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{
"_class_name": "VQGANModel",
"_version": "0.0.1",
"attn_resolutions": [],
"channel_mult": [
1,
2,
2,
4,
6
],
"commitment_cost": 0.25,
"dropout": 0.0,
"hidden_channels": 128,
"no_attn_mid_block": true,
"num_channels": 3,
"num_embeddings": 8192,
"num_res_blocks": 2,
"quantized_embed_dim": 64,
"resample_with_conv": true,
"resolution": 256,
"z_channels": 64
}
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