| { |
| "output_dir": "exps", |
| "exp_name": "sit-xl-1-dinov2-b-enc8-repae-vavae-0.5-1.5-400k", |
| "logging_dir": "logs", |
| "report_to": "wandb", |
| "sampling_steps": 10000, |
| "resume_step": 0, |
| "continue_train_exp_dir": null, |
| "wandb_history_path": null, |
| "model": "SiT-XL/1", |
| "num_classes": 1000, |
| "encoder_depth": 8, |
| "qk_norm": false, |
| "fused_attn": true, |
| "bn_momentum": 0.1, |
| "compile": true, |
| "data_dir": "data", |
| "resolution": 256, |
| "batch_size": 256, |
| "allow_tf32": true, |
| "mixed_precision": "fp16", |
| "epochs": 1400, |
| "max_train_steps": 400000, |
| "checkpointing_steps": 50000, |
| "gradient_accumulation_steps": 1, |
| "learning_rate": 0.0001, |
| "adam_beta1": 0.9, |
| "adam_beta2": 0.999, |
| "adam_weight_decay": 0.0, |
| "adam_epsilon": 1e-08, |
| "max_grad_norm": 1.0, |
| "seed": 0, |
| "num_workers": 4, |
| "path_type": "linear", |
| "prediction": "v", |
| "cfg_prob": 0.1, |
| "enc_type": "dinov2-vit-b", |
| "proj_coeff": 0.5, |
| "weighting": "uniform", |
| "vae": "f16d32", |
| "vae_ckpt": "pretrained/vavae-f16d32/vavae-f16d32.pt", |
| "disc_pretrained_ckpt": "pretrained/vavae-f16d32/vavae-f16d32-discriminator-ckpt.pt", |
| "loss_cfg_path": "configs/l1_lpips_kl_gan.yaml", |
| "vae_learning_rate": 0.0001, |
| "disc_learning_rate": 0.0001, |
| "vae_align_proj_coeff": 1.5 |
| } |
