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https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
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Unload sd_model before loading the other
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@@ -38,13 +38,18 @@ def setup_for_low_vram(sd_model, use_medvram):
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# see below for register_forward_pre_hook;
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# first_stage_model does not use forward(), it uses encode/decode, so register_forward_pre_hook is
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# useless here, and we just replace those methods
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def first_stage_model_encode_wrap(self, encoder, x):
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send_me_to_gpu(self, None)
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return encoder(x)
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def first_stage_model_decode_wrap(self, decoder, z):
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send_me_to_gpu(self, None)
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return decoder(z)
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first_stage_model = sd_model.first_stage_model
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first_stage_model_encode = sd_model.first_stage_model.encode
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first_stage_model_decode = sd_model.first_stage_model.decode
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def first_stage_model_encode_wrap(x):
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send_me_to_gpu(first_stage_model, None)
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return first_stage_model_encode(x)
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def first_stage_model_decode_wrap(z):
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send_me_to_gpu(first_stage_model, None)
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return first_stage_model_decode(z)
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# remove three big modules, cond, first_stage, 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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@@ -56,8 +61,8 @@ def setup_for_low_vram(sd_model, use_medvram):
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# register hooks for those the first two 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 = lambda x, en=sd_model.first_stage_model.encode: first_stage_model_encode_wrap(sd_model.first_stage_model, en, x)
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sd_model.first_stage_model.decode = lambda z, de=sd_model.first_stage_model.decode: first_stage_model_decode_wrap(sd_model.first_stage_model, de, z)
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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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parents[sd_model.cond_stage_model.transformer] = sd_model.cond_stage_model
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if use_medvram:
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