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import sys
import threading
from modules import shared, errors
class ModelData:
def __init__(self):
self.sd_model = None
self.sd_refiner = None
self.sd_dict = 'None'
self.initial = True
self.lock = threading.Lock()
def get_sd_model(self):
from modules.sd_models import reload_model_weights
if self.sd_model is None and shared.opts.sd_model_checkpoint != 'None' and not self.lock.locked():
with self.lock:
try:
# note: reload_model_weights directly updates model_data.sd_model and returns it at the end
self.sd_model = reload_model_weights(op='model')
self.initial = False
except Exception as e:
shared.log.error("Failed to load stable diffusion model")
errors.display(e, "loading stable diffusion model")
self.sd_model = None
return self.sd_model
def set_sd_model(self, v):
self.sd_model = v
def get_sd_refiner(self):
from modules.sd_models import reload_model_weights
if self.sd_refiner is None and shared.opts.sd_model_refiner != 'None' and not self.lock.locked():
with self.lock:
try:
self.sd_refiner = reload_model_weights(op='refiner')
self.initial = False
except Exception as e:
shared.log.error("Failed to load stable diffusion model")
errors.display(e, "loading stable diffusion model")
self.sd_refiner = None
return self.sd_refiner
def set_sd_refiner(self, v):
self.sd_refiner = v
# provides shared.sd_model field as a property
class Shared(sys.modules[__name__].__class__):
@property
def sd_model(self):
import modules.sd_models # pylint: disable=W0621
if modules.sd_models.model_data.sd_model is None:
shared.log.debug(f'Model requested: fn={sys._getframe().f_back.f_code.co_name}') # pylint: disable=protected-access
return modules.sd_models.model_data.get_sd_model()
@sd_model.setter
def sd_model(self, value):
import modules.sd_models # pylint: disable=W0621
modules.sd_models.model_data.set_sd_model(value)
@property
def sd_refiner(self):
import modules.sd_models # pylint: disable=W0621
return modules.sd_models.model_data.get_sd_refiner()
@sd_refiner.setter
def sd_refiner(self, value):
import modules.sd_models # pylint: disable=W0621
modules.sd_models.model_data.set_sd_refiner(value)
@property
def sd_model_type(self):
try:
import modules.sd_models # pylint: disable=W0621
if modules.sd_models.model_data.sd_model is None:
model_type = 'none'
return model_type
if shared.backend == shared.Backend.ORIGINAL:
model_type = 'ldm'
elif "StableDiffusionXL" in self.sd_model.__class__.__name__:
model_type = 'sdxl'
elif "StableDiffusion" in self.sd_model.__class__.__name__:
model_type = 'sd'
elif "LatentConsistencyModel" in self.sd_model.__class__.__name__:
model_type = 'sd' # lcm is compatible with sd
elif "InstaFlowPipeline" in self.sd_model.__class__.__name__:
model_type = 'sd' # instaflow is compatible with sd
elif "AnimateDiffPipeline" in self.sd_model.__class__.__name__:
model_type = 'sd' # sd is compatible with sd
elif "Kandinsky" in self.sd_model.__class__.__name__:
model_type = 'kandinsky'
elif "Cascade" in self.sd_model.__class__.__name__:
model_type = 'sc'
else:
model_type = self.sd_model.__class__.__name__
except Exception:
model_type = 'unknown'
return model_type
@property
def sd_refiner_type(self):
try:
import modules.sd_models # pylint: disable=W0621
if modules.sd_models.model_data.sd_refiner is None:
model_type = 'none'
return model_type
if shared.backend == shared.Backend.ORIGINAL:
model_type = 'ldm'
elif "StableDiffusionXL" in self.sd_refiner.__class__.__name__:
model_type = 'sdxl'
elif "StableDiffusion" in self.sd_refiner.__class__.__name__:
model_type = 'sd'
elif "Kandinsky" in self.sd_refiner.__class__.__name__:
model_type = 'kandinsky'
else:
model_type = self.sd_refiner.__class__.__name__
except Exception:
model_type = 'unknown'
return model_type
model_data = ModelData()
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