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DifFace

Diffusers
PyTorch
DifFacePipeline
face image enhancement
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DifFace
File size: 975 Bytes 
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{
  "_class_name": "UNet2DModel",
  "_diffusers_version": "0.12.0.dev0",
  "act_fn": "silu",
  "add_attention": "true",
  "attention_head_dim": 64,
  "block_out_channels": [
    32,
    64,
    128,
    256,
    256,
    512,
    512
  ],
  "center_input_sample": false,
  "down_block_types": [
    "DownBlock2D",
    "DownBlock2D",
    "DownBlock2D",
    "DownBlock2D",
    "AttnDownBlock2D",
    "AttnDownBlock2D",
    "AttnDownBlock2D"
  ],
  "downsample_padding": 1,
  "flip_sin_to_cos": true,
  "freq_shift": 0,
  "in_channels": 3,
  "layers_per_block": [
    1,
    2,
    2,
    2,
    2,
    3,
    4
  ],
  "mid_block_scale_factor": 1,
  "norm_eps": 1e-05,
  "norm_num_groups": 32,
  "out_channels": 6,
  "resnet_time_scale_shift": "scale_shift",
  "sample_size": 512,
  "time_embedding_type": "positional",
  "up_block_types": [
    "AttnUpBlock2D",
    "AttnUpBlock2D",
    "AttnUpBlock2D",
    "UpBlock2D",
    "UpBlock2D",
    "UpBlock2D",
    "UpBlock2D"
  ]
}