Fix LCM Sampler
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@@ -110,7 +110,7 @@ class CoreMLModelWrapperLCM(CoreMLModelWrapper):
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model_input_kwargs = self.prepare_inputs(x, t, c_crossattn, control)
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np_out = self.diffusion_model(**model_input_kwargs)["noise_pred"]
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return (torch.from_numpy(np_out).to(x.device),)
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return torch.from_numpy(np_out).to(x.device)
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def __call__(self, latents, ts, encoder_hidden_states, **kwargs):
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return self.apply_model(latents, ts, c_crossattn=encoder_hidden_states)
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return (self.apply_model(latents, ts, c_crossattn=encoder_hidden_states),)
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