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prettify startup messages

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This commit is contained in:
Lincoln Stein 2023-07-20 22:45:35 -04:00
parent 85ef3f51e7
commit 9370572169
4 changed files with 7 additions and 5 deletions
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3
invokeai/app/api/dependencies.py
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@ -58,7 +58,8 @@ class ApiDependencies:
@staticmethod
def initialize(config: InvokeAIAppConfig, event_handler_id: int, logger: Logger = logger):
logger.debug(f"InvokeAI version {__version__}")
logger.info(f"InvokeAI version {__version__}")
logger.info(f"Root directory = {str(config.root_path)}")
logger.debug(f"Internet connectivity is {config.internet_available}")
events = FastAPIEventService(event_handler_id)

2
invokeai/app/services/config.py
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@ -397,7 +397,7 @@ setting environment variables INVOKEAI_<setting>.
log_handlers : List[str] = Field(default=["console"], description='Log handler. Valid options are "console", "file=<path>", "syslog=path|address:host:port", "http=<url>"', category="Logging")
# note - would be better to read the log_format values from logging.py, but this creates circular dependencies issues
log_format : Literal[tuple(['plain','color','syslog','legacy'])] = Field(default="color", description='Log format. Use "plain" for text-only, "color" for colorized output, "legacy" for 2.3-style logging and "syslog" for syslog-style', category="Logging")
log_level : Literal[tuple(["debug","info","warning","error","critical"])] = Field(default="debug", description="Emit logging messages at this level or higher", category="Logging")
log_level : Literal[tuple(["debug","info","warning","error","critical"])] = Field(default="info", description="Emit logging messages at this level or higher", category="Logging")
version : bool = Field(default=False, description="Show InvokeAI version and exit", category="Other")
#fmt: on

5
invokeai/app/services/model_manager_service.py
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@ -299,10 +299,11 @@ class ModelManagerService(ModelManagerServiceBase):
else:
config_file = config.root_dir / "configs/models.yaml"
logger.debug(f'config file={config_file}')
logger.debug(f'Config file={config_file}')
device = torch.device(choose_torch_device())
logger.debug(f'GPU device = {device}')
device_name = torch.cuda.get_device_name() if device==torch.device('cuda') else ''
logger.info(f'GPU device = {device} {device_name}')
precision = config.precision
if precision == "auto":

2
invokeai/backend/model_management/model_manager.py
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@ -858,7 +858,7 @@ class ModelManager(object):
loaded_files = set()
new_models_found = False
self.logger.info(f'scanning {self.app_config.models_path} for new models')
self.logger.info(f'Scanning {self.app_config.models_path} for new models')
with Chdir(self.app_config.root_path):
for model_key, model_config in list(self.models.items()):
model_name, cur_base_model, cur_model_type = self.parse_key(model_key)