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EdgeDiffusion_distilled_final

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EdgeDiffusion_distilled_final
File size: 3,027 Bytes
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{
  "distill_step": 10000,
  "distill_loss": 0.033403340727090836,
  "model_config": {
    "_use_default_values": [
      "resnet_out_scale_factor",
      "use_linear_projection",
      "projection_class_embeddings_input_dim",
      "resnet_time_scale_shift",
      "time_embedding_dim",
      "class_embeddings_concat",
      "encoder_hid_dim_type",
      "num_attention_heads",
      "transformer_layers_per_block",
      "addition_embed_type",
      "encoder_hid_dim",
      "conv_out_kernel",
      "upcast_attention",
      "only_cross_attention",
      "dropout",
      "timestep_post_act",
      "dual_cross_attention",
      "addition_embed_type_num_heads",
      "time_cond_proj_dim",
      "num_class_embeds",
      "time_embedding_act_fn",
      "attention_type",
      "class_embed_type",
      "resnet_skip_time_act",
      "reverse_transformer_layers_per_block",
      "mid_block_only_cross_attention",
      "cross_attention_norm",
      "mid_block_type",
      "time_embedding_type",
      "conv_in_kernel",
      "addition_time_embed_dim"
    ],
    "_class_name": "UNet2DConditionModel",
    "_diffusers_version": "0.6.0",
    "_name_or_path": "runwayml/stable-diffusion-v1-5",
    "sample_size": 64,
    "in_channels": 4,
    "out_channels": 4,
    "center_input_sample": false,
    "flip_sin_to_cos": true,
    "freq_shift": 0,
    "down_block_types": [
      "CrossAttnDownBlock2D",
      "CrossAttnDownBlock2D",
      "CrossAttnDownBlock2D",
      "DownBlock2D"
    ],
    "mid_block_type": "UNetMidBlock2DCrossAttn",
    "up_block_types": [
      "UpBlock2D",
      "CrossAttnUpBlock2D",
      "CrossAttnUpBlock2D",
      "CrossAttnUpBlock2D"
    ],
    "only_cross_attention": false,
    "block_out_channels": [
      320,
      640,
      1280,
      1280
    ],
    "layers_per_block": 2,
    "downsample_padding": 1,
    "mid_block_scale_factor": 1,
    "dropout": 0.0,
    "act_fn": "silu",
    "norm_num_groups": 32,
    "norm_eps": 1e-05,
    "cross_attention_dim": 768,
    "transformer_layers_per_block": 1,
    "reverse_transformer_layers_per_block": null,
    "encoder_hid_dim": null,
    "encoder_hid_dim_type": null,
    "attention_head_dim": 8,
    "num_attention_heads": null,
    "dual_cross_attention": false,
    "use_linear_projection": false,
    "class_embed_type": null,
    "addition_embed_type": null,
    "addition_time_embed_dim": null,
    "num_class_embeds": null,
    "upcast_attention": false,
    "resnet_time_scale_shift": "default",
    "resnet_skip_time_act": false,
    "resnet_out_scale_factor": 1.0,
    "time_embedding_type": "positional",
    "time_embedding_dim": null,
    "time_embedding_act_fn": null,
    "timestep_post_act": null,
    "time_cond_proj_dim": null,
    "conv_in_kernel": 3,
    "conv_out_kernel": 3,
    "projection_class_embeddings_input_dim": null,
    "attention_type": "default",
    "class_embeddings_concat": false,
    "mid_block_only_cross_attention": null,
    "cross_attention_norm": null,
    "addition_embed_type_num_heads": 64
  }
}