diffusers/consistency-decoder-test

1{2  "_class_name": "UNet2DModel",3  "_diffusers_version": "0.23.0.dev0",4  "act_fn": "silu",5  "add_attention": false,6  "attention_head_dim": 8,7  "attn_norm_num_groups": null,8  "block_out_channels": [9    32,10    6411  ],12  "center_input_sample": false,13  "class_embed_type": null,14  "down_block_types": [15    "ResnetDownsampleBlock2D",16    "ResnetDownsampleBlock2D"17  ],18  "downsample_padding": 1,19  "downsample_type": "conv",20  "dropout": 0.0,21  "flip_sin_to_cos": true,22  "freq_shift": 0,23  "in_channels": 7,24  "layers_per_block": 1,25  "mid_block_scale_factor": 1,26  "norm_eps": 1e-05,27  "norm_num_groups": 32,28  "num_class_embeds": null,29  "num_train_timesteps": 1024,30  "out_channels": 6,31  "resnet_time_scale_shift": "default",32  "sample_size": null,33  "time_embedding_type": "learned",34  "up_block_types": [35    "ResnetUpsampleBlock2D",36    "ResnetUpsampleBlock2D"37  ],38  "upsample_type": "conv"39}40