|
{ |
|
"_class_name": "NestedUNet2DConditionModel", |
|
"_diffusers_version": "0.31.0.dev0", |
|
"act_fn": "silu", |
|
"addition_embed_type": "matryoshka", |
|
"addition_embed_type_num_heads": 64, |
|
"addition_time_embed_dim": null, |
|
"attention_head_dim": 8, |
|
"attention_pre_only": false, |
|
"attention_type": "default", |
|
"block_out_channels": [ |
|
64, |
|
128, |
|
256 |
|
], |
|
"center_input_sample": false, |
|
"class_embed_type": null, |
|
"class_embeddings_concat": false, |
|
"conv_in_kernel": 3, |
|
"conv_out_kernel": 3, |
|
"cross_attention_dim": 2048, |
|
"cross_attention_norm": null, |
|
"down_block_types": [ |
|
"DownBlock2D", |
|
"DownBlock2D", |
|
"DownBlock2D" |
|
], |
|
"downsample_padding": 1, |
|
"dropout": 0.0, |
|
"dual_cross_attention": false, |
|
"encoder_hid_dim": null, |
|
"encoder_hid_dim_type": null, |
|
"flip_sin_to_cos": false, |
|
"freq_shift": 0, |
|
"in_channels": 3, |
|
"initialize_inner_with_pretrained": null, |
|
"inner_config": { |
|
"addition_embed_type": "matryoshka", |
|
"block_out_channels": [ |
|
256, |
|
512, |
|
768 |
|
], |
|
"cross_attention_dim": 2048, |
|
"down_block_types": [ |
|
"DownBlock2D", |
|
"CrossAttnDownBlock2D", |
|
"CrossAttnDownBlock2D" |
|
], |
|
"encoder_hid_dim": 2048, |
|
"encoder_hid_dim_type": "text_proj", |
|
"flip_sin_to_cos": false, |
|
"in_channels": 3, |
|
"layers_per_block": [ |
|
2, |
|
2, |
|
2 |
|
], |
|
"masked_cross_attention": false, |
|
"micro_conditioning_scale": 64, |
|
"mid_block_type": "UNetMidBlock2DCrossAttn", |
|
"nesting": true, |
|
"out_channels": 3, |
|
"resnet_time_scale_shift": "scale_shift", |
|
"transformer_layers_per_block": [ |
|
0, |
|
1, |
|
5 |
|
], |
|
"up_block_types": [ |
|
"CrossAttnUpBlock2D", |
|
"CrossAttnUpBlock2D", |
|
"UpBlock2D" |
|
], |
|
"use_attention_ffn": true |
|
}, |
|
"is_temporal": null, |
|
"layers_per_block": [ |
|
2, |
|
2, |
|
1 |
|
], |
|
"masked_cross_attention": true, |
|
"micro_conditioning_scale": 256, |
|
"mid_block_only_cross_attention": null, |
|
"mid_block_scale_factor": 1, |
|
"mid_block_type": null, |
|
"nesting": false, |
|
"norm_eps": 1e-05, |
|
"norm_num_groups": 32, |
|
"norm_type": "layer_norm", |
|
"num_attention_heads": null, |
|
"num_class_embeds": null, |
|
"only_cross_attention": false, |
|
"out_channels": 3, |
|
"projection_class_embeddings_input_dim": null, |
|
"resnet_out_scale_factor": 1.0, |
|
"resnet_skip_time_act": false, |
|
"resnet_time_scale_shift": "scale_shift", |
|
"reverse_transformer_layers_per_block": null, |
|
"sample_size": 256, |
|
"skip_cond_emb": false, |
|
"skip_inner_unet_input": false, |
|
"skip_normalization": true, |
|
"temporal_mode": false, |
|
"temporal_spatial_ds": false, |
|
"time_cond_proj_dim": null, |
|
"time_embedding_act_fn": null, |
|
"time_embedding_dim": 1024, |
|
"time_embedding_type": "positional", |
|
"timestep_post_act": null, |
|
"transformer_layers_per_block": [ |
|
0, |
|
0, |
|
0 |
|
], |
|
"up_block_types": [ |
|
"UpBlock2D", |
|
"UpBlock2D", |
|
"UpBlock2D" |
|
], |
|
"upcast_attention": false, |
|
"use_attention_ffn": false, |
|
"use_linear_projection": false |
|
} |
|
|