pretrained cat models

cats512_vae.yaml

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+# pixel resolution of the model
+resolution: 512
+
+# train 4 channel VAE latents instead of RGB at 1/8 resolution
+vae_latents: true
+
+# number of channels at each level of the UNet
+channels: [128, 256, 384, 512]
+
+# which levels have attention
+attention: [0, 1, 2]

cats512_vae_217.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:689634a3df1722eaa61c6a980872311dd0524f766af699b9fb1c189bc3c0766c
+size 169268456

cats64.yaml

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+# pixel resolution of the model
+resolution: 64
+
+# train 4 channel VAE latents instead of RGB at 1/8 resolution
+vae_latents: false
+
+# number of channels at each level of the UNet
+channels: [128, 256, 384, 512]
+
+# which levels have attention
+attention: [1, 2]

cats64_2738.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:1ed46de084961b5dc7a100f8ce5118ef769fb11f063b5bd232e6afd9b82f472f
+size 168595446