Add VQGAN imagenet yaml
Browse files- vqgan/imagenet.yaml +34 -0
vqgan/imagenet.yaml
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model:
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base_learning_rate: 4.5e-06
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target: taming.models.vqgan.VQModel
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params:
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embed_dim: 256
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n_embed: 16384
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monitor: val/rec_loss
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ddconfig:
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double_z: false
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z_channels: 256
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resolution: 256
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in_channels: 3
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out_ch: 3
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ch: 128
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ch_mult:
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- 1
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- 1
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- 2
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- 2
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- 4
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num_res_blocks: 2
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attn_resolutions:
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- 16
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dropout: 0.0
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lossconfig:
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target: taming.modules.losses.vqperceptual.VQLPIPSWithDiscriminator
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params:
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disc_conditional: false
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disc_in_channels: 3
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disc_start: 0
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disc_weight: 0.75
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disc_num_layers: 2
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codebook_weight: 1.0
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