mirror of https://github.com/vladmandic/automatic
143 lines
4.8 KiB
Python
143 lines
4.8 KiB
Python
import sys
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import threading
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from modules import shared, errors
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def get_model_type(pipe):
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name = pipe.__class__.__name__
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if not shared.native:
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model_type = 'ldm'
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elif "StableDiffusion3" in name:
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model_type = 'sd3'
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elif "StableDiffusionXL" in name:
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model_type = 'sdxl'
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elif "StableDiffusion" in name:
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model_type = 'sd'
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elif "LatentConsistencyModel" in name:
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model_type = 'sd' # lcm is compatible with sd
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elif "InstaFlowPipeline" in name:
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model_type = 'sd' # instaflow is compatible with sd
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elif "AnimateDiffPipeline" in name:
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model_type = 'sd' # animatediff is compatible with sd
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elif "Kandinsky" in name:
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model_type = 'kandinsky'
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elif "HunyuanDiT" in name:
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model_type = 'hunyuandit'
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elif "Cascade" in name:
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model_type = 'sc'
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elif "AuraFlow" in name:
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model_type = 'auraflow'
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elif "Flux" in name:
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model_type = 'f1'
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elif "Lumina" in name:
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model_type = 'lumina'
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elif "OmniGen" in name:
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model_type = 'omnigen'
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elif "CogVideo" in name:
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model_type = 'cogvideox'
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elif "Sana" in name:
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model_type = 'sana'
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else:
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model_type = name
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return model_type
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class ModelData:
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def __init__(self):
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self.sd_model = None
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self.sd_refiner = None
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self.sd_dict = 'None'
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self.initial = True
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self.lock = threading.Lock()
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def get_sd_model(self):
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from modules.sd_models import reload_model_weights
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if self.sd_model is None and shared.opts.sd_model_checkpoint != 'None' and not self.lock.locked():
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with self.lock:
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try:
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# note: reload_model_weights directly updates model_data.sd_model and returns it at the end
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self.sd_model = reload_model_weights(op='model')
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self.initial = False
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except Exception as e:
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shared.log.error("Failed to load stable diffusion model")
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errors.display(e, "loading stable diffusion model")
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self.sd_model = None
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return self.sd_model
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def set_sd_model(self, v):
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self.sd_model = v
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def get_sd_refiner(self):
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from modules.sd_models import reload_model_weights
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if self.sd_refiner is None and shared.opts.sd_model_refiner != 'None' and not self.lock.locked():
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with self.lock:
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try:
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self.sd_refiner = reload_model_weights(op='refiner')
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self.initial = False
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except Exception as e:
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shared.log.error("Failed to load stable diffusion model")
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errors.display(e, "loading stable diffusion model")
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self.sd_refiner = None
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return self.sd_refiner
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def set_sd_refiner(self, v):
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self.sd_refiner = v
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# provides shared.sd_model field as a property
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class Shared(sys.modules[__name__].__class__):
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@property
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def sd_loaded(self):
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import modules.sd_models # pylint: disable=W0621
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return modules.sd_models.model_data.sd_model is not None
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@property
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def sd_model(self):
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import modules.sd_models # pylint: disable=W0621
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if modules.sd_models.model_data.sd_model is None:
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fn = f'{sys._getframe(2).f_code.co_name}:{sys._getframe(1).f_code.co_name}' # pylint: disable=protected-access
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shared.log.debug(f'Model requested: fn={fn}') # pylint: disable=protected-access
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return modules.sd_models.model_data.get_sd_model()
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@sd_model.setter
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def sd_model(self, value):
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import modules.sd_models # pylint: disable=W0621
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modules.sd_models.model_data.set_sd_model(value)
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@property
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def sd_refiner(self):
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import modules.sd_models # pylint: disable=W0621
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return modules.sd_models.model_data.get_sd_refiner()
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@sd_refiner.setter
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def sd_refiner(self, value):
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import modules.sd_models # pylint: disable=W0621
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modules.sd_models.model_data.set_sd_refiner(value)
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@property
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def sd_model_type(self):
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try:
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import modules.sd_models # pylint: disable=W0621
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if modules.sd_models.model_data.sd_model is None:
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model_type = 'none'
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return model_type
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model_type = get_model_type(self.sd_model)
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except Exception:
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model_type = 'unknown'
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return model_type
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@property
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def sd_refiner_type(self):
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try:
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import modules.sd_models # pylint: disable=W0621
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if modules.sd_models.model_data.sd_refiner is None:
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model_type = 'none'
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return model_type
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model_type = get_model_type(self.sd_refiner)
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except Exception:
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model_type = 'unknown'
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return model_type
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model_data = ModelData()
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