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Allow model patches to have a cleanup function. (#12878)
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The function gets called after sampling is finished.
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@ -599,6 +599,27 @@ class ModelPatcher:
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return models
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def model_patches_call_function(self, function_name="cleanup", arguments={}):
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to = self.model_options["transformer_options"]
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if "patches" in to:
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patches = to["patches"]
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for name in patches:
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patch_list = patches[name]
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for i in range(len(patch_list)):
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if hasattr(patch_list[i], function_name):
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getattr(patch_list[i], function_name)(**arguments)
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if "patches_replace" in to:
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patches = to["patches_replace"]
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for name in patches:
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patch_list = patches[name]
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for k in patch_list:
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if hasattr(patch_list[k], function_name):
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getattr(patch_list[k], function_name)(**arguments)
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if "model_function_wrapper" in self.model_options:
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wrap_func = self.model_options["model_function_wrapper"]
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if hasattr(wrap_func, function_name):
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getattr(wrap_func, function_name)(**arguments)
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def model_dtype(self):
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if hasattr(self.model, "get_dtype"):
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return self.model.get_dtype()
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@ -1062,6 +1083,7 @@ class ModelPatcher:
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return comfy.lora.calculate_weight(patches, weight, key, intermediate_dtype=intermediate_dtype)
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def cleanup(self):
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self.model_patches_call_function(function_name="cleanup")
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self.clean_hooks()
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if hasattr(self.model, "current_patcher"):
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self.model.current_patcher = None
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