Montey/edge-python

1{2  "_class_name": "AutoencoderKL",3  "_diffusers_version": "0.29.0",4  "_name_or_path": "model/vae",5  "act_fn": "silu",6  "block_out_channels": [7    128,8    256,9    512,10    51211  ],12  "down_block_types": [13    "DownEncoderBlock2D",14    "DownEncoderBlock2D",15    "DownEncoderBlock2D",16    "DownEncoderBlock2D"17  ],18  "force_upcast": true,19  "in_channels": 3,20  "latent_channels": 4,21  "latents_mean": null,22  "latents_std": null,23  "layers_per_block": 2,24  "norm_num_groups": 32,25  "out_channels": 3,26  "sample_size": 1024,27  "scaling_factor": 0.13025,28  "shift_factor": null,29  "up_block_types": [30    "UpDecoderBlock2D",31    "UpDecoderBlock2D",32    "UpDecoderBlock2D",33    "UpDecoderBlock2D"34  ],35  "use_post_quant_conv": true,36  "use_quant_conv": true37}38