config.json

{
  "_class_name": "UNet2DModel",
  "_diffusers_version": "0.0.4",
  "act_fn": "silu",
  "attention_head_dim": null,
  "block_channels": [
    224,
    448,
    672,
    896
  ],
  "block_out_channels": [
    16,
    32,
    64,
    128,
    256,
    512,
    512,
    512
  ],
  "center_input_sample": true,
  "down_blocks": [
    "SkipDownBlock2D",
    "SkipDownBlock2D",
    "SkipDownBlock2D",
    "SkipDownBlock2D",
    "SkipDownBlock2D",
    "SkipDownBlock2D",
    "AttnSkipDownBlock2D",
    "SkipDownBlock2D"
  ],
  "downsample_padding": 1,
  "downscale_freq_shift": 0,
  "flip_sin_to_cos": true,
  "freq_shift": 0,
  "image_size": null,
  "in_channels": 3,
  "layers_per_block": 1,
  "mid_block_scale_factor": 1.41421356237,
  "norm_eps": 1e-06,
  "norm_num_groups": null,
  "num_head_channels": 32,
  "num_res_blocks": null,
  "out_channels": 3,
  "resnet_act_fn": "silu",
  "resnet_eps": 1e-05,
  "resnet_num_groups": 32,
  "sample_size": 1024,
  "time_embedding_type": "fourier",
  "up_blocks": [
    "SkipUpBlock2D",
    "AttnSkipUpBlock2D",
    "SkipUpBlock2D",
    "SkipUpBlock2D",
    "SkipUpBlock2D",
    "SkipUpBlock2D",
    "SkipUpBlock2D",
    "SkipUpBlock2D"
  ]
}