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import os
from backend import utils
from modules.paths_internal import models_path, normalized_filepath, parser
parser.add_argument(
"--controlnet-dir",
type=normalized_filepath,
help="Path to directory with ControlNet models",
default=os.path.join(models_path, "ControlNet"),
)
parser.add_argument(
"--controlnet-preprocessor-models-dir",
type=normalized_filepath,
help="Path to directory with Annotator models",
default=os.path.join(models_path, "ControlNetPreprocessor"),
)
cmd_opts, _ = parser.parse_known_args()
controlnet_dir: str = cmd_opts.controlnet_dir
os.makedirs(controlnet_dir, exist_ok=True)
preprocessor_dir: str = cmd_opts.controlnet_preprocessor_models_dir
os.makedirs(preprocessor_dir, exist_ok=True)
diffusers_dir: str = os.path.join(models_path, "diffusers")
os.makedirs(diffusers_dir, exist_ok=True)
supported_preprocessors = {}
supported_control_models = []
def add_supported_preprocessor(preprocessor):
supported_preprocessors[preprocessor.name] = preprocessor
def add_supported_control_model(control_model):
supported_control_models.append(control_model)
def try_load_supported_control_model(ckpt_path):
state_dict = utils.load_torch_file(ckpt_path, safe_load=True)
for supported_type in supported_control_models:
state_dict_copy = {k: v for k, v in state_dict.items()}
model = supported_type.try_build_from_state_dict(state_dict_copy, ckpt_path)
if model is not None:
return model
return None
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