{ "_class_name": "AutoencoderKL", "_commit_hash": null, "_diffusers_version": "0.26.3", "_name_or_path": "/root/.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": [ "latent_sample" ], "model_type": "vae-decoder", "optlevel": "2", "output_attentions": false, "output_hidden_states": false, "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": 512, "scaling_factor": 0.18215, "task": "semantic-segmentation", "transformers_version": null, "up_block_types": [ "UpDecoderBlock2D", "UpDecoderBlock2D", "UpDecoderBlock2D", "UpDecoderBlock2D" ] }