62 lines
2.1 KiB
Python
62 lines
2.1 KiB
Python
import torch
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from modules.sd_hijack_clip import FrozenCLIPEmbedderWithCustomWords
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from ldm_patched.modules import model_management
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class CLIP_SD_15_L(FrozenCLIPEmbedderWithCustomWords):
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def encode_with_transformers(self, tokens):
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model_management.load_models_gpu([self.patcher.patcher])
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return super().encode_with_transformers(tokens)
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class CLIP_SD_21_H(FrozenCLIPEmbedderWithCustomWords):
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def __init__(self, wrapped, hijack):
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super().__init__(wrapped, hijack)
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if self.wrapped.layer == "penultimate":
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self.wrapped.layer = "hidden"
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self.wrapped.layer_idx = -2
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def encode_with_transformers(self, tokens):
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model_management.load_models_gpu([self.patcher.patcher])
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return super().encode_with_transformers(tokens)
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class CLIP_SD_XL_L(FrozenCLIPEmbedderWithCustomWords):
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def __init__(self, wrapped, hijack):
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super().__init__(wrapped, hijack)
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def encode_with_transformers(self, tokens):
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outputs = self.wrapped.transformer(tokens, output_hidden_states=self.wrapped.layer == "hidden")
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if self.wrapped.layer == "last":
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z = outputs.last_hidden_state
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else:
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z = outputs.hidden_states[self.wrapped.layer_idx]
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return z
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class CLIP_SD_XL_G(FrozenCLIPEmbedderWithCustomWords):
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def __init__(self, wrapped, hijack):
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super().__init__(wrapped, hijack)
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if self.wrapped.layer == "penultimate":
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self.wrapped.layer = "hidden"
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self.wrapped.layer_idx = -2
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def encode_with_transformers(self, tokens):
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outputs = self.wrapped.transformer(tokens, output_hidden_states=self.wrapped.layer == "hidden")
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if self.wrapped.layer == "last":
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z = outputs.last_hidden_state
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else:
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z = outputs.hidden_states[self.wrapped.layer_idx]
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pooled_output = outputs.pooler_output
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text_projection = self.wrapped.text_projection
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pooled_output = pooled_output.float().to(text_projection.device) @ text_projection.float()
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z.pooled = pooled_output
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return z
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