| 47 | |
| 48 | |
| 49 | class TinyAutoencoderKL(nn.Module): |
| 50 | latent_magnitude = 3 |
| 51 | latent_shift = 0.5 |
| 52 | |
| 53 | def __init__(self, encoder_path="taesd_encoder.pth", decoder_path="taesd_decoder.pth", latent_channels=None): |
| 54 | """Initialize pretrained TAESD on the given device from the given checkpoints.""" |
| 55 | super().__init__() |
| 56 | if latent_channels is None: |
| 57 | latent_channels = self.guess_latent_channels(str(encoder_path)) |
| 58 | self.encoder = Encoder(latent_channels) |
| 59 | self.decoder = Decoder(latent_channels) |
| 60 | if encoder_path is not None: |
| 61 | self.encoder.load_state_dict(torch.load(encoder_path, map_location="cpu", weights_only=True)) |
| 62 | if decoder_path is not None: |
| 63 | self.decoder.load_state_dict(torch.load(decoder_path, map_location="cpu", weights_only=True)) |
| 64 | |
| 65 | @torch.no_grad() |
| 66 | def encode(self, x): |
| 67 | """ |
| 68 | Args: |
| 69 | x: torch.Tensor, shape (b, 3, h, w) in [-1, 1] |
| 70 | """ |
| 71 | # scale to [0, 1] |
| 72 | x = x.div(2).add(0.5) |
| 73 | return self.encoder(x) |
| 74 | |
| 75 | @torch.no_grad() |
| 76 | def decode(self, z): |
| 77 | """ |
| 78 | Args: |
| 79 | z: torch.Tensor, shape (b, latent_channels, h, w) |
| 80 | """ |
| 81 | # scale to [-1, 1] |
| 82 | return self.decoder(z).mul(2).sub(1) |
| 83 | |
| 84 | def guess_latent_channels(self, encoder_path): |
| 85 | """guess latent channel count based on encoder filename""" |
| 86 | if "taef1" in encoder_path: |
| 87 | return 16 |
| 88 | if "taesd3" in encoder_path: |
| 89 | return 16 |
| 90 | return 4 |
| 91 | |
| 92 | @staticmethod |
| 93 | def scale_latents(x): |
| 94 | """raw latents -> [0, 1]""" |
| 95 | return x.div(2 * TinyAutoencoderKL.latent_magnitude).add(TinyAutoencoderKL.latent_shift).clamp(0, 1) |
| 96 | |
| 97 | @staticmethod |
| 98 | def unscale_latents(x): |
| 99 | """[0, 1] -> raw latents""" |
| 100 | return x.sub(TinyAutoencoderKL.latent_shift).mul(2 * TinyAutoencoderKL.latent_magnitude) |
| 101 | |
| 102 | |
| 103 | if __name__ == "__main__": |