{ "_class_name": "UNet2DModel", "_diffusers_version": "0.27.2", "act_fn": "silu", "add_attention": true, "attention_head_dim": null, "attn_norm_num_groups": null, "block_out_channels": [ 128, 128, 256, 256, 256, 256, 256 ], "center_input_sample": true, "class_embed_type": null, "decay": 0.9999, "down_block_types": [ "SkipDownBlock2D", "SkipDownBlock2D", "SkipDownBlock2D", "SkipDownBlock2D", "AttnSkipDownBlock2D", "SkipDownBlock2D", "SkipDownBlock2D" ], "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": 1.41421356237, "min_decay": 0.0, "norm_eps": 1e-06, "norm_num_groups": null, "num_class_embeds": null, "num_train_timesteps": null, "optimization_step": 180000, "out_channels": 3, "power": 0.75, "resnet_time_scale_shift": "default", "sample_size": 64, "set_W_to_weight": false, "time_embedding_type": "fourier", "up_block_types": [ "SkipUpBlock2D", "SkipUpBlock2D", "AttnSkipUpBlock2D", "SkipUpBlock2D", "SkipUpBlock2D", "SkipUpBlock2D", "SkipUpBlock2D" ], "update_after_step": 0, "upsample_type": "conv", "use_ema_warmup": true }