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grammar
Signed-off-by: Can-Zhao <[email protected]>
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generation/maisi/README.md

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@@ -88,7 +88,7 @@ VAE is trained on patches and thus can be trained with 16G GPU if patch size is
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Users can adjust patch size to fit the GPU memory.
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For the released model, we first trained the autoencoder with 16G V100 with small patch size [64,64,64], then continued training with 32G V100 with patch size of [128,128,128].
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DM and ControlNet is train on the whole image instead of patches. The training GPU memory usage depends on the input image size.
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DM and ControlNet are trained on the whole images instead of patches. The training GPU memory usage depends on the input image size.
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| image size | latent size | Peak Memory |
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|--------------|:------------- |:-----------:|
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| 256x256x128 | 4x64x64x32 | 5G |

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