| { | |
| "_class_name": "UNet2DModel", | |
| "_diffusers_version": "0.21.0.dev0", | |
| "act_fn": "silu", | |
| "add_attention": true, | |
| "attention_head_dim": 8, | |
| "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", | |
| "flip_sin_to_cos": true, | |
| "freq_shift": 0, | |
| "in_channels": 4, | |
| "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, | |
| "optimization_step": 5000, | |
| "out_channels": 4, | |
| "power": 0.75, | |
| "resnet_time_scale_shift": "default", | |
| "sample_size": 32, | |
| "time_embedding_type": "positional", | |
| "up_block_types": [ | |
| "UpBlock2D", | |
| "AttnUpBlock2D", | |
| "UpBlock2D", | |
| "UpBlock2D", | |
| "UpBlock2D", | |
| "UpBlock2D" | |
| ], | |
| "update_after_step": 0, | |
| "upsample_type": "conv", | |
| "use_ema_warmup": true | |
| } | |