Changes to the previous radiance commit. (#9851)
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comfy/pixel_space_convert.py
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16
comfy/pixel_space_convert.py
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import torch
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# "Fake" VAE that converts from IMAGE B, H, W, C and values on the scale of 0..1
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# to LATENT B, C, H, W and values on the scale of -1..1.
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class PixelspaceConversionVAE(torch.nn.Module):
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def __init__(self):
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super().__init__()
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self.pixel_space_vae = torch.nn.Parameter(torch.tensor(1.0))
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def encode(self, pixels: torch.Tensor, *_args, **_kwargs) -> torch.Tensor:
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return pixels
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def decode(self, samples: torch.Tensor, *_args, **_kwargs) -> torch.Tensor:
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return samples
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