85 lines
2.9 KiB
Python
85 lines
2.9 KiB
Python
from modules.sd_hijack_clip import FrozenCLIPEmbedderWithCustomWords
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from ldm_patched.modules import model_management
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from modules.shared import opts
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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_model_gpu(self.forge_objects.clip.patcher)
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outputs = self.wrapped.transformer(input_ids=tokens, output_hidden_states=-opts.CLIP_stop_at_last_layers)
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if opts.CLIP_stop_at_last_layers > 1:
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z = outputs.hidden_states[-opts.CLIP_stop_at_last_layers]
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z = self.wrapped.transformer.text_model.final_layer_norm(z)
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else:
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z = outputs.last_hidden_state
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return z
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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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self.id_start = 49406
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self.id_end = 49407
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self.id_pad = 0
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def encode_with_transformers(self, tokens):
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model_management.load_model_gpu(self.forge_objects.clip.patcher)
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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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z = self.wrapped.transformer.text_model.final_layer_norm(z)
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return z
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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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self.id_start = 49406
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self.id_end = 49407
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self.id_pad = 0
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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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