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Merge branch 'comfyanonymous:master' into feature/preview-latent
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commit
71602f2536
@ -207,7 +207,7 @@ def load_model_gpu(model):
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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 = model.model_size()
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current_free_mem = get_free_memory(torch_dev)
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lowvram_model_memory = int(max(256 * (1024 * 1024), (current_free_mem - 1024 * (1024 * 1024)) / 1.2 ))
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lowvram_model_memory = int(max(256 * (1024 * 1024), (current_free_mem - 1024 * (1024 * 1024)) / 1.3 ))
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if model_size > (current_free_mem - (512 * 1024 * 1024)): #only switch to lowvram if really necessary
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vram_set_state = VRAMState.LOW_VRAM
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@ -389,7 +389,10 @@ def should_use_fp16():
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def soft_empty_cache():
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global xpu_available
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if xpu_available:
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global vram_state
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if vram_state == VRAMState.MPS:
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torch.mps.empty_cache()
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elif xpu_available:
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torch.xpu.empty_cache()
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elif torch.cuda.is_available():
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if torch.version.cuda: #This seems to make things worse on ROCm so I only do it for cuda
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