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optimum-neuron-cache
File size: 3,439 Bytes 
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{
  "_class_name": "UNet2DConditionModel",
  "_commit_hash": null,
  "_diffusers_version": "0.27.2",
  "_name_or_path": "/home/ubuntu/.cache/huggingface/hub/models--hf-internal-testing--tiny-stable-diffusion-torch/snapshots/a88cdfbd91f96ec7f61eb7484b652ff0f4ee701d/unet",
  "_use_default_values": [
    "conv_in_kernel",
    "projection_class_embeddings_input_dim",
    "addition_embed_type_num_heads",
    "resnet_time_scale_shift",
    "only_cross_attention",
    "timestep_post_act",
    "addition_embed_type",
    "time_embedding_type",
    "mid_block_only_cross_attention",
    "time_embedding_act_fn",
    "encoder_hid_dim_type",
    "conv_out_kernel",
    "mid_block_type",
    "num_attention_heads",
    "class_embeddings_concat",
    "transformer_layers_per_block",
    "resnet_out_scale_factor",
    "resnet_skip_time_act",
    "num_class_embeds",
    "dropout",
    "addition_time_embed_dim",
    "class_embed_type",
    "dual_cross_attention",
    "encoder_hid_dim",
    "time_cond_proj_dim",
    "cross_attention_norm",
    "upcast_attention",
    "reverse_transformer_layers_per_block",
    "time_embedding_dim",
    "attention_type",
    "use_linear_projection"
  ],
  "act_fn": "silu",
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  "addition_embed_type_num_heads": 64,
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  "attention_head_dim": 8,
  "attention_type": "default",
  "block_out_channels": [
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    64
  ],
  "center_input_sample": false,
  "class_embed_type": null,
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  "conv_in_kernel": 3,
  "conv_out_kernel": 3,
  "cross_attention_dim": 32,
  "cross_attention_norm": null,
  "down_block_types": [
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  "dropout": 0.0,
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  "encoder_hid_dim": null,
  "encoder_hid_dim_type": null,
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  "in_channels": 4,
  "layers_per_block": 2,
  "mid_block_only_cross_attention": null,
  "mid_block_scale_factor": 1,
  "mid_block_type": "UNetMidBlock2DCrossAttn",
  "neuron": {
    "auto_cast": "matmul",
    "auto_cast_type": "bf16",
    "compiler_type": "neuronx-cc",
    "compiler_version": "2.13.66.0+6dfecc895",
    "dynamic_batch_size": false,
    "inline_weights_to_neff": false,
    "input_names": [
      "sample",
      "timestep",
      "encoder_hidden_states"
    ],
    "model_type": "unet",
    "optlevel": "2",
    "output_attentions": false,
    "output_hidden_states": false,
    "output_names": [
      "sample"
    ],
    "static_batch_size": 64,
    "static_height": 32,
    "static_num_channels": 4,
    "static_sequence_length": 77,
    "static_width": 32
  },
  "norm_eps": 1e-05,
  "norm_num_groups": 32,
  "num_attention_heads": null,
  "num_class_embeds": null,
  "only_cross_attention": false,
  "out_channels": 4,
  "projection_class_embeddings_input_dim": null,
  "resnet_out_scale_factor": 1.0,
  "resnet_skip_time_act": false,
  "resnet_time_scale_shift": "default",
  "reverse_transformer_layers_per_block": null,
  "sample_size": 64,
  "task": "semantic-segmentation",
  "time_cond_proj_dim": null,
  "time_embedding_act_fn": null,
  "time_embedding_dim": null,
  "time_embedding_type": "positional",
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  "transformer_layers_per_block": 1,
  "transformers_version": null,
  "up_block_types": [
    "CrossAttnUpBlock2D",
    "UpBlock2D"
  ],
  "upcast_attention": false,
  "use_linear_projection": false
}