Make lowvram less aggressive when there are large amounts of free memory.
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@ -446,7 +446,7 @@ def load_models_gpu(models, memory_required=0, force_patch_weights=False):
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if lowvram_available and (vram_set_state == VRAMState.LOW_VRAM or vram_set_state == VRAMState.NORMAL_VRAM):
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model_size = loaded_model.model_memory_required(torch_dev)
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current_free_mem = get_free_memory(torch_dev)
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lowvram_model_memory = int(max(64 * (1024 * 1024), (current_free_mem - 1024 * (1024 * 1024)) / 1.3 ))
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lowvram_model_memory = int(max(64 * (1024 * 1024), (current_free_mem - extra_mem)))
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if model_size <= (current_free_mem - inference_memory): #only switch to lowvram if really necessary
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lowvram_model_memory = 0
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