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@ -90,7 +90,7 @@ class GaussianDiffusionInjector(Injector):
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self.deterministic_sampler.reset() # Keep this reset whenever it is not being used, so it is ready to use automatically.
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model_inputs = {k: state[v] if isinstance(v, str) else v for k, v in self.model_input_keys.items()}
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if self.preprocess_fn is not None:
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hq = getattr(gen, self.preprocess_fn)(hq, **model_inputs)
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hq = getattr(gen.module, self.preprocess_fn)(hq, **model_inputs)
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t, weights = sampler.sample(hq.shape[0], hq.device)
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if self.causal_mode:
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