Merge branch 'release_candidate' into dev
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commit
f451994053
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@ -90,8 +90,12 @@ def setup_for_low_vram(sd_model, use_medvram):
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sd_model.conditioner.register_forward_pre_hook(send_me_to_gpu)
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elif is_sd2:
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sd_model.cond_stage_model.model.register_forward_pre_hook(send_me_to_gpu)
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sd_model.cond_stage_model.model.token_embedding.register_forward_pre_hook(send_me_to_gpu)
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parents[sd_model.cond_stage_model.model] = sd_model.cond_stage_model
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parents[sd_model.cond_stage_model.model.token_embedding] = sd_model.cond_stage_model
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else:
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sd_model.cond_stage_model.transformer.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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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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@ -101,9 +105,6 @@ def setup_for_low_vram(sd_model, use_medvram):
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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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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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else:
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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.to(self.wrapped.model.token_embedding.wrapped.weight.device)).squeeze(0)
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embedded = self.wrapped.model.token_embedding.wrapped(ids).squeeze(0)
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return embedded
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