unet/config.json

{
  "_class_name": "UNet2DConditionModel",
  "_diffusers_version": "0.13.0.dev0",
  "_name_or_path": "/home/patrick_huggingface_co/latent-upscaler/unet",
  "act_fn": "gelu",
  "attention_head_dim": 64,
  "block_out_channels": [
    384,
    384,
    768,
    768
  ],
  "center_input_sample": false,
  "class_embed_type": null,
  "conv_in_kernel": 1,
  "conv_out_kernel": 1,
  "cross_attention_dim": 768,
  "down_block_types": [
    "KDownBlock2D",
    "KCrossAttnDownBlock2D",
    "KCrossAttnDownBlock2D",
    "KCrossAttnDownBlock2D"
  ],
  "downsample_padding": 1,
  "dual_cross_attention": false,
  "flip_sin_to_cos": true,
  "freq_shift": 0,
  "in_channels": 8,
  "layers_per_block": 4,
  "mid_block_scale_factor": 1,
  "mid_block_type": null,
  "norm_eps": 1e-05,
  "norm_num_groups": null,
  "num_class_embeds": null,
  "only_cross_attention": false,
  "out_channels": 5,
  "resnet_time_scale_shift": "scale_shift",
  "sample_size": null,
  "time_cond_proj_dim": 896,
  "time_embedding_type": "fourier",
  "timestep_act_2": "gelu",
  "up_block_types": [
    "KCrossAttnUpBlock2D",
    "KCrossAttnUpBlock2D",
    "KCrossAttnUpBlock2D",
    "KUpBlock2D"
  ],
  "upcast_attention": false,
  "use_linear_projection": false
}