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attentionbias
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2b95c2c866 |
@@ -250,7 +250,7 @@ class ReduxAdvanced:
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for t in conditioning:
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n = [torch.cat((t[0], cond), dim=1), t[1].copy()]
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c.append(n)
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return (c, image, masko and masko.squeeze(-1))
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return (c, image, masko.squeeze(-1) if masko is not None else None)
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# A dictionary that contains all nodes you want to export with their names
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