type == ModelType.Main.value
):
# Prior to v6.8.0, the prediction_type field was optional and would default to Epsilon if not present.
# Prior to v6.9.0, the prediction_type field was optional and would default to Epsilon if not present.
# We now make it explicit and always present. Use the existing value if present, otherwise default to
# Epsilon, matching the probe logic.
#
@@ -102,13 +102,13 @@ class Migration23Callback:
config_dict["prediction_type"] = config_dict.get("prediction_type", SchedulerPredictionType.Epsilon.value)
if base == BaseModelType.Flux and type == ModelType.LoRA.value and format == ModelFormat.Diffusers.value:
# Prior to v6.8.0, we used the Diffusers format for FLUX LoRA models that used the diffusers _key_
# Prior to v6.9.0, we used the Diffusers format for FLUX LoRA models that used the diffusers _key_
# structure. This was misleading, as everywhere else in the application, we used the Diffusers format
# to indicate that the model files were in the Diffusers _file_ format (i.e. a directory containing
# the weights and config files).
#
# At runtime, we check the LoRA's state dict directly to determine the key structure, so we do not need
# to rely on the format field for this purpose. As of v6.8.0, we always use the LyCORIS format for single-
# to rely on the format field for this purpose. As of v6.9.0, we always use the LyCORIS format for single-
# file LoRAs, regardless of the key structure.
#
# This change allows LoRA model identification to not need a special case for FLUX LoRAs in the diffusers
@@ -116,7 +116,7 @@ class Migration23Callback:
config_dict["format"] = ModelFormat.LyCORIS.value
if type == ModelType.CLIPVision.value:
# Prior to v6.8.0, some CLIP Vision models were associated with a specific base model architecture:
# Prior to v6.9.0, some CLIP Vision models were associated with a specific base model architecture:
# - CLIP-ViT-bigG-14-laion2B-39B-b160k is the image encoder for SDXL IP Adapter and was associated with SDXL
# - CLIP-ViT-H-14-laion2B-s32B-b79K is the image encoder for SD1.5 IP Adapter and was associated with SD1.5
#
@@ -145,7 +145,7 @@ class Migration23Callback:
def build_migration_23(app_config: InvokeAIAppConfig, logger: Logger) -> Migration:
"""Builds the migration object for migrating from version 22 to version 23.
This migration updates model configurations to the latest config schemas for v6.8.0.
This migration updates model configurations to the latest config schemas for v6.9.0.
"""
return Migration(