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bridge_alchemy.py
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bridge_alchemy.py
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"""This is the bridge, It connects the horde with the ML processing"""
# isort: off
# We need to import the argparser first, as it sets the necessary Switches
from worker.argparser.stable_diffusion import args
from worker.utils.set_envs import set_worker_env_vars_from_config
set_worker_env_vars_from_config() # Get `cache_home` from `bridgeconfig.yaml` into the environment variable
import hordelib
# We need to remove these, to avoid comfyUI trying to use them
hordelib.initialise()
from hordelib.horde import SharedModelManager
from hordelib.shared_model_manager import MODEL_CATEGORY_NAMES
# isort: on
from worker.bridge_data.interrogation import InterrogationBridgeData
from worker.logger import logger, quiesce_logger, set_logger_verbosity
from worker.workers.interrogation import InterrogationWorker
if __name__ == "__main__":
set_logger_verbosity(args.verbosity)
quiesce_logger(args.quiet)
bridge_data = InterrogationBridgeData()
bridge_data.reload_data()
SharedModelManager.load_model_managers(
[
MODEL_CATEGORY_NAMES.safety_checker,
MODEL_CATEGORY_NAMES.clip,
MODEL_CATEGORY_NAMES.blip,
MODEL_CATEGORY_NAMES.codeformer,
MODEL_CATEGORY_NAMES.esrgan,
MODEL_CATEGORY_NAMES.gfpgan,
],
)
try:
worker = InterrogationWorker(SharedModelManager.manager, bridge_data)
worker.start()
except KeyboardInterrupt:
logger.info("Keyboard Interrupt Received. Ending Process")
logger.init(f"{bridge_data.worker_name} Instance", status="Stopped")