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Move unet to device right after loading on highvram mode.
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@ -216,6 +216,11 @@ current_gpu_controlnets = []
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model_accelerated = False
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def unet_offload_device():
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if vram_state == VRAMState.HIGH_VRAM or vram_state == VRAMState.SHARED:
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return get_torch_device()
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else:
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return torch.device("cpu")
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def unload_model():
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global current_loaded_model
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@ -228,10 +233,9 @@ def unload_model():
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accelerate.hooks.remove_hook_from_submodules(current_loaded_model.model)
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model_accelerated = False
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#never unload models from GPU on high vram
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if vram_state != VRAMState.HIGH_VRAM:
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current_loaded_model.model.cpu()
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current_loaded_model.model_patches_to("cpu")
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current_loaded_model.model.to(unet_offload_device())
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current_loaded_model.model_patches_to(unet_offload_device())
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current_loaded_model.unpatch_model()
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current_loaded_model = None
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@ -1142,6 +1142,7 @@ def load_checkpoint_guess_config(ckpt_path, output_vae=True, output_clip=True, o
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clipvision = clip_vision.load_clipvision_from_sd(sd, model_config.clip_vision_prefix, True)
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model = model_config.get_model(sd)
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model = model.to(model_management.unet_offload_device())
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model.load_model_weights(sd, "model.diffusion_model.")
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if output_vae:
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