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vae scale fix
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@ -22,7 +22,7 @@ class NoisyLatentImage:
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def generate(self, seed, width, height, batch_size=1):
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def generate(self, seed, width, height, batch_size=1):
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generator = torch.manual_seed(seed)
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generator = torch.manual_seed(seed)
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latent = torch.randn([batch_size, 4, height // 8, width // 8], generator=generator, device=self.device) / vae_scaling_factor
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latent = torch.randn([batch_size, 4, height // 8, width // 8], generator=generator, device=self.device) * vae_scaling_factor
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return ({"samples":latent}, )
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return ({"samples":latent}, )
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