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my-neuron-repo-optimized
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{
  "_class_name": "AutoencoderKL",
  "_commit_hash": null,
  "_diffusers_version": "0.20.2",
  "_name_or_path": "/home/ubuntu/.cache/huggingface/hub/models--stabilityai--stable-diffusion-2-1-base/snapshots/5ede9e4bf3e3fd1cb0ef2f7a3fff13ee514fdf06/vae",
  "_use_default_values": [
    "scaling_factor",
    "force_upcast"
  ],
  "act_fn": "silu",
  "block_out_channels": [
    128,
    256,
    512,
    512
  ],
  "down_block_types": [
    "DownEncoderBlock2D",
    "DownEncoderBlock2D",
    "DownEncoderBlock2D",
    "DownEncoderBlock2D"
  ],
  "force_upcast": true,
  "in_channels": 3,
  "latent_channels": 4,
  "layers_per_block": 2,
  "model_type": "vae-decoder",
  "neuron": {
    "auto_cast": "matmul",
    "auto_cast_type": "bf16",
    "compiler_type": "neuronx-cc",
    "compiler_version": "2.9.0.40+07376825f",
    "dynamic_batch_size": false,
    "input_names": [
      "latent_sample"
    ],
    "output_names": [
      "sample"
    ],
    "static_batch_size": 1,
    "static_height": 64,
    "static_num_channels": 4,
    "static_width": 64
  },
  "norm_num_groups": 32,
  "out_channels": 3,
  "sample_size": 768,
  "scaling_factor": 0.18215,
  "transformers_version": null,
  "up_block_types": [
    "UpDecoderBlock2D",
    "UpDecoderBlock2D",
    "UpDecoderBlock2D",
    "UpDecoderBlock2D"
  ]
}