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Update nodes_latent.py
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@ -2,7 +2,7 @@ import torch
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from nodes import MAX_RESOLUTION
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# diffusers library scale the random noise
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vae_scaling_factor = 0.18215
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vae_scaling_factor = 0.18215 # doesn't work
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class NoisyLatentImage:
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def __init__(self, device="cpu"):
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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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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)
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return ({"samples":latent}, )
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