| { | |
| "_class_name": "SegDiTTransformer2DModel", | |
| "_diffusers_version": "0.30.3", | |
| "_name_or_path": "experiments/lifm_DiT-L_16f8_all_sv/checkpoint-900000/denoiser_ema", | |
| "activation_fn": "gelu-approximate", | |
| "attention_bias": true, | |
| "attention_head_dim": 64, | |
| "decay": 0.9999, | |
| "dropout": 0.0, | |
| "in_channels": 17, | |
| "inv_gamma": 1.0, | |
| "min_decay": 0.0, | |
| "norm_elementwise_affine": false, | |
| "norm_eps": 1e-05, | |
| "norm_num_groups": 32, | |
| "norm_type": "ada_norm_zero", | |
| "num_attention_heads": 16, | |
| "num_embeds_ada_norm": 1000, | |
| "num_layers": 24, | |
| "optimization_step": 100001, | |
| "out_channels": 16, | |
| "patch_size": 2, | |
| "power": 0.6666666666666666, | |
| "sample_size": 14, | |
| "upcast_attention": false, | |
| "update_after_step": 0, | |
| "use_ema_warmup": false | |
| } | |