tune threshold based on more test devices
for async mover
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@ -437,8 +437,8 @@ def load_models_gpu(models, memory_required=0):
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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 - 1.5 * 1024 * (1024 * 1024)) / 1.3))
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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 = int(max(64 * (1024 * 1024), (current_free_mem - 2 * 1024 * (1024 * 1024)) / 1.3))
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if model_size > (current_free_mem - inference_memory):
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vram_set_state = VRAMState.LOW_VRAM
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else:
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lowvram_model_memory = 0
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