| { |
| "_class_name": "UNet2DModel", |
| "_diffusers_version": "0.23.0.dev0", |
| "act_fn": "silu", |
| "add_attention": false, |
| "attention_head_dim": 8, |
| "attn_norm_num_groups": null, |
| "block_out_channels": [ |
| 32, |
| 64 |
| ], |
| "center_input_sample": false, |
| "class_embed_type": null, |
| "down_block_types": [ |
| "ResnetDownsampleBlock2D", |
| "ResnetDownsampleBlock2D" |
| ], |
| "downsample_padding": 1, |
| "downsample_type": "conv", |
| "dropout": 0.0, |
| "flip_sin_to_cos": true, |
| "freq_shift": 0, |
| "in_channels": 7, |
| "layers_per_block": 1, |
| "mid_block_scale_factor": 1, |
| "norm_eps": 1e-05, |
| "norm_num_groups": 32, |
| "num_class_embeds": null, |
| "num_train_timesteps": 1024, |
| "out_channels": 6, |
| "resnet_time_scale_shift": "default", |
| "sample_size": null, |
| "time_embedding_type": "learned", |
| "up_block_types": [ |
| "ResnetUpsampleBlock2D", |
| "ResnetUpsampleBlock2D" |
| ], |
| "upsample_type": "conv" |
| } |
|
|