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unload depth model if medvram/lowvram enabled
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@ -55,18 +55,20 @@ def setup_for_low_vram(sd_model, use_medvram):
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if hasattr(sd_model.cond_stage_model, 'model'):
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sd_model.cond_stage_model.transformer = sd_model.cond_stage_model.model
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# remove three big modules, cond, first_stage, and unet from the model and then
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# remove four big modules, cond, first_stage, depth (if applicable), and unet from the model and then
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# send the model to GPU. Then put modules back. the modules will be in CPU.
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stored = sd_model.cond_stage_model.transformer, sd_model.first_stage_model, sd_model.model
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sd_model.cond_stage_model.transformer, sd_model.first_stage_model, sd_model.model = None, None, None
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stored = sd_model.cond_stage_model.transformer, sd_model.first_stage_model, getattr(sd_model, 'depth_model', None), sd_model.model
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sd_model.cond_stage_model.transformer, sd_model.first_stage_model, sd_model.depth_model, sd_model.model = None, None, None, None
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sd_model.to(devices.device)
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sd_model.cond_stage_model.transformer, sd_model.first_stage_model, sd_model.model = stored
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sd_model.cond_stage_model.transformer, sd_model.first_stage_model, sd_model.depth_model, sd_model.model = stored
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# register hooks for those the first two models
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# register hooks for those the first three models
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sd_model.cond_stage_model.transformer.register_forward_pre_hook(send_me_to_gpu)
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sd_model.first_stage_model.register_forward_pre_hook(send_me_to_gpu)
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sd_model.first_stage_model.encode = first_stage_model_encode_wrap
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sd_model.first_stage_model.decode = first_stage_model_decode_wrap
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if sd_model.depth_model:
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sd_model.depth_model.register_forward_pre_hook(send_me_to_gpu)
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parents[sd_model.cond_stage_model.transformer] = sd_model.cond_stage_model
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if hasattr(sd_model.cond_stage_model, 'model'):
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