|
{ |
|
"_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" |
|
} |
|
|