Add logit scale parameter so it's present when saving the checkpoint.
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@@ -8,6 +8,7 @@ class SDXLClipG(sd1_clip.SD1ClipModel):
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super().__init__(device=device, freeze=freeze, textmodel_json_config=textmodel_json_config, textmodel_path=textmodel_path)
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self.empty_tokens = [[49406] + [49407] + [0] * 75]
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self.text_projection = torch.nn.Parameter(torch.empty(1280, 1280))
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self.logit_scale = torch.nn.Parameter(torch.tensor(4.6055))
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self.layer_norm_hidden_state = False
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if layer == "last":
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pass
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