ncsnpp-bedroom-256 / config.json
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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"
]
}