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{
"_class_name": "UNet2DConditionCrossFrameInExistingAttnModel",
"_diffusers_version": "0.21.2",
"_name_or_path": "outputs/train/teddybear/50_sequences/subset_all/input_3/train/train_teddybear/checkpoint-1061000/unet",
"act_fn": "silu",
"addition_embed_type": null,
"addition_embed_type_num_heads": 64,
"addition_time_embed_dim": null,
"attention_head_dim": [
5,
10,
20,
20
],
"attention_type": "default",
"block_out_channels": [
320,
640,
1280,
1280
],
"center_input_sample": false,
"class_embed_type": null,
"class_embeddings_concat": false,
"conv_in_kernel": 3,
"conv_out_kernel": 3,
"cross_attention_dim": 1024,
"cross_attention_norm": null,
"dim_3d_grid": 64,
"dim_3d_latent": 16,
"down_block_types": [
"CrossAttnDownBlock2D",
"CrossAttnDownBlock2D",
"CrossAttnDownBlock2D",
"DownBlock2D"
],
"downsample_padding": 1,
"dropout": 0.0,
"dual_cross_attention": false,
"encoder_hid_dim": null,
"encoder_hid_dim_type": null,
"flip_sin_to_cos": true,
"freq_shift": 0,
"in_channels": 4,
"last_layer_mode": "no_residual_connection",
"layers_per_block": 2,
"mid_block_only_cross_attention": null,
"mid_block_scale_factor": 1,
"mid_block_type": "UNetMidBlock2DCrossFrameInExistingAttn",
"n_input_images": 3,
"n_novel_images": 1,
"network_alpha": null,
"norm_eps": 1e-05,
"norm_num_groups": 32,
"num_3d_layers": 1,
"num_attention_heads": null,
"num_class_embeds": null,
"only_cross_attention": false,
"out_channels": 4,
"pose_cond_dim": 10,
"projection_class_embeddings_input_dim": null,
"random_others": true,
"rank": 64,
"resnet_out_scale_factor": 1.0,
"resnet_skip_time_act": false,
"resnet_time_scale_shift": "default",
"sample_size": 64,
"temb_out_size": 8,
"time_cond_proj_dim": null,
"time_embedding_act_fn": null,
"time_embedding_dim": null,
"time_embedding_type": "positional",
"timestep_post_act": null,
"to_k_other_frames": 2,
"transformer_layers_per_block": 1,
"unproj_reproj_mode": "only_unproj_reproj",
"up_block_types": [
"UpBlock2D",
"CrossAttnUpBlock2D",
"CrossAttnUpBlock2D",
"CrossAttnUpBlock2D"
],
"upcast_attention": false,
"use_linear_projection": true,
"use_lora_in_cfa": false,
"use_temb_in_lora": true,
"vol_rend_aggregator_mode": "ibrnet",
"vol_rend_background_grid_percentage": 0.5,
"vol_rend_disparity_at_inf": 0.5,
"vol_rend_model_background": true,
"vol_rend_proj_in_mode": "multiple",
"vol_rend_proj_out_mode": "multiple"
}