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-rw-r--r--modules/modelloader.py48
1 files changed, 32 insertions, 16 deletions
diff --git a/modules/modelloader.py b/modules/modelloader.py
index b0f2f33d..e9aa514e 100644
--- a/modules/modelloader.py
+++ b/modules/modelloader.py
@@ -10,7 +10,7 @@ from modules.upscaler import Upscaler
from modules.paths import script_path, models_path
-def load_models(model_path: str, model_url: str = None, command_path: str = None, ext_filter=None, download_name=None) -> list:
+def load_models(model_path: str, model_url: str = None, command_path: str = None, ext_filter=None, download_name=None, ext_blacklist=None) -> list:
"""
A one-and done loader to try finding the desired models in specified directories.
@@ -45,6 +45,8 @@ def load_models(model_path: str, model_url: str = None, command_path: str = None
full_path = file
if os.path.isdir(full_path):
continue
+ if ext_blacklist is not None and any([full_path.endswith(x) for x in ext_blacklist]):
+ continue
if len(ext_filter) != 0:
model_name, extension = os.path.splitext(file)
if extension not in ext_filter:
@@ -82,9 +84,13 @@ def cleanup_models():
src_path = models_path
dest_path = os.path.join(models_path, "Stable-diffusion")
move_files(src_path, dest_path, ".ckpt")
+ move_files(src_path, dest_path, ".safetensors")
src_path = os.path.join(root_path, "ESRGAN")
dest_path = os.path.join(models_path, "ESRGAN")
move_files(src_path, dest_path)
+ src_path = os.path.join(models_path, "BSRGAN")
+ dest_path = os.path.join(models_path, "ESRGAN")
+ move_files(src_path, dest_path, ".pth")
src_path = os.path.join(root_path, "gfpgan")
dest_path = os.path.join(models_path, "GFPGAN")
move_files(src_path, dest_path)
@@ -119,11 +125,27 @@ def move_files(src_path: str, dest_path: str, ext_filter: str = None):
pass
+builtin_upscaler_classes = []
+forbidden_upscaler_classes = set()
+
+
+def list_builtin_upscalers():
+ load_upscalers()
+
+ builtin_upscaler_classes.clear()
+ builtin_upscaler_classes.extend(Upscaler.__subclasses__())
+
+
+def forbid_loaded_nonbuiltin_upscalers():
+ for cls in Upscaler.__subclasses__():
+ if cls not in builtin_upscaler_classes:
+ forbidden_upscaler_classes.add(cls)
+
+
def load_upscalers():
- sd = shared.script_path
# We can only do this 'magic' method to dynamically load upscalers if they are referenced,
# so we'll try to import any _model.py files before looking in __subclasses__
- modules_dir = os.path.join(sd, "modules")
+ modules_dir = os.path.join(shared.script_path, "modules")
for file in os.listdir(modules_dir):
if "_model.py" in file:
model_name = file.replace("_model.py", "")
@@ -132,22 +154,16 @@ def load_upscalers():
importlib.import_module(full_model)
except:
pass
+
datas = []
- c_o = vars(shared.cmd_opts)
+ commandline_options = vars(shared.cmd_opts)
for cls in Upscaler.__subclasses__():
+ if cls in forbidden_upscaler_classes:
+ continue
+
name = cls.__name__
- module_name = cls.__module__
- module = importlib.import_module(module_name)
- class_ = getattr(module, name)
cmd_name = f"{name.lower().replace('upscaler', '')}_models_path"
- opt_string = None
- try:
- if cmd_name in c_o:
- opt_string = c_o[cmd_name]
- except:
- pass
- scaler = class_(opt_string)
- for child in scaler.scalers:
- datas.append(child)
+ scaler = cls(commandline_options.get(cmd_name, None))
+ datas += scaler.scalers
shared.sd_upscalers = datas