mk_chunk / shape_ft /config.json
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{
"models": {
"denoiser": {
"name": "ElasticSLatFlowModel",
"args": {
"resolution": 32,
"in_channels": 32,
"out_channels": 32,
"model_channels": 1536,
"cond_channels": 1024,
"num_blocks": 30,
"num_heads": 12,
"mlp_ratio": 5.3334,
"pe_mode": "rope",
"share_mod": true,
"initialization": "scaled",
"qk_rms_norm": true,
"qk_rms_norm_cross": true
},
"lora": {
"r": 8,
"alpha": 16
},
"projection": {
"image_size": 512
}
}
},
"dataset": {
"name": "SS3DMSLatShape",
"args": {
"resolution": 512,
"image_size": 512,
"max_num_cond_views": 16,
"min_aesthetic_score": 4.5,
"min_tokens": 3000,
"normalization": {
"mean": [
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"std": [
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]
},
"pretrained_slat_dec": "microsoft/TRELLIS.2-4B/ckpts/shape_dec_next_dc_f16c32_fp16"
}
},
"trainer": {
"name": "CameraConditionedSparseFlowMatchingCFGTrainer",
"args": {
"max_steps": 200000,
"batch_size_per_gpu": 32,
"batch_split": 8,
"num_workers_per_gpu": 8,
"optimizer": {
"name": "AdamW",
"args": {
"lr": {
"lora": 3e-05,
"new": 0.0001,
"old": 3e-05
},
"weight_decay": {
"lora": 0.0,
"new_weights": 0.01,
"old": 0.01
},
"betas": [
0.9,
0.95
],
"eps": 1e-08
}
},
"lr_scheduler": {
"name": "LinearWarmupLRScheduler",
"args": {
"warmup_steps": 2000
}
},
"ema_rate": [
0.9995
],
"snapshot_batch_size": 4,
"mix_precision_mode": "amp",
"mix_precision_dtype": "bfloat16",
"elastic": {
"name": "LinearMemoryController",
"args": {
"target_ratio": 0.75,
"max_mem_ratio_start": 0.5
}
},
"grad_clip": {
"name": "AdaptiveGradClipper",
"args": {
"max_norm": 1.0,
"clip_percentile": 95
}
},
"finetune_ckpt": {
"denoiser": "checkpoints/shape_gen/ckpts/shape_slat.pt"
},
"i_print": 10,
"i_val": 500,
"i_log": 10,
"i_sample": 2000,
"i_save": 2000,
"p_uncond": 0.1,
"t_schedule": {
"name": "uniform",
"args": {}
},
"sigma_min": 1e-05,
"image_cond_model": {
"name": "DinoV3FeatureExtractor",
"args": {
"model_name": "camenduru/dinov3-vitl16-pretrain-lvd1689m",
"image_size": 512
}
},
"max_val_samples": 5,
"num_snapshot_samples": 2,
"skip_init_snapshot": true
}
}
}