checkpoint/denoiser/config.json

{
  "_class_name": "UNet2DConditionModel",
  "_diffusers_version": "0.32.2",
  "_name_or_path": "/data02/zhenchen/VTO_mobile/result/cat_final/checkpoint-8280",
  "act_fn": "hardswish",
  "addition_embed_type": null,
  "addition_embed_type_num_heads": 64,
  "addition_time_embed_dim": 256,
  "attention_head_dim": [
    4,
    8,
    14
  ],
  "attention_type": "default",
  "attn_module": "Attention",
  "attn_processor_type": "AttnProcessor2_0",
  "block_out_channels": [
    256,
    512,
    896
  ],
  "center_input_sample": false,
  "class_embed_type": null,
  "class_embeddings_concat": false,
  "context_embedding_caption_projection_dim": 2048,
  "context_embedding_text_embedding_dim": 4096,
  "conv_in_dw_bias": true,
  "conv_in_kernel": 3,
  "conv_in_module": "Conv2d",
  "conv_in_pw_bias": false,
  "conv_out_dw_bias": true,
  "conv_out_kernel": 3,
  "conv_out_module": "Conv2d",
  "conv_out_pw_bias": false,
  "cross_attention_dim": 4096,
  "cross_attention_norm": null,
  "down_block_ff_mult": 3,
  "down_block_kv_heads": 1,
  "down_block_qk_norm": "layer_norm",
  "down_block_resnet_dw_bias": true,
  "down_block_resnet_middle_expansion": 2,
  "down_block_resnet_middle_expansion_type": "input",
  "down_block_resnet_pw_bias": false,
  "down_block_types": [
    "CrossAttnDownBlock2D",
    "CrossAttnDownBlock2D",
    "CrossAttnDownBlock2D"
  ],
  "down_block_use_self_attention": [
    false,
    false,
    true
  ],
  "downsample_conv_module": "SepConv2d",
  "downsample_module": "Downsample2D",
  "downsample_padding": 1,
  "dropout": 0.0,
  "dual_cross_attention": false,
  "encoder_hid_dim": null,
  "encoder_hid_dim_type": "ip_image_proj",
  "encoder_type": "dinov2_base",
  "flip_sin_to_cos": true,
  "freq_shift": 0,
  "height": 2048,
  "in_channels": 32,
  "layers_per_block": 2,
  "mid_block_ff_mult": 3,
  "mid_block_kv_heads": 1,
  "mid_block_only_cross_attention": null,
  "mid_block_qk_norm": "layer_norm",
  "mid_block_resnet_dw_bias": true,
  "mid_block_resnet_middle_expansion": 2,
  "mid_block_resnet_middle_expansion_type": "input",
  "mid_block_resnet_pw_bias": false,
  "mid_block_scale_factor": 1,
  "mid_block_type": "UNetMidBlock2DCrossAttn",
  "mid_block_use_additional_resnet": false,
  "mid_block_use_self_attention": true,
  "norm_eps": 1e-05,
  "norm_num_groups": 32,
  "num_attention_heads": null,
  "num_class_embeds": null,
  "only_cross_attention": false,
  "out_channels": 16,
  "pooled_projection_dim": 2048,
  "projection_class_embeddings_input_dim": 2816,
  "resnet_conv_module": "SepConv2d",
  "resnet_module": "ResnetBlock2D",
  "resnet_out_scale_factor": 1.0,
  "resnet_skip_time_act": false,
  "resnet_time_scale_shift": "default",
  "reverse_transformer_layers_per_block": null,
  "sample_size": 128,
  "time_cond_proj_dim": null,
  "time_embedding_act_fn": null,
  "time_embedding_dim": null,
  "time_embedding_module": "TimestepEmbedding",
  "time_embedding_type": "positional",
  "time_text_embedding_act_fn": "hardswish",
  "time_text_embedding_mode": "default",
  "time_text_embedding_module": "CombinedTimestepTextProjEmbeddings",
  "time_text_embedding_pooled_projection_dim": 2048,
  "time_text_embedding_time_embed_dim": 896,
  "timestep_post_act": null,
  "transformer2d_model_type": "Transformer2DModel",
  "transformer_block_type": "BasicTransformerBlockTryOn",
  "transformer_layers_per_block": [
    1,
    2,
    4
  ],
  "up_block_ff_mult": 3,
  "up_block_kv_heads": 1,
  "up_block_qk_norm": "layer_norm",
  "up_block_receive_additional_residuals": [
    false,
    true,
    true
  ],
  "up_block_resnet_dw_bias": true,
  "up_block_resnet_middle_expansion": 2,
  "up_block_resnet_middle_expansion_type": "input",
  "up_block_resnet_pw_bias": false,
  "up_block_types": [
    "CrossAttnUpBlock2D",
    "CrossAttnUpBlock2D",
    "UpBlock2D"
  ],
  "up_block_use_self_attention": [
    true,
    false,
    false
  ],
  "upcast_attention": null,
  "upsample_conv_module": "SepConv2d",
  "upsample_module": "Upsample2D",
  "use_linear_projection": true,
  "use_pooled_projection": false,
  "use_rope": true,
  "width": 768
}