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https://github.com/lllyasviel/Fooocus.git
synced 2026-08-16 13:13:16 +02:00
(requested) support AMD 8GB GPUs via Windows DirectML
this update is requested by users
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@@ -28,13 +28,9 @@ class ModelPatcher:
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if self.size > 0:
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return self.size
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model_sd = self.model.state_dict()
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size = 0
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for k in model_sd:
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t = model_sd[k]
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size += t.nelement() * t.element_size()
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self.size = size
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self.size = ldm_patched.modules.model_management.module_size(self.model)
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self.model_keys = set(model_sd.keys())
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return size
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return self.size
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def clone(self):
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n = ModelPatcher(self.model, self.load_device, self.offload_device, self.size, self.current_device, weight_inplace_update=self.weight_inplace_update)
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@@ -55,14 +51,18 @@ class ModelPatcher:
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def memory_required(self, input_shape):
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return self.model.memory_required(input_shape=input_shape)
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def set_model_sampler_cfg_function(self, sampler_cfg_function):
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def set_model_sampler_cfg_function(self, sampler_cfg_function, disable_cfg1_optimization=False):
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if len(inspect.signature(sampler_cfg_function).parameters) == 3:
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self.model_options["sampler_cfg_function"] = lambda args: sampler_cfg_function(args["cond"], args["uncond"], args["cond_scale"]) #Old way
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else:
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self.model_options["sampler_cfg_function"] = sampler_cfg_function
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if disable_cfg1_optimization:
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self.model_options["disable_cfg1_optimization"] = True
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def set_model_sampler_post_cfg_function(self, post_cfg_function):
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def set_model_sampler_post_cfg_function(self, post_cfg_function, disable_cfg1_optimization=False):
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self.model_options["sampler_post_cfg_function"] = self.model_options.get("sampler_post_cfg_function", []) + [post_cfg_function]
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if disable_cfg1_optimization:
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self.model_options["disable_cfg1_optimization"] = True
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def set_model_unet_function_wrapper(self, unet_wrapper_function):
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self.model_options["model_function_wrapper"] = unet_wrapper_function
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