Try to fix memory issue with lora.
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@@ -281,19 +281,23 @@ def load_model_gpu(model):
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vram_set_state = VRAMState.LOW_VRAM
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real_model = model.model
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patch_model_to = None
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if vram_set_state == VRAMState.DISABLED:
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pass
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elif vram_set_state == VRAMState.NORMAL_VRAM or vram_set_state == VRAMState.HIGH_VRAM or vram_set_state == VRAMState.SHARED:
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model_accelerated = False
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real_model.to(torch_dev)
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patch_model_to = torch_dev
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try:
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real_model = model.patch_model()
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real_model = model.patch_model(device_to=patch_model_to)
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except Exception as e:
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model.unpatch_model()
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unload_model()
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raise e
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if patch_model_to is not None:
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real_model.to(torch_dev)
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if vram_set_state == VRAMState.NO_VRAM:
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device_map = accelerate.infer_auto_device_map(real_model, max_memory={0: "256MiB", "cpu": "16GiB"})
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accelerate.dispatch_model(real_model, device_map=device_map, main_device=torch_dev)
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