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https://github.com/openvinotoolkit/stable-diffusion-webui.git
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repair medvram and lowvram
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abb948dab0
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@ -100,7 +100,9 @@ def setup_for_low_vram(sd_model, use_medvram):
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sd_model.depth_model.register_forward_pre_hook(send_me_to_gpu)
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if sd_model.embedder:
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sd_model.embedder.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'):
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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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sd_model.model.register_forward_pre_hook(send_me_to_gpu)
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@ -32,7 +32,7 @@ class FrozenOpenCLIPEmbedderWithCustomWords(sd_hijack_clip.FrozenCLIPEmbedderWit
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def encode_embedding_init_text(self, init_text, nvpt):
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ids = tokenizer.encode(init_text)
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ids = torch.asarray([ids], device=devices.device, dtype=torch.int)
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embedded = self.wrapped.model.token_embedding.wrapped(ids).squeeze(0)
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embedded = self.wrapped.model.token_embedding.wrapped(ids.to(self.wrapped.model.token_embedding.wrapped.weight.device)).squeeze(0)
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return embedded
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@ -66,6 +66,6 @@ class FrozenOpenCLIPEmbedder2WithCustomWords(sd_hijack_clip.FrozenCLIPEmbedderWi
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def encode_embedding_init_text(self, init_text, nvpt):
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ids = tokenizer.encode(init_text)
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ids = torch.asarray([ids], device=devices.device, dtype=torch.int)
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embedded = self.wrapped.model.token_embedding.wrapped(ids).squeeze(0)
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embedded = self.wrapped.model.token_embedding.wrapped(ids.to(self.wrapped.model.token_embedding.wrapped.weight.device)).squeeze(0)
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return embedded
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