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@ -93,7 +93,7 @@ try:
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except:
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except:
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npu_available = False
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npu_available = False
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if args.cpu or args.openvino:
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if args.cpu:
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cpu_state = CPUState.CPU
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cpu_state = CPUState.CPU
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def is_intel_xpu():
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def is_intel_xpu():
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@ -470,7 +470,7 @@ class ModelPatcher:
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current_patches.append((strength_patch, patches[k], strength_model, offset, function))
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current_patches.append((strength_patch, patches[k], strength_model, offset, function))
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self.patches[key] = current_patches
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self.patches[key] = current_patches
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else:
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else:
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new_key=key.replace("diffusion_model","diffusion_model._orig_mod")
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new_key=key.replace("diffusion_model", "diffusion_model._orig_mod")
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if new_key in model_sd:
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if new_key in model_sd:
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p.add(k)
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p.add(k)
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if key in self.patches:
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if key in self.patches:
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@ -1,5 +1,4 @@
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from __future__ import annotations
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from __future__ import annotations
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from comfy.cli_args import args
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import uuid
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import uuid
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import comfy.model_management
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import comfy.model_management
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import comfy.conds
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import comfy.conds
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@ -115,6 +114,7 @@ def prepare_sampling(model: ModelPatcher, noise_shape, conds, model_options=None
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minimum_memory_required = model.memory_required([noise_shape[0]] + list(noise_shape[1:])) + inference_memory
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minimum_memory_required = model.memory_required([noise_shape[0]] + list(noise_shape[1:])) + inference_memory
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comfy.model_management.load_models_gpu([model] + models, memory_required=memory_required, minimum_memory_required=minimum_memory_required)
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comfy.model_management.load_models_gpu([model] + models, memory_required=memory_required, minimum_memory_required=minimum_memory_required)
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real_model = model.model
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real_model = model.model
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return real_model, conds, models
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return real_model, conds, models
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def cleanup_models(conds, models):
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def cleanup_models(conds, models):
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