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{
"_class_name": "UNet2DModel",
"_diffusers_version": "0.28.0.dev0",
"act_fn": "silu",
"add_attention": true,
"attention_head_dim": 8,
"attn_norm_num_groups": null,
"block_out_channels": [
128,
128,
256,
256,
512,
512
],
"center_input_sample": false,
"class_embed_type": null,
"decay": 0.9999,
"down_block_types": [
"DownBlock2D",
"DownBlock2D",
"DownBlock2D",
"DownBlock2D",
"AttnDownBlock2D",
"DownBlock2D"
],
"downsample_padding": 1,
"downsample_type": "conv",
"dropout": 0.0,
"flip_sin_to_cos": true,
"freq_shift": 0,
"in_channels": 3,
"inv_gamma": 1.0,
"layers_per_block": 2,
"mid_block_scale_factor": 1,
"min_decay": 0.0,
"norm_eps": 1e-05,
"norm_num_groups": 32,
"num_class_embeds": null,
"num_train_timesteps": null,
"optimization_step": 3000,
"out_channels": 3,
"power": 0.75,
"resnet_time_scale_shift": "default",
"sample_size": 64,
"time_embedding_type": "positional",
"up_block_types": [
"UpBlock2D",
"AttnUpBlock2D",
"UpBlock2D",
"UpBlock2D",
"UpBlock2D",
"UpBlock2D"
],
"update_after_step": 0,
"upsample_type": "conv",
"use_ema_warmup": true
}
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