neuronxcc-2.12.68.0+4480452af/MODULE_0cf5036cc6234d94717d/vae_encoder/config.json

{
  "_class_name": "AutoencoderKL",
  "_commit_hash": null,
  "_diffusers_version": "0.26.3",
  "_name_or_path": "/home/ubuntu/.cache/huggingface/hub/models--runwayml--stable-diffusion-v1-5/snapshots/1d0c4ebf6ff58a5caecab40fa1406526bca4b5b9/vae",
  "_use_default_values": [
    "force_upcast",
    "scaling_factor"
  ],
  "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,
  "neuron": {
    "auto_cast": "matmul",
    "auto_cast_type": "bf16",
    "compiler_type": "neuronx-cc",
    "compiler_version": "2.12.68.0+4480452af",
    "dynamic_batch_size": false,
    "inline_weights_to_neff": false,
    "input_names": [
      "sample"
    ],
    "model_type": "vae-encoder",
    "optlevel": "2",
    "output_attentions": false,
    "output_hidden_states": false,
    "output_names": [
      "latent_sample"
    ],
    "static_batch_size": 4,
    "static_height": 512,
    "static_num_channels": 3,
    "static_width": 512
  },
  "norm_num_groups": 32,
  "out_channels": 3,
  "sample_size": 512,
  "scaling_factor": 0.18215,
  "task": "semantic-segmentation",
  "transformers_version": null,
  "up_block_types": [
    "UpDecoderBlock2D",
    "UpDecoderBlock2D",
    "UpDecoderBlock2D",
    "UpDecoderBlock2D"
  ]
}