(minor) Fix static checks and typo.

This commit is contained in:
Ryan Dick 2023-11-02 13:31:10 -04:00 committed by Kent Keirsey
parent 4a683cc669
commit 6e7a3f0546
2 changed files with 5 additions and 4 deletions

View File

@ -262,8 +262,7 @@ class InvokeAIAppConfig(InvokeAISettings):
ram : float = Field(default=7.5, gt=0, description="Maximum memory amount used by model cache for rapid switching (floating point number, GB)", json_schema_extra=Categories.ModelCache, )
vram : float = Field(default=0.25, ge=0, description="Amount of VRAM reserved for model storage (floating point number, GB)", json_schema_extra=Categories.ModelCache, )
lazy_offload : bool = Field(default=True, description="Keep models in VRAM until their space is needed", json_schema_extra=Categories.ModelCache, )
log_memory_usage : bool = Field(default=False, description="If True, a memory snapshot will be captured before and after every model cache operation, and the result will be logged (at debug level). There is a time cost to capturing the memory snapshots, so it is recommended to only enable this feature unless you are actively inspecting the model cache's behaviour.", json_schema_extra=Categories.ModelCache)
log_memory_usage : bool = Field(default=False, description="If True, a memory snapshot will be captured before and after every model cache operation, and the result will be logged (at debug level). There is a time cost to capturing the memory snapshots, so it is recommended to only enable this feature if you are actively inspecting the model cache's behaviour.", json_schema_extra=Categories.ModelCache)
# DEVICE
device : Literal["auto", "cpu", "cuda", "cuda:1", "mps"] = Field(default="auto", description="Generation device", json_schema_extra=Categories.Device)

View File

@ -934,7 +934,8 @@ class ModelManager(object):
"""
Returns the preamble for the config file.
"""
return textwrap.dedent("""
return textwrap.dedent(
"""
# This file describes the alternative machine learning models
# available to InvokeAI script.
#
@ -942,7 +943,8 @@ class ModelManager(object):
# model requires a model config file, a weights file,
# and the width and height of the images it
# was trained on.
""")
"""
)
def scan_models_directory(
self,