ncsnpp-bedroom-256 / config.json
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{
"_class_name": "UNet2DModel",
"_diffusers_version": "0.0.4",
"act_fn": "silu",
"attention_head_dim": null,
"block_out_channels": [
128,
128,
256,
256,
256,
256,
256
],
"center_input_sample": true,
"down_block_types": [
"SkipDownBlock2D",
"SkipDownBlock2D",
"SkipDownBlock2D",
"SkipDownBlock2D",
"AttnSkipDownBlock2D",
"SkipDownBlock2D",
"SkipDownBlock2D"
],
"downsample_padding": 1,
"flip_sin_to_cos": true,
"freq_shift": 0,
"in_channels": 3,
"layers_per_block": 2,
"mid_block_scale_factor": 1.41421356237,
"norm_eps": 1e-06,
"norm_num_groups": null,
"out_channels": 3,
"sample_size": 256,
"time_embedding_type": "fourier",
"up_block_types": [
"SkipUpBlock2D",
"SkipUpBlock2D",
"AttnSkipUpBlock2D",
"SkipUpBlock2D",
"SkipUpBlock2D",
"SkipUpBlock2D",
"SkipUpBlock2D"
]
}