{ "_class_name": "AutoencoderKL", "_diffusers_version": "0.15.0.dev0", "_name_or_path": "/home/jupyter/.cache/huggingface/hub/models--instruction-tuning-vision--instruction-tuned-cartoonizer/snapshots/95cad2008ad55cbe69c24f5024e225721c72e1ea/vae", "act_fn": "silu", "block_out_channels": [ 128, 256, 512, 512 ], "down_block_types": [ "DownEncoderBlock2D", "DownEncoderBlock2D", "DownEncoderBlock2D", "DownEncoderBlock2D" ], "in_channels": 3, "latent_channels": 4, "layers_per_block": 2, "norm_num_groups": 32, "out_channels": 3, "sample_size": 512, "scaling_factor": 0.18215, "up_block_types": [ "UpDecoderBlock2D", "UpDecoderBlock2D", "UpDecoderBlock2D", "UpDecoderBlock2D" ] }