{ "_class_name": "UNet2DModel", "_diffusers_version": "0.27.2", "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": 5500, "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 }