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ncsnpp-bedroom-256

Unconditional Image Generation
Diffusers
PyTorch
ScoreSdeVePipeline
Model card Files Community
2
ncsnpp-bedroom-256
File size: 1,217 Bytes 
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{
  "_class_name": "UNetUnconditionalModel",
  "_diffusers_version": "0.0.4",
  "attention_resolutions": [
    8,
    4,
    2
  ],
  "attn_resolutions": [
    16
  ],
  "block_channels": [
    128,
    128,
    256,
    256,
    256,
    256,
    256
  ],
  "center_input_sample": true,
  "conv_resample": true,
  "ddpm": false,
  "down_blocks": [
    "UNetResSkipDownBlock2D",
    "UNetResSkipDownBlock2D",
    "UNetResSkipDownBlock2D",
    "UNetResSkipDownBlock2D",
    "UNetResAttnSkipDownBlock2D",
    "UNetResSkipDownBlock2D",
    "UNetResSkipDownBlock2D"
  ],
  "downsample_padding": 1,
  "downscale_freq_shift": 0,
  "dropout": 0.0,
  "flip_sin_to_cos": true,
  "image_size": 256,
  "in_channels": 3,
  "ldm": false,
  "mid_block_scale_factor": 1.41421356237,
  "name_or_path": "fusing/bedroom_256-ncsnpp-ve",
  "num_head_channels": null,
  "num_res_blocks": 2,
  "out_channels": 3,
  "resnet_eps": 1e-06,
  "resnet_num_groups": null,
  "sde": false,
  "time_embedding_type": "fourier",
  "up_blocks": [
    "UNetResSkipUpBlock2D",
    "UNetResSkipUpBlock2D",
    "UNetResAttnSkipUpBlock2D",
    "UNetResSkipUpBlock2D",
    "UNetResSkipUpBlock2D",
    "UNetResSkipUpBlock2D",
    "UNetResSkipUpBlock2D"
  ]
}