vae scale fix

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Saquib Alam 2023-08-04 03:25:22 +05:30 committed by GitHub
parent bbd7c6e097
commit 39da6c3fda
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@ -22,7 +22,7 @@ class NoisyLatentImage:
def generate(self, seed, width, height, batch_size=1):
generator = torch.manual_seed(seed)
latent = torch.randn([batch_size, 4, height // 8, width // 8], generator=generator, device=self.device) / vae_scaling_factor
latent = torch.randn([batch_size, 4, height // 8, width // 8], generator=generator, device=self.device) * vae_scaling_factor
return ({"samples":latent}, )