config.json

{
  "_class_name": "NCSNpp",
  "_diffusers_version": "0.0.4",
  "attention_type": "ddpm",
  "attn_resolutions": [
    16
  ],
  "centered": false,
  "ch_mult": [
    1,
    2,
    2,
    2
  ],
  "conditional": true,
  "continuous": true,
  "conv_size": 3,
  "dropout": 0.0,
  "embedding_type": "fourier",
  "fir": true,
  "fir_kernel": [
    1,
    3,
    3,
    1
  ],
  "fourier_scale": 16,
  "image_size": 32,
  "init_scale": 0.0,
  "nf": 32,
  "nonlinearity": "swish",
  "normalization": "GroupNorm",
  "num_channels": 3,
  "num_res_blocks": 1,
  "progressive": "output_skip",
  "progressive_combine": "sum",
  "progressive_input": "input_skip",
  "resamp_with_conv": true,
  "resblock_type": "biggan",
  "scale_by_sigma": true,
  "skip_rescale": true,
  "block_channels": [32, 64, 64, 64],
  "in_channels": 3,
  "num_res_blocks": 1,
  "out_channels": 3,
  "time_embedding_type": "fourier",
  "resnet_eps": 1e-6,
  "mid_block_scale_factor": 1.41421356237,
  "resnet_num_groups": null,
  "down_blocks": [
      "UNetResSkipDownBlock2D",
      "UNetResAttnSkipDownBlock2D",
      "UNetResSkipDownBlock2D",
      "UNetResSkipDownBlock2D"
  ],
  "up_blocks": [
      "UNetResSkipUpBlock2D",
      "UNetResSkipUpBlock2D",
      "UNetResAttnSkipUpBlock2D",
      "UNetResSkipUpBlock2D"
  ]
}