| { | |
| "_class_name": "VQGANModel", | |
| "_version": "0.0.1", | |
| "attn_resolutions": [], | |
| "channel_mult": [ | |
| 1, | |
| 2, | |
| 2, | |
| 4, | |
| 6 | |
| ], | |
| "commitment_cost": 0.25, | |
| "decay": 0.9999, | |
| "decoder_channel_mult": null, | |
| "decoder_hidden_channels": null, | |
| "decoder_res_blocks": null, | |
| "dropout": 0.0, | |
| "extra_mid_res_blocks": null, | |
| "hidden_channels": 128, | |
| "inv_gamma": 1.0, | |
| "min_decay": 0.0, | |
| "no_attn_mid_block": true, | |
| "num_channels": 3, | |
| "num_embeddings": 8192, | |
| "num_res_blocks": 2, | |
| "optimization_step": 178000, | |
| "power": 0.6666666666666666, | |
| "quantized_embed_dim": 64, | |
| "resample_with_conv": true, | |
| "resolution": 256, | |
| "update_after_step": 0, | |
| "use_ema_warmup": false, | |
| "z_channels": 64 | |
| } | |