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poor results
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@@ -482,7 +482,7 @@ class TimeGradPredictionNetwork2(TimeGradTrainingNetwork2):
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repeated_scale = repeat(scale)
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if self.scaling:
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self.diffusion.scale = repeated_scale
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self.diffusion.scale = repeated_scale.permute(0, 2, 1)[:1]
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future_samples = []
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for _ in range(self.num_parallel_samples):
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