{
    "models": {
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            "name": "SparseStructureFlowModel",
            "args": {
                "resolution": 16,
                "in_channels": 8,
                "out_channels": 8,
                "model_channels": 1536,
                "cond_channels": 1024,
                "num_blocks": 30,
                "num_heads": 12,
                "mlp_ratio": 5.3334,
                "pe_mode": "rope",
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                "initialization": "scaled",
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                "qk_rms_norm_cross": true
            }
        }
    },
    "dataset": {
        "name": "ImageConditionedSparseStructureLatent",
        "args": {
           "min_aesthetic_score": 4.5,
            "image_size": 512,
            "pretrained_ss_dec": "microsoft/TRELLIS-image-large/ckpts/ss_dec_conv3d_16l8_fp16"
        }
    },
    "trainer": {
        "name": "ImageConditionedFlowMatchingCFGTrainer",
        "args": {
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            "batch_size_per_gpu": 8,
            "batch_split": 4,
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                    "weight_decay": 0.01,
                    "betas": [0.9, 0.95],
                    "eps": 1e-8
                }
            },
            "ema_rate": [
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            ],
            "mix_precision_mode": "amp",
            "mix_precision_dtype": "bfloat16",
            "grad_clip": {
                "name": "AdaptiveGradClipper",
                "args": {
                    "max_norm": 1.0,
                    "clip_percentile": 95
                }
            },
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            "i_sample": 10000,
            "i_save": 10000,
            "p_uncond": 0.1,
            "t_schedule": {
                "name": "logitNormal",
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                    "mean": 1.0,
                    "std": 1.0
                }
            },
            "sigma_min": 1e-5,
            "image_cond_model": {
                "name": "DinoV3FeatureExtractor",
                "args": {
                    "model_name": "facebook/dinov3-vitl16-pretrain-lvd1689m",
                    "image_size": 512
                }
            }
        }
    }
}