{ "_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 }