base_model/config.json

{
  "_class_name": "EDMUnet2D",
  "_diffusers_version": "0.30.3",
  "_name_or_path": "./checkpoints/models/consistency_base-192x3/",
  "attn_resolutions": [
    8,
    16
  ],
  "block_kwargs": {
    "dropout": 0.1
  },
  "concat_balance": 0.5,
  "conditional_inputs": [
    [
      "tensor",
      58,
      1.0
    ]
  ],
  "disable_out_gain": false,
  "emb_channels": null,
  "encode_only": false,
  "fourier_scale": "pos",
  "image_size": 512,
  "in_channels": 5,
  "layers_per_block": 3,
  "logvar_channels": 128,
  "midblock_attention": true,
  "model_channel_mults": [
    1,
    2,
    3,
    4
  ],
  "model_channels": 192,
  "n_logvar": 1,
  "noise_emb_dims": null,
  "out_channels": 5
}